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Note: The listed salary range is based on the salary range for the Netherlands. Salary ranges may vary by location. About the Role As a Senior Quality Engineer – Tellent Intelligence (AI) , you'll own and grow the quality of the AI-powered experiences built by our Tellent Intelligence team alongside our existing QE team. You'll help shape how we test applications powered by large language models (LLMs) and AI agents, ensuring they are reliable, safe, and deliver high-quality experiences for our customers. You'll expand our end-to-end test coverage in Playwright and help build robust approaches for validating AI-powered systems, where quality extends beyond functional correctness. This is a hands-on, collaborative role with genuine ownership, direct impact on product development, and the opportunity to shape how we test AI at Tellent. Your 12-Month Journey During your first 3 months: You'll get to know our Tellent Intelligence domain, engineering practices, AI-powered features, and quality standards. You'll learn our testing framework and development workflow while contributing to automated, exploratory, and AI-focused testing. Within 6 months: You'll take ownership of quality across key AI-powered features, expand our Playwright test coverage, and work closely with engineers to validate AI behaviour, prompts, and model-driven functionality throughout development. After 1 year: You'll be a trusted quality partner within the Tellent Intelligence team, driving improvements to our AI testing strategy, strengthening our automation framework, and helping shape how we build reliable, safe, and responsible AI experiences across Tellent. What You'll Be Doing Work closely with fellow Quality Engineers to bring our test automation strategy to life across the Tellent Intelligence domain, taking shared ownership and continuously improving it as our platform evolves. Partner with developers, AI engineers, and fellow QEs to embed quality early in the development process, sharing knowledge and shaping testing practices collaboratively. Design and execute comprehensive test plans, test cases, and automated test suites across frontend, backend, and AI-powered functionality. Develop into a product domain expert, using your understanding to identify risks early and guide quality decisions across the Tellent Intelligence domain. Design and execute testing strategies for AI-powered features, validating not only functional correctness but also the quality, relevance, consistency, and safety of AI-generated outputs. Develop approaches for testing non-deterministic systems by creating evaluation datasets, defining quality benchmarks, and identifying hallucinations, bias, regressions, and prompt-related issues as models and prompts evolve. Partner with engineers to validate prompt changes, AI agent behaviour, and safety guardrails, ensuring our AI behaves reliably and responsibly before reaching customers. Continuously improve how we evaluate AI quality by helping establish best practices, quality metrics, and testing frameworks for LLM-powered applications. What You Bring Strong QA experience: Several years of hands-on quality engineering, with senior-level ownership of testing for complex web applications. AI quality mindset: Experience testing AI-powered applications, LLM-based products, conversational AI, or machine learning systems is a strong plus. If you haven't worked directly with AI before, you're excited to learn and apply quality engineering principles to this rapidly evolving space. E2E automation: Experience building and maintaining end-to-end test suites in Playwright. API & backend testing skills: Experience testing APIs and backend services. Balance of product and technical thinking: Equally at home discussing product behaviour and digging into technical detail. Understanding of AI testing challenges: Familiarity with concepts such as prompt engineering, AI agents, hallucinations, model bias, evaluation datasets, and AI safety principles is a plus. Analytical mindset: Comfortable defining quality expectations for systems where outputs may vary while still delivering a great user experience. Communication: Fluent English for daily collaboration. Polish is a plus. What We Offer Hybrid or remote working setup across Amsterdam, the Cologne area, or Poland A chance to shape one of the most ambitious scale-ups in Europe and lead a company-defining tech transition. Work in a diverse, multicultural, and remote-friendly team. €1,500 annual training budget + 2 dedicated learning days Pension plan, travel reimbursement, and wellness perks. 28 paid holiday days + 2 additional days to relax. Work from anywhere for 4 weeks/year. Apple MacBook and top-tier tooling. €200 home office budget. Please note: Benefits may differ based on your employment location. About Tellent Tellent is a leading Talent Management Suite designed to empower HR & People teams across the entire employee journey. Our all-in-one platform combines an Applicant Tracking System ( Tellent Recruitee ), an intuitive HRIS ( Tellent HR ), and powerful Performance Management software ( Tellent Grow ). With 250+ team members globally, 7,000+ customers in 100+ countries, and a growing ecosystem of 500+ partners, we help organizations attract, grow, and retain top talent — and we're just getting started. AI in our recruitment process We use our internally developed AI tools to help streamline our recruitment process. However, technology never makes a decision. Every candidate is personally reviewed by our team. Your journey with us is guided by people, supported by tech. Curious about how it works? Read our AI Statement , check our Privacy Policy , or chat with us at If you require accommodations or support during the recruitment process, please let us know — we're happy to help. Find more English Speaking Jobs in Netherlands on Arbeitnow

Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence. Role We are looking for a hands-on Machine Learning Engineer to develop and productionize modern computer vision and visual language capabilities across major intelligence and public safety projects. You will work directly with state-of-the-art and open-source computer vision models, visual language models (VLMs), and related AI technologies — training, evaluating, fine-tuning, and optimizing them for real-world use cases. You will work on challenging problems including object recognition and identification, image and document understanding, geospatial data, satellite imagery, and large-scale visual data. The role combines model development with practical engineering: building data pipelines and scrapers, running experiments, and taking promising approaches into reliable systems. This is a highly hands-on role for someone with exceptional learning ability, strong analytical and engineering skills, and a genuine interest in applying AI to complex problems in the intelligence and public safety domain. You will work closely with other engineers, technical leadership, and cross-functional teams to turn ideas and experiments into impactful capabilities. What you'll do Develop, train, evaluate, and fine-tune computer vision and visual language models. Work on object recognition, detection, classification, and identification. Build data pipelines, scrapers, and workflows for large-scale visual and geospatial datasets. Experiment with state-of-the-art and open-source models and turn promising approaches into reliable systems. Work with satellite imagery, geospatial data, sensors, and other visual intelligence sources. Take ownership of experimental projects and rapidly explore new ideas and technologies. Collaborate closely with other engineers and technical leadership on key initiatives. Travel every 2–4 weeks for architecture reviews and team events. About you Bachelor's degree or higher in Computer Science, Physics, Mathematics, or a related field; with excellent grade record from a leading university (Master's preferred). Strong academic record and excellent analytical and problem-solving skills. Strong programming skills and experience developing or fine-tuning AI/ML models. Experience with computer vision, VLMs, image understanding, or related ML applications. Strong interest in data, analytics, and data pipelines. Exceptional ability and motivation to learn new technologies and domains quickly. Self-directed, hands-on, and comfortable working without close day-to-day management. Strong team player with clear and honest communication. Excellent German language skills. Eligible to work full-time in Germany and willing to undergo the required security clearance and background checks. Nice-to-haves Experience with georeferencing, satellite imagery, remote sensing, OpenStreetMap, or photogrammetry. Experience with large-scale data pipelines, cloud infrastructure, or ML deployment. Experience with sensors such as drones, antennas, or cameras. Background in computer vision research, e.g. Fraunhofer IGD or similar. Knowledge of Russian or Ukrainian language. Interest or experience in military, intelligence, defense, or public safety domains. What we offer Remote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations. Flexibility by default: Flexible working hours help you make work fit your life. Your setup, your way: Get a personal home-office equipment budget to create a workspace that works for you. 30 days of vacation: Take the time you need to recharge and come back with fresh energy. Keep growing: We invest in your personal and professional development. Get rewarded for impact: Performance bonuses are tied to agreed objectives and key results. A warm welcome: Every new team member gets a welcome goodie bag. Good people, good times: From summer and Christmas parties to regular team gatherings, we make time to celebrate together. A mission that matters: Work on challenges with tangible impact on public safety and national security. Find more English Speaking Jobs in Germany on Arbeitnow

Behind every optimisation decision is data. As a FinOps Data Analyst & Consultant at Cortex Reply, you'll transform millions of billing line items into forecasts, dashboards, and insights that executives can act on - across cloud, AI, SaaS, and on-prem environments. This is an analytical consulting role at the intersection of data science, financial modelling, and business intelligence. You'll build cost models, design KPI frameworks, and deliver the transparency that makes technology spend predictable and optimisable. Your tasks Data Analysis & Cost Investigation Analyse commitment usage, reservation coverage, and cost trends across cloud, AI/ML, SaaS, and on-prem Derive optimisation recommendations incorporating discounts, rightsizing and usage anomalies Forecasting & Predictive Modelling Perform spend forecasts and variance analyses to prevent budget surprises Validate cloud-native forecasting tools and contribute to internal ML-based forecast models Reporting, Visualisation & KPIs Design dashboards and reports for technical and executive audiences Define FinOps KPIs and integrate them into live reporting systems aligned with business goals Automation & Scaling Automate reporting, alerting, and data pipelines (PowerAutomate, Python, SQL) Streamline workflows and scale analytics capabilities across clients Cost Allocation & Transparency Drive tagging strategies, taxonomy design, and showback/chargeback models Combine technical and business metrics for full-picture cost transparency Thought Leadership Develop FinOps blueprints and playbooks Contribute trainings, talks, and publications Expand offerings into FinOps for AI, FinOps for SaaS, or sustainability tracking Client Advisory & Consulting Engage directly with client stakeholders to understand business context, translate analytical findings into strategic recommendations, and present results in workshops and steering committees Support proposal development, scoping of new engagements, and client relationship management as a trusted