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Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen. We're home to the UK's largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what's on the market. Millions of people visit the Rightmove website every month. We have a huge amount of data about how people use the site, and what this means to our customers. You'll be at the centre of our analytics platform to help drive this, modelling and productionising high‑quality data assets in DBT on BigQuery, and maintaining the semantic layer to power the insights that will impact millions of users. Working closely with a highly collaborative and high-performing team of data engineers, analysts, and product teams, you will help standardise metrics, elevate data quality, and enable self‑serve analytics so teams can move faster and smarter to drive real business impact. Ultimately, this role would suit an analytics engineer who's ready to take ownership of building high-quality, well-documented data models, contribute to the development of a scalable analytics layer of a modern data stack, and help shape how data is used across the UK's favourite property site. What You'll Be Doing - Model, build, and productionise robust data assets using dbt and BigQuery - Maintain and evolve the semantic layer in Looker to support consistent, self-serve analytics - Ensure data is transformed, tested, and of high quality before consumption by downstream users - Collaborate with analysts, product managers, and engineers to understand requirements and deliver trusted data models - Document and expose data assets in a way that is easy to understand and use - Apply and advocate engineering best practices across analytics codebases - Maintain the data catalogue and support a single source of truth for analytics - Analyse workflows and collaborate with data engineers to improve performance and maintainability - Be proactive in identifying opportunities to reduce complexity and cost across the data platform - Participate in agile ceremonies, including sprint planning, refinement, and retrospectives We're Looking for Someone Who - Has 3–5 years of proven experience in analytics engineering or data modelling, working on production-grade data models and semantic layers within a large-scale, cloud-based data platform - Has hands-on experience with dbt and understands modular data modelling best practices - Is confident writing and optimising complex SQL queries in BigQuery (or Redshift/Snowflake) - Has experience working with Looker (Core) and maintaining semantic layers (LookML) - Has worked in a production environment where data models are used to power business-critical reporting and dashboards - Understands the importance of documentation, testing, and version control (Git) in analytics workflows - Has experience working in a cloud-native environment - GCP highly preferred, also AWS - Optimistic, curious and gets excited by tech, enjoys keeping up with current trends. Actively gets involved and enjoys contributing to tech events - Is proactive, communicative, and comfortable contributing to technical discussions and design decisions - Brings a collaborative and curious mindset, and enjoys working in cross-functional teams Life at Rightmove Despite our growth, we've remained a friendly, supportive place to work, with employee #1 still working here! We've done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include: We create value… by delivering results and building trust with partners and consumers. We think bigger… by acting with curiosity and setting bold aspirations. We care deeply… by being real, having fun, and valuing diversity. We move together… by being one team - internally collaborative, externally competitive. We make a difference… by focusing on delivering measurable impact. We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 89% of Rightmovers saying we're a great place to work , we're clearly doing something right! What we offer Cash plan for dental, optical and physio treatments. Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan. 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes. Contributory stakeholder pension. Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life. Competitive compensation package. Paid leave for maternity, paternity, adoption & fertility. Travel Loans, Bike to Work scheme, Rental Deposit Loan. Charitable contributions through Payroll Giving and donation matching. Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more. We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home-based positions, different working arrangements apply - full details will be shared during the recruitment process. As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation. At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success. We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve. By applying, you confirm that you are aged at least 18 or over and that you've read and understood our Privacy Policy , which explains how we handle and protect your personal information during the recruitment process. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. About the Team It's an exciting time to join our rapidly growing Accounting team with ample development opportunities. We're growing the Revenue Data team with Engineering and Accounting Data openings to drive automation and systems infrastructure. All whilst while keeping pace within one of the fastest growing marketplace companies globally. About the Role The Engineer for Accounting Infrastructure and Systems designs, builds, and maintains the scalable backend services, data pipelines, and integrations that power DoorDash / Deliveroo's accounting, reconciliation, and financial reporting workflows. Working closely with Finance, Accounting, and fellow engineers, this role translates complex financial and regulatory requirements into reliable, automated systems that ensure accuracy, auditability, and compliance at scale. The ideal candidate brings strong distributed-systems and data engineering expertise along with a solid understanding of financial processes, and takes technical ownership of critical projects while mentoring junior engineers and helping shape the team's architecture and best practices. You're excited about this opportunity because you will… Take technical ownership of critical accounting infrastructure projects — designing and building the backend services, data pipelines, and integrations that power DoorDash's financial reporting, reconciliation, and close workflows at scale. Partner directly with Finance and Accounting stakeholders to translate complex financial and regulatory requirements into reliable, auditable, and automated systems. Shape the team's architecture and engineering best practices, mentoring junior engineers and raising the technical bar across the organization. Drive measurable improvements in data accuracy, pipeline reliability, and system performance in a high-impact, compliance-critical environment. We're excited about you because… You have 3 - 4+ years of experience in software or data engineering, with a strong track record of owning and delivering complex backend or data infrastructure projects. You have deep expertise in distributed systems and data engineering, with hands-on experience in tools like Snowflake, dbt, Fivetran, or similar modern data stack technologies. You can navigate the intersection of engineering and finance — understanding concepts like revenue recognition, reconciliation, and auditability well enough to build systems that meet those requirements. You have a collaborative, low-ego approach and can effectively partner with both technical and non-technical stakeholders across Finance, Accounting, and Engineering. Familiarity with SOX controls, data quality frameworks, or financial systems (e.g., NetSuite) is a strong plus. Why Join Us? At DoorDash, you'll do work that matters, solving real-world problems in a massive marketplace that's constantly evolving. By joining our London-based team on a Deliveroo contract, you get the unique advantage of working within a vibrant local business environment while directly blueprinting global-scale processes for the broader DoorDash Inc. group. We're problem solvers, community builders, and innovators, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day: Your work directly improves experiences for merchants, consumers, partners, and dashers/riders worldwide by building clean, frictionless operational workflows. 🌱 Learn fast in an entrepreneurial environment: Work close to the market with autonomy, pace, and real responsibility. 🧠 Build a career, not just a role: Stretch yourself, develop new skills, and grow as the global business evolves. 🌎 Deliver together in an inclusive culture: Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. #LI-ID1 Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find more English Speaking Jobs in United Kingdom on Arbeitnow

ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find more English Speaking Jobs in United Kingdom on Arbeitnow

FEQ128R5 Solutions Architect Greenfield Enterprise France The role is based in Paris or within commuting distance of the office. The Role As a Solutions Architect, you will lead the technical strategy for your Greenfield (New Logo) customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations Track record of driving platform adoption and consumption growth within accounts Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences Fluency in French and English Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: Databricks certifications (Data Engineer, ML, Platform) Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against Background in a data/AI company or cloud provider Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find more English Speaking Jobs in France on Arbeitnow

FEQ128R7 As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations Track record of driving platform adoption and consumption growth within accounts Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: Databricks certifications (Data Engineer, ML, Platform) Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against Background in a data/AI company or cloud provider Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find Jobs in Switzerland on Arbeitnow