advisor on data-driven cost decisions What We Offer Competitive compensation Professional development through challenging projects and training opportunities A diverse, international team with a strong knowledge-sharing culture Opportunities for thought leadership: conferences, publications, certifications A collaborative, supportive team environment Degree in Data Analytics, Finance, Business Administration, Informatics, IT Management, or related field Proficiency in English and German (min. B2 each) Residence in Germany with work eligibility Willingness to travel occasionally Strong analytical skills with focus on financial data interpretation Excellent communication and presentation skills Understanding of agile frameworks and consulting/project management experience Experience with at least one major cloud provider (AWS, Azure, or GCP) Experience with SQL, Python, or R for data analysis and automation Experience with BI tools (Power BI, Apptio BI / TBM Studio, or Tableau) Excel & PowerQuery proficiency Understanding of cloud billing data structures (AWS CUR, Azure Cost Export, GCP BigQuery billing) Proactive, self-organised mindset Nice to Have Cloud certifications or FinOps Practitioner certification Familiarity with cloud cost management tools (e.g. Cloudability, Flexera, Kubecost, Infracost) Exposure to ML frameworks or cloud-native forecasting tools Experience with SaaS management, on-prem licence optimisation, or AI cost management Interest in community building, public speaking, or content creation Here you can find more information about Cortex Reply and how we process your data . Find more English Speaking Jobs in Germany on Arbeitnow

We are looking for a Computer Vision and Machine Learning (CV/ML) Engineer to develop and deploy intelligent perception systems for our autonomous drone-in-a-box platform. You will work on challenging real-world computer vision problems, from real-time object detection and tracking on embedded devices to advanced scene understanding and cloud-based inference. As part of a small, technical team, you will own solutions across our software stack, taking algorithms and models from prototype to deployment. This position is for an on-site employee for our Zurich office. Responsibilities Design and develop a wide variety of computer vision and machine learning features for real-time unmanned aerial vehicle (UAV) applications Train, fine-tune and evaluate deep learning models for tasks such as object detection, instance segmentation, image retrieval/reidentification Optimize algorithms and models for edge devices (NVIDIA Jetson and Qualcomm Dragonwing), and integrate them into our image and video processing pipelines Monitor ML model performance in real-world deployments and set up workflows for continuous improvement (data collection, curation, labeling, retraining, evaluation) Evaluate and integrate large/vision language models for scene understanding, situational awareness, and hazard analysis, including prompt design, performance benchmarking, and production deployment Qualifications Degree in Computer Science, Robotics Engineering, Electrical Engineering, or a related field (or equivalent practical experience) Solid understanding of computer vision and machine learning fundamentals Strong programming skills in Python and C++, with experience developing production-grade software that powers CV/ML systems Experience with PyTorch or TensorFlow, ONNX, TensorRT, CUDA Experience with end-to-end model development: from dataset curation, labeling strategies, active learning workflows to deployment and optimization for edge devices Excellent oral and written skills in English Work permit in Switzerland required Bonus Points Good understanding of 3D vision and robotics perception, along with hands-on experience with OpenCV and ROS/ROS2, is a strong plus Experience with NVIDIA Jetson and Qualcomm edge devices, and their CV/ML SDKs Experience with transformers, large/vision language models and prompt design for perception tasks Experience with GStreamer pipelines and custom plugin development Experience with AI-assisted development tools and coding agents (e.g., Claude Code, Codex, Cursor) in a professional setup to accelerate implementation, debugging, testing, and review 100% · On-site Find Jobs in Switzerland on Arbeitnow

We Want You to Grow With Us Intersnack is building a next-generation AI and data foundation and this role is at the heart of making that foundation meaningful for the people who rely on it every day. As our AI Engineer for Analytics & End-User Insights, you will bridge the gap between enterprise data architecture and the business users who depend on trustworthy, actionable intelligence to make decisions. You will report into the AI Programme and collaborate across procurement, manufacturing, and sales to deliver AI-powered reporting that business teams can understand, trust, and act on. What We Can Offer You will join a collaborative, internationally minded team building something genuinely new: a modern, AI-grounded analytics capability that complements existing reporting and serves real business decisions. This role offers significant autonomy to shape how AI is introduced into the daily workflows of colleagues across multiple functions and countries. The impact of your work will be visible and measurable, from the moment a business user receives an AI-generated insight they trust, to the gradual reduction of manual reporting steps that once dominated their week. Dusseldorf serves as your home base, with flexibility for remote working, and the broader Intersnack network gives you exposure to a truly international operating environment. How You Will Spend Your Time as Our Next AI Engineer - Analytics & End-User Insights You will operate at the intersection of data engineering, AI, and business enablement: designing the data supply chain and semantic infrastructure that makes AI-driven analytics possible, while ensuring that the people who consume those analytics are equipped to use them with confidence. Your focus spans architecture and adoption in equal measure, working closely with business stakeholders to define what good looks like and then building the pipelines and models to get there. What You Will Do Design and implement decoupled data supply chains, spanning landing zones, quality and transformation layers, and consumption layers, to ensure consistently high-quality data reaches analytics and AI systems Implement and document business KPIs as defined by business stakeholders, ensuring full metric traceability; define, implement, and document technical KPIs for AI application performance in collaboration with the data architect, ensuring explainability and observability across all AI-driven outputs Build and maintain a semantic layer that enables AI-based insight generation, bridging structured data assets with natural-language querying and large language model (LLM) integration Lead the expansion of existing BI reporting with AI-supported, RAG-driven analytics, progressively complementing manual report runs with dynamic, contextual insight delivery Develop and maintain data models, transformations, and pipelines using industry-standard tooling, complementing existing data infrastructure and ensuring data quality, lineage, and observability throughout Expose data assets and AI services via well-designed APIs, supporting consumption by both technical and non-technical consumers Act as a frontline coach and enabler for business users and citizen analysts, building AI and data literacy across the organisation and supporting adoption of AI-assisted workflows Embed security-by-design principles into all analytics and AI assets, including protections against prompt injection, data leakage, and model misuse Collaborate across IT, data, security, and business functions to ensure analytics outputs are governed, compliant with EU AI Act and GDPR requirements, and aligned to Intersnack's data sovereignty standards Essential Skills & Experience Proven experience designing and implementing multi-layer data architectures, including landing zones, transformation layers, and consumption layers Strong proficiency in SQL and at least one scripting or transformation language (e.g., Python, dbt) for data modelling and pipeline development Hands-on experience with prompt engineering, vector stores, and RAG patterns, including the ability to build semantic layers and design LLM-integrated workflows using frameworks such as LangChain or LangGraph Experience with BI and analytics platforms (e.g., Qlik, Power BI, or equivalent) and a clear understanding of how to complement existing reporting with AI-assisted delivery Working knowledge of Microsoft Azure and/or AWS data and AI services (e.g., Azure Data Factory, Azure ML, AWS Glue, SageMaker, or equivalent) Demonstrated ability to engage with and understand non-technical business users, translating AI and data concepts into business language with clarity and confidence Solid understanding of AI security fundamentals, including risks such as prompt injection, data leakage, and chain-reaction errors in AI pipelines Awareness of relevant regulatory frameworks, including GDPR, the EU AI Act, and data sovereignty principles applicable in the EU context A strong command of spoken and written English is required; knowledge of German is considered an advantage Valuable Experience Familiarity with Microsoft Fabric, Azure Purview, or OneLake for unified data governance and discovery, and with Microsoft Foundry for building and deploying LLM-integrated workflows and AI applications Experience in FMCG, manufacturing, or procurement environments, with an understanding of the data and reporting challenges specific to these domains Knowledge of Responsible AI principles and practical application of AI ethics frameworks Important: Please note that a valid work and residence permit is required for non-EU applicants for this position. About Intersnack IT Intersnack IT KG is a member of the Pfeifer & Langen Industrie- und Handels-KG's group of companies and a sister company to Intersnack Group. Established from the international harmonization and centralization of Intersnack Group's IT estate, we are responsible for all group-wide IT services for and within Intersnack Group. It's our target to provide the common IT infrastructure, aligned IT services and business solutions according to Intersnack's requirements. Based on a solid digital foundation, Intersnack IT KG acts as a partner to all Intersnack functions, actively contributing to Intersnack's business strategy. Explore exciting career opportunities and learn more by visiting our website at Intersnack IT KG About Intersnack Group Intersnack has become one of Europe's leading savory snacks producers by 'creating happy snacking moments' in people's lives. Being privately owned, we operate with a long-term view and commit ourselves to a more sustainable world. Successfully and sustainably growing, our turnover in 2024 was more than €4.5 bn. We are now present in more than 30 countries across Europe and beyond. We have 12 regional Management Units, 45 production sites, and a total workforce of approximately 15,000 people worldwide. For further company insights, please visit the following link: Intersnack Group Overview If you want to become part of our dynamic food industry success story, you'll find all sorts of opportunities at Intersnack. Join our team and help us to grow and celebrate our successes together! Find more English Speaking Jobs in Germany on Arbeitnow