Are you a Data Engineer who thrives on building robust, scalable, and secure data platforms in the cloud? Join the Data Chapter at Wypoon Technologies , where we match top-tier engineering talent with impactful opportunities across the Netherlands. You'll help design and deliver end-to-end data solutions for leading organizations, working with cutting-edge technologies across Azure, GCP and hybrid environments. From building real-time streaming pipelines to implementing modern lakehouse architectures , your expertise will directly contribute to data-driven innovation in sectors like f inance , ecommerce, energy , logistics , and technology . Whether you're passionate about big data processing, cloud infrastructure, or data automation, our goal is to connect you with projects that match your skills and ambitions. Why Join Us? At Wypoon Technologies, you'll work on dynamic projects for industry leaders such as Heineken, ING, ASML, Philips, and Shell , tackling exciting challenges and delivering tailored enterprise solutions. Here's what makes us stand out: ✔ Impactful Work : Shape the future of our clients' digital landscapes. ✔ Innovative Environment : Collaborate within a supportive team that values learning and growth. ✔ State-of-the-art technology : Access the latest tools and platforms. Key Responsibilities Design, build, and maintain scalable data pipelines and workflows using Python, SQL, Airflow, and dbt . Develop cloud-based data solutions, primarily in GCP , while working with modern data architectures and modeling practices. Design technical architectures and translate business and product needs into scalable technical solutions . Develop clean, maintainable, and testable code using strong engineering and testing practices. Collaborate closely with product, data, engineering, and business stakeholders to define requirements and coordinate technical topics. Take ownership of solutions while aligning with technical peers and proactively contributing to team improvements. Requirements 5–7 years of Data Engineering experience in complex, fast-paced environments. Strong hands-on experience with Python and SQL . Strong experience with Apache Airflow or similar workflow orchestration tools. Experience with dbt or similar data transformation and modeling tools. Experience with GCP is preferred ; strong Azure or AWS experience is also considered. Strong knowledge of data modeling, data transformation, and architecture design . Experience building clean, maintainable, production-grade code with appropriate testing strategies . Experience with data analysis workflows using Polars, Pandas, or similar libraries . Strong ability to translate business and product requirements into technical designs . Comfortable with context switching , independent ownership, stakeholder collaboration, and working in a product-oriented environment. What We Offer Currently living in the Netherlands and eligible to work in the Netherlands . Competitive Compensation : Salary tailored to your skills and experience. Generous Time Off : 25 paid vacation days (based on a 40-hour work week). Tax Benefits : Eligibility for the 30% ruling. Travel Reimbursement : We've got your daily commute covered. Top-Notch Equipment : A high-quality device to ensure you work efficiently. Professional Development : Financial support for certifications, technical training, and language courses—because we value your long-term career growth. Comprehensive Relocation Assistance : Extensive support to help you settle in smoothly. Community & Fun : Enjoy team events and connect with developers from around the globe! Join Wypoon Technologies, where your expertise will thrive, your ideas will be valued, and your career will reach new heights. Apply now and make a real impact! Find more English Speaking Jobs in Netherlands on Arbeitnow

The AI Teams at Agile Robots are looking for a Robotics Data Engineer (m/f/d) Data Generation & Curation , who will build the pipeline that records, curates, and prepares multimodal robot datasets for foundation-model training. The pipeline has to run across different robot setups and combine real recordings with synthetic data from simulation. Responsibilities Multimodal Capture: Build ROS 2 based capture for RGB and RGB-D cameras, wrist cameras, joint encoders, force-torque sensors, and teleoperation signals. Synchronization: Keep multimodal streams time-aligned through sensor synchronization, calibration, and timestamp integrity checks. Dataset Health: Define and run health checks that detect dropped frames, sync drift, corrupt frames, and missing modalities. Dataset Curation: Filter and deduplicate recorded data, maintain dataset metadata, and define train and evaluation splits. Synthetic Data Integration: Integrate synthetic data generated in simulation into the same datasets and formats as real recordings. Preprocessing: Build preprocessing that aligns, slices, and inspects recorded episodes into a form that foundation-model training can use directly. Formats & Release: Design dataset schemas and storage formats, version datasets so experiments can be reproduced, and package them for external release where approved. Essential Skills Engineering Background: Degree in Computer Science, Robotics, Electrical Engineering, or a related field, or equivalent qualification plus professional experience building comparable data or robotics software systems. ROS 2 Pipelines: Hands-on experience building sensor recording or data pipelines in ROS 2 with Python. Sensor Synchronization: Experience synchronizing multiple cameras and sensors, including calibration and handling timestamp drift. Dataset Schemas: Experience designing