We Want You to Grow With Us High-quality, reliable data is the foundation on which every AI use case is built, and this role is responsible for making that foundation unshakeable. As our Data Engineer for AI Pipelines & DataOps, you will design and deliver the ingestion pipelines, streaming architectures, and APIs that feed Intersnack's AI and analytics systems with the data they need to perform at scale. You will report into the AI Programme and work in close collaboration with AI engineers, data architects, and business teams, with a particular focus on manufacturing environments, where edge device data presents unique ingestion challenges. At Intersnack, we build on a solid digital foundation, and your engineering work will be central to extending that foundation into the AI era. What We Can Offer This role offers the opportunity to work across a genuinely diverse data landscape, from manufacturing edge devices and IoT sensors to structured enterprise data systems across procurement and sales, giving you breadth of technical challenge that few data engineering roles can match. You will have direct influence over how AI and analytics use cases are enabled across a 4.5bn euro business, with the autonomy to define pipeline patterns, API standards, and DataOps practices that others will build on. Collaboration is at the heart of how we work, and you will be embedded in a programme team that spans data science, AI architecture, and business enablement. Dusseldorf is the home base, with flexibility for remote working. How You Will Spend Your Time as Our Next Data Engineer - AI Pipelines & DataOps You will design and build the data infrastructure that powers Intersnack's AI programme, from scalable ingestion pipelines that handle both structured enterprise data and unstructured signals from manufacturing environments, to the APIs that expose data, models, and AI services for consumption across the organisation. Your work will span architecture, implementation, and operations, with a strong focus on quality, observability, and continuous improvement. What You Will Do Design and implement scalable data ingestion pipelines for structured and unstructured data sources, including manufacturing systems, edge devices, and enterprise data platforms, ensuring consistent data quality from source to consumption Build and maintain both batch and streaming data pipelines for analytics and AI use cases, leveraging cloud-native tooling on Microsoft Azure and/or AWS Design and expose REST or GraphQL APIs for data assets, machine learning model endpoints, and AI services, enabling reliable, governed consumption by internal applications and analytical systems Implement CI/CD practices and DataOps principles across pipeline development and deployment, supporting automated testing, versioning, and release management for data infrastructure Ensure data quality, lineage, and observability across all pipelines, implementing monitoring and alerting that surfaces data issues before they affect AI or analytics outputs Support the integration of manufacturing and edge device data, including IoT and OT systems, into the central data platform, addressing the specific latency, format, and volume challenges of operational technology environments Collaborate with data scientists and AI engineers to design and optimise data flows that support model training, inference, and knowledge retrieval pipelines Apply security-by-design practices to all pipeline and API design, including access control, encryption, and protections against data leakage, in line with Intersnack's sovereignty and compliance standards Contribute to the AI literacy and enablement programme by supporting colleagues in understanding data pipeline health, data quality standards, and the role of reliable data in AI outcomes Essential Skills & Experience Proven experience designing and implementing production-grade data pipelines using cloud-native services on Microsoft Azure (e.g., Azure Data Factory, Azure Event Hubs, Databricks) and/or AWS (e.g., AWS Glue, Kinesis, Lake Formation) Strong proficiency in at least one pipeline or transformation framework (e.g., Apache Spark, dbt, Apache Kafka, or equivalent) and a scripting language such as Python or Scala Solid hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, Cosmos DB, MongoDB, or equivalent), including data modelling and query optimisation for both transactional and analytical workloads Experience building and maintaining streaming and batch pipelines for analytics and AI applications, with an understanding of trade-offs between the two approaches Ability to design and implement REST or GraphQL APIs for data and model serving, with an understanding of API versioning, documentation, and governance Familiarity with DataOps and CI/CD practices as applied to data engineering, including automated testing, pipeline orchestration, and infrastructure-as-code Experience with data quality tooling, lineage tracking, and observability frameworks (e.g., Great Expectations, OpenLineage, or equivalent) Working knowledge of AI and data security fundamentals, including data access controls, encryption, and risks such as data exfiltration in pipeline contexts Awareness of GDPR, EU AI Act, and EU data sovereignty requirements and their implications for data infrastructure design A strong command of spoken and written English is required; knowledge of German is considered an advantage Valuable Experience Experience working with manufacturing or operational technology (OT) data environments, including IoT/edge device data ingestion and time-series data handling Familiarity with Microsoft Fabric, OneLake, or Azure Purview for unified data platform management Exposure to MLOps practices, including data versioning, feature stores, or model monitoring pipelines Experience with Terraform or other infrastructure-as-code tooling for scalable, repeatable data infrastructure deployment Background in FMCG, manufacturing, or supply chain, providing context for the operational data challenges typical in these environments Important: Please note that a valid work and residence permit is required for non-EU applicants for this position. About Intersnack IT Intersnack IT KG is a member of the Pfeifer & Langen Industrie- und Handels-KG's group of companies and a sister company to Intersnack Group. Established from the international harmonization and centralization of Intersnack Group's IT estate, we are responsible for all group-wide IT services for and within Intersnack Group. It's our target to provide the common IT infrastructure, aligned IT services and business solutions according to Intersnack's requirements. Based on a solid digital foundation, Intersnack IT KG acts as a partner to all Intersnack functions, actively contributing to Intersnack's business strategy. Explore exciting career opportunities and learn more by visiting our website at Intersnack IT KG About Intersnack Group Intersnack has become one of Europe's leading savory snacks producers by 'creating happy snacking moments' in people's lives. Being privately owned, we operate with a long-term view and commit ourselves to a more sustainable world. Successfully and sustainably growing, our turnover in 2024 was more than €4.5 bn. We are now present in more than 30 countries across Europe and beyond. We have 12 regional Management Units, 45 production sites, and a total workforce of approximately 15,000 people worldwide. For further company insights, please visit the following link: Intersnack Group Overview If you want to become part of our dynamic food industry success story, you'll find all sorts of opportunities at Intersnack. Join our team and help us to grow and celebrate our successes together! Find more English Speaking Jobs in Germany on Arbeitnow

At Statista , we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions. Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team. Are you ready to join us? About the role Join a growing data team and take ownership of our tracking data infrastructure, which captures millions of user events across our web platform every day. You will focus on operating, improving, and scaling existing data systems, ensuring data is reliable, cost-efficient, and accessible for analytics teams. This is a hands-on role with strong ownership and visibility across engineering and analytics. What you'll do Own and manage tracking data pipelines and infrastructure (event data, web tracking) Ensure data quality, governance, and cost control (e.g. retention, storage optimization) Build and optimize ELT pipelines using Python and SQL Improve data ingestion and orchestration (Airflow, Prefect, APIs, S3, Iceberg, databases) Support the shift toward streaming and modern analytics use cases Collaborate with engineering teams (data producers) and analytics teams (data consumers) Enable internal users by making data reliable, well-documented, and easy to use Your profile Experience in data engineering within cloud environments (AWS preferred) Strong skills in Python and SQL Hands-on experience with data pipelines, orchestration tools (Airflow, Prefect), and APIs Familiarity with large-scale data systems and event-based data (tracking, logs, or similar) Experience with Snowflake (or similar DWH) Knowledge of infrastructure as code (Terraform) and CI/CD (GitHub Actions) Understanding of data architecture, testing, and best practices Bonus: experience with DBT, streaming tools, or BI tools What success looks like You take ownership of a high-volume data domain and keep it stable and scalable You improve data reliability, usability, and cost efficiency You collaborate effectively with both technical and non-technical stakeholders You bring structure to evolving systems while staying flexible in a dynamic environment What we offer In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from: Work from abroad up to 30 calendar days a year Hybrid work and flex-time International team and social events Subsidized urban mobility and access to fitness and wellness options Free access to Langdock and all its amazing functionalities Career & training opportunities Attractive locations and modern offices Mental health support with OpenUp Some of the benefits listed here apply only to the German entity and to Junior-level roles or above. Find more English Speaking Jobs in Germany on Arbeitnow

Shape the Future of Data-Driven Decision Making as our Data Scientist (m/f/d) At Limehome, data is one of our biggest competitive advantages. As a Data Scientist, you'll turn complex business challenges into scalable statistical and machine learning solutions that help us make smarter decisions across pricing, operations, product, and beyond. Working closely with Revenue Management, Product, Engineering, Business Intelligence, and other stakeholders, you'll combine advanced statistical thinking with commercial acumen to create measurable business impact while continuously raising the bar for data-driven decision-making. How you'll be hosting with heart: Design, develop, and continuously improve our core pricing algorithms—our highest-impact analytical products—to maximize revenue, occupancy, and long-term profitability. Design, develop, and evaluate advanced statistical models and machine learning algorithms to solve complex business challenges and enable smarter decision-making. Apply rigorous statistical methodologies to quantify uncertainty, estimate business impact, and generate reliable recommendations for decision-making. Design experiments and define evaluation frameworks to measure the effectiveness of new products, pricing strategies, and business initiatives. Analyze large and complex datasets to uncover opportunities for growth, operational improvements, and enhanced customer experience. Partner with Revenue Management, Product, Engineering, and BI to translate business questions into scalable analytical solutions and collaborate with Data Engineering to productionize, deploy, and monitor machine learning models. Stay at the forefront of AI, ML, and decision science to elevate our analytical capabilities, while clearly communicating complex findings to both technical and non-technical audiences. What you need to shoot for the stars: Degree in Data Science, Statistics, Mathematics, Computer Science, or a quantitative field combined with 3+ years of hands-on experience applying machine learning/statistics to real-world business problems. Strong foundation in probability theory, statistical inference, regression