schemas and storage layouts for multimodal time-series data, in formats such as Parquet, Zarr, or HDF5. Camera Pipelines: Working knowledge of camera pipelines and video encoding, and how they affect data size and frame integrity. Beneficial Skills Dataset Curation: Experience building curation steps for machine learning datasets, such as filtering, deduplication, and split design. Synthetic Data: Familiarity with combining simulated and real data in one training dataset. C++ Development: Experience writing C++ for performance-critical capture or driver code. Robot Learning Datasets: Familiarity with dataset conventions used in robot learning, such as LeRobot. Teleoperation Data: Experience recording teleoperation data for imitation learning. What we offer A dynamic high-tech company, combined with financial soundness and world-class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Lots of development opportunities as we continue to grow. Challenging tasks and impactful projects alongside experts that enable professional and personal growth. Corporate Benefits Program covering health, mobility, and learning for 100€ net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 3500 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us! We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability. Find more English Speaking Jobs in Germany on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Frankfurt am Main oder Essen ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Du gestaltest und leitest zielstrebig herausfordernde Data Science Projekte in einem interdisziplinärem Team Routiniert erkennst Du die Bedürfnisse Deines Kunden und entwickelst effektive, datengetriebene Lösungen Aus den Datensätzen Deiner Kunden extrahierst Du die für die Aufgabenstellung entscheidenden Daten Du kreierst innovative Lösungen mithilfe moderner Methoden aus den Bereichen Statistik, Machine Learning, mathematischer Optimierung und Visual Analytics Enge Zusammenarbeit mit Deinem Tribe Lead (Vorgesetzte:r) Du kommunizierst Deine Ergebnisse erfolgreich Deinem Kunden und begleitest anschließend die umfassende Implementierung Deiner Idee zusammen mit dem Data Engineering Team Als Expert:in mit Fachwissen nimmst Du an Kundenterminen teil Dein Profil Data ist auch in Deiner DNA ? Das solltest Du mitbringen: Abgeschlossenes Studium im Bereich Informatik, Data Science, Mathematik oder einem datengetriebenem Studiengang Fließende Deutsch- und Englischkenntnisse in Wort und Schrift sind erforderlich Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich zu kommunizieren sowie out-of-the-box-thinking Hohes Engagement für kontinuierliches Lernen und Erproben neuer Tools und Technologien. Mindestens 5 Jahre Projekterfahrung im Data Umfeld, idealerweise in einem Beratungsunternehmen Mindestens 3 Jahre praktische Erfahrung mit Cloud Technologien (Azure, AWS) Sehr gute Kenntnisse in Software Development (Python, object oriented) Praktische Erfahrung in Data Science Bereichen wie LLMs/NLP (z.B. Transformer, Conversational AI) oder Computer Vision (z.B. Stable Diffusion, OCR) Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Janine Sauer, Senior HR Managerin Find Jobs in Germany on Arbeitnow

Founding Engineer Role can be based remotely in the EEA or hybrid in our London or Munich offices. Fixed software is the wrong shape for logistics, because every team runs its processes differently. Tare is our solution. Combining agentic AI with deterministic logic means Tare fits to any customer but runs the same way every single time. We have just closed our pre-seed funding round with a top European VC and we are now looking for a founding engineer to build Tare with us. About Tarebase We're Dom and Felix, the two co-founders of Tarebase. Dom is a former SVP at a global unicorn, overseeing tens of millions in global carrier spend, with deep logistics domain experience from Amazon, Nestle and EY. Felix was a founding engineer at Raycast and has spent more than two decades building software systems. We've raised pre-seed funding from a top-tier European VC and are building our MVP together with early design partners, who will become our first customers. As our first employee, you'd have a real say in both the product and the engineering decisions behind it. Logistics is difficult to run well, and experienced people are hard to hire. Smaller businesses often pay too much for shipping, struggle to give customers a good delivery experience, and can't match larger competitors' technology or hiring budgets. The software available to them is often expensive, dated or too cumbersome. We want to make logistics less of a burden so these businesses can spend more time selling their products.They're the customers we want to build for: Europe alone has around 26 million SMEs, employing more than 100 million people. Just putting a chat interface and GPT-wrapper on top of the problem is not what we're building. We're combining extraction and analysis, workflow automation, agentic and compiled AI with deterministic, verifiable logic. Recent advances in AI make more of this possible, but building a system that does it reliably is still hard. We're looking for someone who wants to advance the state of the art in this area with us. About you The description below is an ideal, not a checklist. If you don't tick every box but feel ready for the challenges of being the first engineer at an early-stage startup, we'd still like to hear from you. What matters most to us is that you're motivated, committed, willing to stick with hard problems, and someone we can count on. You have a strong technical background and a track record of building and shipping software systems, whether that's cloud backends, web applications, AI-supported systems or a mix of these. You enjoy working across engineering and product. You think like a product engineer: you care about UX/UI, and you want direct contact with customers and the people who use what you build. You'll work mostly in Rust and TypeScript, across the full stack: data engineering, AI, backend, frontend, infrastructure and deployment. We especially value experience with either language from before AI coding tools and a solid understanding of its ecosystem so you can make considered choices. We also value experience operating distributed systems and data-intensive systems in the cloud, including multi-tenant environments and the scaling and security challenges they bring, databases, and durable execution runtimes. You use coding agents effectively, but stay close to the code. You know their limitations in a large codebase, review and challenge their work, and take testing, debugging, refactoring and documentation seriously. You can design useful tests and evaluations, manage complexity, and tell when something is genuinely ready to ship. You also enjoy digging into challenging problems. You keep up with what current models, agent harnesses and research make possible, and you can judge what actually works for a given use case. You know how to build agents and AI workflows into a product and use evaluations, validation and deterministic logic to make what they produce consistent and verifiable. You're comfortable extracting structure from messy documents and care a lot about data quality. You experiment, measure the results, question your assumptions, and keep going until you've found a solution that really holds up. You can turn that work into shipped software, taking a product idea or technical direction through design and implementation without waiting for someone to assign you a ticket. We work remotely, so clear communication and follow-through matter a lot to us. We value people who manage their own work, can be counted on, and raise important issues early. How to apply Apply with the button on this page. Please ensure to use a hand-written CV. We read every application ourselves. It's fine to use tools for spelling or translation, but we want to hear your voice. Our process The process should take a few weeks from start to finish depending on your availability. Application review. If we love your resume we will send over some short questions. Intro call with Dom and Felix. An informal conversation about the role, the technology and what you're looking for. Technical deep dive with Felix. We talk briefly about a system you've worked on (no need to share anything confidential), then work through a system design problem together. Half a day with us in Munich or London. We cover your travel, hotel if needed, and meals. You spend about two hours on a made-up task similar to the problems we work on, using your usual tools and coding agents. Then we have lunch, go through your work together, and talk through a customer scenario. References and offer. We speak with 1-2 people you've worked with (only with your agreement) and aim to decide within 48 hours. If we don't move forward after the technical conversation or later, we'll share some feedback with you. Compensation : €100.000–120.000 base salary plus 0.75–1% equity Setup: A MacBook Pro and whatever else you need to work well. If you'd rather not work from home, we'll pay for a coworking space near you. Location : Munich or London, or remote within Europe (GMT-1 to GMT+3) with regular meet-ups. Find more English Speaking Jobs in Germany on Arbeitnow

Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team—from Finance to HR—to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo—all while working as one team. If you're driven by innovation and ready to make an impact at scale, we'd love to hear from you. The Data & Automations Team The Data & Automations team builds and operates Pigment's internal data platform, and designs, implements, and maintains the intelligent automation solutions that rely on it. Together, they streamline business processes and enhance data-driven decision making: we empower product, business and corporate functions through technology integration, robust data architecture, and process optimization, enabling teams to focus on high-value activities while ensuring accuracy and scalability. The data platform is the foundation of everything we deliver. It is a centralized, governed ecosystem that collects, stores, transforms, and serves data to internal consumers across Product, Go-To-Market (GTM), and General & Administrative (G&A) functions, providing a single source of truth for analytics, automations, and AI. Making it reliable, secure, cost-efficient, and scalable is at the core of our mission. The team also consolidates and orchestrates AI efforts across Pigment, from governance and enablement to building AI-powered solutions. Our team tackles diverse