analysis, Bayesian statistics, experimentation, causal inference, and predictive modelling. Proven experience developing, validating, and improving machine learning models in business environments. Strong programming and modelling skills in Python and experience with modern data science libraries. Excellent SQL skills and experience working with large analytical datasets. Experience designing experiments and evaluating business initiatives, balancing statistical rigor with pragmatic decision-making to deliver simple, high-value solutions over unnecessary complexity. Strong commercial mindset with a passion for exploring new analytical methods/AI tech and translating complex findings into measurable business recommendations. Fluency in English with excellent communication and stakeholder management skills alongside the ability to explain complex concepts to audiences with varying technical backgrounds. We're designed to stay because: Hybrid Office Model: We offer a flexible and empowering work environment - you can choose to work 100% from our office or partially from home and the office. Visa & Language Support: We'll support you during your visa process and with learning German on every language level after passing your probation period. Relocation Support : We'll financially support your move to Munich if you live further away than 300km from our office. Oneteam: We are #oneteam with a transparent company culture by staying up to date with each other through team stand-ups, regular All-Hands and suite events (Summer, Wiesn, Christmas). Growth and Development: We make sure that you keep growing - through constant feedback, peer reviews and exchanges with focus on your development. Limitless learning : We offer you the possibility to choose an external development format that will help you in reaching your full potential without any limits in budget. Workation: You have the chance to work twice per year for a duration of up to 4 weeks from a different country in the European Union. Our Limehomies love traveling so we want to give them the chance to work from inspiring new locations regularly. Sabbatical: After your 1.5 years with Limehome we offer the possibility for a 3-month sabbatical. You can use it for whatever you want: may it be traveling, spending time with your besties or volunteering. Everything for our Limehomies : We focus on your physical wellbeing (Urban Sports Club), to your mental wellbeing (Nilo.health), or even staycations in one of our beautiful Limehomes, and many more suite benefits. Join us and find out! 😉 Who we are: Limehome is a leading tech-enabled operator in the hospitality industry offering functional, design accommodations across Europe. Using proprietary technology, Limehome delivers comfortable and convenient stays with a seamless digital guest experience for business and leisure travellers. Our vision is to be the first choice in travel for everyone, everywhere. By now, our portfolio consists of more than 10,000 apartments and hotel rooms under contract across 150 cities in 13 European countries. Find more English Speaking Jobs in Germany on Arbeitnow

We Want You to Grow With Us Data tells stories, and this role is responsible for turning those stories into decisions. As our Data Scientist & ML Engineer, you will develop the predictive, prescriptive, and optimisation models that give Intersnack the analytical foresight to act confidently across procurement, manufacturing, and sales. You will report into the AI Programme and work alongside AI engineers and data engineers to integrate your models into the knowledge and agentic AI frameworks being built across the organisation, combining classical machine learning rigour with the emerging capabilities of large language models and intelligent agents. Intersnack is committed to growing its people as it grows its capabilities, and this role offers a unique vantage point from which to shape how AI reasoning is embedded into a global business. What We Can Offer You will have the opportunity to work across a wide and commercially meaningful range of modelling challenges, from demand forecasting and process optimisation in manufacturing, to procurement analytics and scenario modelling, with direct access to the business stakeholders whose decisions your models will inform. This is not a role where models sit in notebooks; your work will be operationalised, monitored, and iterated upon in production environments. You will collaborate with AI architects and engineers to integrate predictive logic into agentic workflows, giving your models a reach and impact that scales beyond individual use cases. Dusseldorf is your home base, with flexibility for remote working, and Intersnack's international footprint ensures your models will operate at genuine scale. How You Will Spend Your Time as Our Next Data Scientist & ML Engineer - Predictive Analytics & Agentic AI You will divide your time between developing new models and improving existing ones, integrating machine learning outputs into agentic and analytical systems, and actively enabling business stakeholders to understand and trust what those models produce. Your work connects the technical rigour of statistical modelling and ML engineering with the commercial intent of a business that wants AI to create real, measurable value. What You Will Do Develop, validate, and deploy predictive, prescriptive, and optimisation models for core business domains including procurement, manufacturing, and sales, translating data into actionable foresight and recommendations Build, fine-tune, and adapt large language models (LLMs) and specialised language models for business-specific NLP tasks, including analysis of unstructured operational data Design and implement simulation and scenario-modelling frameworks that enable business teams to explore trade-offs and plan under uncertainty Integrate machine learning and predictive logic into agentic AI workflows, combining model outputs with agent reasoning to support automated