challenges, from integrating finance and HR systems and streamlining employee lifecycle processes, to building pipelines that turn product usage and customer interactions into actionable insights for Finance or GTM teams. AI is now at the center of most of what we do with data: many of our pipelines feed LLM-powered solutions, and the quality, structure, and governance of our data architecture directly determine what these solutions can deliver. The team is led by Pigment's Deputy CISO and works closely with the Security team: security and data governance are part of how we build, not an afterthought. Role As a Junior Data and Automations Engineer, you will contribute to the continued development of Pigment's data platform: ingestion pipelines, dbt models, orchestration, data quality, and the underlying cloud infrastructure. You will also build and maintain the data pipelines, automations, and AI projects that support our G&A (Finance, People, IT) and GTM (Sales, Customer Success, Partnerships) teams. You will work closely with senior engineers, starting with well-scoped tasks and progressively taking ownership of small projects end to end, from requirements gathering to production monitoring. This role involves collaborating with a wide range of internal stakeholders and requires excellent communication skills in English (primarily) and French, verbal and written. Tech environment Our core stack relies on Google Cloud Platform, maintained with Terraform, with components including BigQuery, Cloud Run, and Cloud Composer (Airflow), as well as dbt, Fivetran, Hightouch, Elementary for data observability, and Python for integrations and automations. Our pipelines connect business systems such as Salesforce, NetSuite, our HRIS, Gong, or Slack, and feed Pigment applications used by our own business teams. We also build LLM-powered pipelines and use AI tools in our daily engineering work. You will have the opportunity to learn and grow your skills across these technologies while making a meaningful impact on Pigment's operational efficiency. Key Responsibilities Under the supervision of the Data & Automations team's more senior members, you will participate in addressing the following topics. Data Platform & Infrastructure: Develop and maintain ingestion pipelines from APIs, databases, and SaaS tools, using Fivetran, Airflow, and Python Build and maintain dbt models that turn raw data into clean, documented, and tested datasets Contribute to the evolution of our orchestration, CI/CD, and infrastructure-as-code setup Help improve data quality, observability, and alerting across the platform G&A and GTM Data Pipelines & Automations: Build pipelines and integrations that sync data between business systems (CRM, ERP, HRIS) through our data warehouse, including reverse ETL with Hightouch Develop Python-based automations that remove manual work for teams such as Finance, People, IT, and Customer Success Prepare reliable datasets for reporting and for the Pigment applications used by business teams AI Projects: Contribute to AI-powered solutions, such as LLM pipelines that extract, classify, and enrich unstructured data (call transcripts, messages, tickets) Build the data foundations these projects rely on: AI-ready datasets, usage and observability data, evaluation data Apply data architecture principles that make our data reliable, well-documented, and safely accessible for AI use cases (context, retrieval, access scoping) Monitoring & Support: Monitor pipelines and automations, troubleshoot incidents, and fix root causes Document data models, pipelines, and processes for both technical and business readers Collaboration & Learning: Work with stakeholders - as diverse as Finance, People, Sales, and Product - to understand requirements and translate them into data solutions Participate in code reviews and knowledge sharing sessions Continuously expand your knowledge of data engineering, automation, and AI best practices What you'll do Under the supervision of the Business Automation team's more senior members, you will participate in addressing the following topics. Automation Development: Develop and maintain Python-based automations and solutions to streamline enterprise processes Implement integrations between various systems and applications using APIs and other connection methods Assist in maintaining CI/CD pipelines for automation projects Data Integration & Transformation: Support the implementation of data pipelines that integrate data from various sources, including APIs, external databases, and third-party services Assist in transforming raw data into clean and ready-to-use models using SQL and dbt Collaborate on data quality monitoring and improvement initiatives Monitoring and Support: Help implement monitoring for automation workflows and data pipelines Troubleshoot and resolve issues with existing automation solutions Assist in documentation of systems, processes, and workflows Collaboration & Learning: Work collaboratively with team members and stakeholders - as diverse as HR, Sales and Product Engineering - to understand requirements and implement effective solutions Continuously expand knowledge of data engineering and automation best practices Participate in code reviews and knowledge sharing sessions Who you are Technical skills The ideal candidate will possess most or all of the following qualifications. Hands-on experience through personal projects (share your GitHub account!), particularly contributions to open source initiatives, will be valued equally to professional and academic experience for this role. Up to 3 years of relevant experience in data engineering, including apprenticeships, internships, and/or demonstrable personal projects Strong SQL skills and understanding of data modeling concepts (e.g. layered or dimensional models) Solid coding skills in Python Understanding of ELT/ETL patterns, pipeline design, and data quality testing Knowledge of version control systems (Git) and CI/CD concepts Practical experience with a public cloud provider and a cloud data warehouse Attention to detail and analytical problem-solving skills, with the ability to identify edge cases Good understanding of AI and LLM principles, along with practical use of AI tools in your work Excellent communication skills in both French and English, written and verbal Soft skills Problem-solving mindset with critical thinking about business processes Strong communication abilities - translating technical concepts to non-technical audiences and active listening skills for accurately capturing business requirements A natural curiosity, eagerness to learn, and comfort asking questions early rather than staying blocked are an absolute must Bonus points: Basic project management capabilities - tracking tasks, managing timelines, and reporting progress Nice to have Hands-on experience with dbt, Airflow, or Terraform Exposure to ingestion and reverse ETL tools Hands-on experience building LLM-powered pipelines or applications What we offer Competitive package Stock options to ensure you have a stake in Pigment's growth The best health insurance with Alan Blue entirely free for you and your family Weekly Lunch and Lunch vouchers (Swile card) to cover your lunch breaks with total flexibility Subscription to Egym Wellpass (ex-Gymlib) for full access to gyms, studios, and wellness spaces across France Trust and flexible working hours Along with one company offsite every year, we have brand new offices at the heart of major cities including New York, San Francisco, Toronto, Paris, and London High-end equipment (based on stock/availability) to do your work in the best conditions Remote-friendly environment We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially. Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice . Find more English Speaking Jobs in France on Arbeitnow

Analytics Engineer Prolific Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As an Analytics Engineer in the Data Infrastructure Team at Prolific, you'll be at the forefront of transforming and maintaining Prolific's data infrastructure as the way people work with data changes rapidly. Your work will be instrumental in redesigning and scaling our data stack, ensuring data pipelines are robust, efficient, and reliable, and that our data is ready to be queried by people and AI systems alike. By owning and optimising our analytics codebase and semantic layer, you'll empower teams across the business to get trustworthy answers, whether through BI dashboards or natural language questions. You'll help shape how we bring LLMs and agents into analytics engineering safely and effectively, and you'll bridge the gap between technical and non-technical stakeholders so that complex data solutions are clearly understood and aligned with business goals. What you'll bring to the role Expertise in dbt & SQL: Deep experience with dbt and SQL to design, build, and maintain scalable data models. Semantic Modelling: Experience defining metrics, entities, and business logic in a semantic layer (e.g. dbt Semantic Layer/MetricFlow, Cube, LookML or similar), with an understanding of what makes a model reliable for natural language querying. Applied AI in Data Workflows: Hands-on experience using LLMs in data work, such as classification, extraction, or enrichment within transformations, and an understanding of how to evaluate, test, and govern outputs that aren't fully deterministic. Agentic Tooling: Familiarity with AI coding assistants and agents (e.g. Claude Code, Cursor, MCP-based tooling) and a practical view on where they speed up analytics engineering and where human review is essential. Cloud Technology Knowledge: Strong familiarity with cloud platforms such as AWS or GCP. Data Accuracy Focus: Passion for ensuring high data quality through tests, assertions, evaluations, and robust documentation. Commercial Acumen: Ability to understand business needs and communicate effectively with non-technical stakeholders. Collaboration: Skilled at working cross functionally and translating complex technical concepts into actionable insights for the business. Process-Driven: Proficiency in designing repeatable, scalable workflows for data transformation, including ones that combine automated agents with human oversight. What you'll be doing in the role Building Data Models: Create complex dbt models, custom macros, and reusable packages. Optimize transformations and implement robust testing strategies to ensure data integrity and model performance. Building the Semantic Layer: Design and maintain a semantic layer with well-defined metrics, dimensions, and descriptions so that stakeholders and AI assistants can query company data in natural language and get consistent, accurate answers. Introducing Non-Deterministic Transformations: Build and productionise LLM-powered steps within our pipelines, such as categorizing free text or enriching records, with clear evaluation frameworks, cost and latency monitoring, and fallbacks to keep results trustworthy. Developing Agentic Workflows: Design and adopt agentic workflows across the analytics engineering lifecycle, including model generation, documentation, test coverage, code review, and incident triage, while defining the guardrails and review processes that keep quality high. Ownership: Monitor and maintain dbt workflow jobs, ensuring smooth data refreshes and up-to-date pipelines. You'll also be responsible for data models powering BI analytics and company-level reporting. Ensuring Data Accuracy: Write tests and assertions to validate data integrity and consistency across models, and build evaluation sets to measure the accuracy of natural language and LLM-driven outputs. Documenting and Standardising: Create and maintain thorough documentation of dbt processes and semantic definitions, treating metadata as a first-class asset since it directly shapes the quality of AI-generated answers. Translating Complex Data Concepts: Act as a key communicator, translating technical data issues into understandable business terms for stakeholders. Mentoring Team Members: Support junior analysts and data engineers, especially in setting up experimentation platforms, adopting AI tooling responsibly, and following data best practices. Collaborating Across Teams: Work closely with product, engineering, and BI teams to ensure data infrastructure supports evolving business needs, including AI-driven products and internal tools. Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation—one that reflects the breadth and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. Links to more information on Prolific Benefits External Handbook Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Company Description We're Checkout.com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we're behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there's a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you've come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech – and we're just getting started. About the Role As an Associate in Strategic Finance, you'll focus on turning financial and commercial data into clear insight - enabling leadership to deeply understand our business and the drivers of performance. You'll partner with Data Engineering, Finance and cross-functional stakeholders, and build analytical workflows to support fast and data-driven decision-making. What You'll Be Doing Analyse commercial and business performance - evaluating the full P&L and measuring ROI in order to help the business assess where it is creating value. Translate ambiguous requests from leadership, Finance and cross-functional stakeholders into clear, decision-ready insights. Craft executive-style deliverables, which may include decks, models, written documents or AI-powered apps. Leverage AI tooling as a force multiplier to build and automate reusable analytical workflows that enable your stakeholders to quickly understand performance. Drive continuous reporting improvements, standardisation, and simplification whilst documenting definitions and limitations - leaving no room for approximation. Collaborate directly with Data Engineering and Data Science to support the development and enhancement of our core financial data models, and the context layer that enables AI agents to leverage that data. You will be empowered to work directly with Finance and Data partners to scope requirements and deliver initiatives end-to-end. What We Look For Essential Criteria You'll have 3+ years of relevant experience in data-driven and analytical roles, and hold a bachelor's or master's degree in a quantitative or business discipline. Strong analytical thinking: you're comfortable working with numbers, identifying the underlying patterns and drawing sound conclusions. Excellent verbal and written communication skills: you have the ability to adjust your style to suit different perspectives and seniority levels. Commercial curiosity: you want to dive into the details to understand how merchant, product, and commercial dynamics affect financial performance. Confidence with data tools: You have strong spreadsheet skills and experience with BI tooling and data platforms, or demonstrate a clear aptitude and willingness to learn. Python and SQL experience is a plus. Exceptional attention to detail: you rigorously validate data, pressure-test assumptions, and transparently communicate analytical limitations. You've used AI hands-on in a business environment to create new tooling or workflows. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you'll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It's a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you're ready to grow and make a difference, you'll be right at home here. It's important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it's like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com , follow us on LinkedIn and Instagram Find more English Speaking Jobs in United Kingdom on Arbeitnow