and semi-automated decision-making Own the full ML lifecycle for your models, from feature engineering and training through to deployment, versioning, and ongoing monitoring, applying MLOps best practices throughout Apply NLP techniques to unstructured business data, extracting structured signals from documents, communications, and operational records to support analytics and AI use cases Communicate model outputs, limitations, confidence levels, and underlying assumptions clearly to business stakeholders, fostering understanding, trust, and appropriate adoption of AI-generated insights Embed security and governance considerations into model design, including protections against prompt injection, data leakage, and adversarial inputs, in line with Intersnack's AI security standards Support colleagues in developing AI and data literacy, actively contributing to the cultural change programme that accompanies Intersnack's broader AI adoption journey Essential Skills & Experience Demonstrated experience developing and deploying predictive and prescriptive machine learning models in large-scale production environments, with a strong foundation in statistical modelling and model evaluation Hands-on experience with large language models (LLMs), including prompt engineering, fine-tuning, and domain adaptation for business NLP and unstructured data tasks such as classification, entity extraction, summarisation, and embedding-based retrieval Proficiency in Python and relevant ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or equivalent), including experience with experiment tracking and model versioning tools Experience with feature engineering, feature stores, or data preparation pipelines for model training and serving Solid understanding of MLOps practices, including model deployment, monitoring, and lifecycle management in cloud environments (Microsoft Azure ML, AWS SageMaker, or equivalent) Practical experience integrating machine learning outputs into agentic AI workflows, combining model reasoning with agent orchestration frameworks for automated or semi-automated decision-making Familiarity with simulation and scenario-modelling techniques, enabling business teams to explore trade-offs and plan under uncertainty Clear and confident communication of model behaviour, limitations, and outcomes to non-technical business stakeholders, fostering understanding and appropriate adoption of AI-generated insights Awareness of AI security risks, including prompt injection, data leakage, and adversarial attacks, with experience applying mitigations in model or system design Understanding of GDPR, the EU AI Act, and Responsible AI principles, with the ability to apply them to model selection, training data governance, and deployment decisions A strong command of spoken and written English is required; knowledge of German is considered an advantage Valuable Experience Experience in FMCG, manufacturing, supply chain, or procurement analytics, with familiarity with the data patterns and modelling challenges common in these domains Exposure to agentic AI frameworks and integration of ML model outputs into multi-agent orchestration systems Experience with optimisation techniques (e.g., linear programming, constraint optimisation, simulation) applicable to supply chain or operational planning Familiarity with Microsoft Azure ML, Azure AI Foundry, or AWS SageMaker for end-to-end model development and deployment Important: Please note that a valid work and residence permit is required for non-EU applicants for this position. About Intersnack IT Intersnack IT KG is a member of the Pfeifer & Langen Industrie- und Handels-KG's group of companies and a sister company to Intersnack Group. Established from the international harmonization and centralization of Intersnack Group's IT estate, we are responsible for all group-wide IT services for and within Intersnack Group. It's our target to provide the common IT infrastructure, aligned IT services and business solutions according to Intersnack's requirements. Based on a solid digital foundation, Intersnack IT KG acts as a partner to all Intersnack functions, actively contributing to Intersnack's business strategy. Explore exciting career opportunities and learn more by visiting our website at Intersnack IT KG About Intersnack Group Intersnack has become one of Europe's leading savory snacks producers by 'creating happy snacking moments' in people's lives. Being privately owned, we operate with a long-term view and commit ourselves to a more sustainable world. Successfully and sustainably growing, our turnover in 2024 was more than €4.5 bn. We are now present in more than 30 countries across Europe and beyond. We have 12 regional Management Units, 45 production sites, and a total workforce of approximately 15,000 people worldwide. For further company insights, please visit the following link: Intersnack Group Overview If you want to become part of our dynamic food industry success story, you'll find all sorts of opportunities at Intersnack. Join our team and help us to grow and celebrate our successes together! Find Jobs in Germany on Arbeitnow

Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence. Role We are looking for a hands-on ML Engineer to build and productionize modern AI capabilities across text, vision, audio, and other applied ML use cases. You will work directly with state-of-the-art and open-source models — testing, evaluating, optimizing, and fine-tuning them for real product use cases. This is not a role focused on training foundation models from scratch or building data pipelines only. You will work closely with Research, Product, and Data Engineering teams to take promising models and ideas from experimentation to reliable, production-ready systems. What you'll do Evaluate, compare and integrate open-source models for concrete product and customer use cases. Build and improve LLM-based applications. Extend and improve AI and ML models using inference optimization, evaluation, and fine-tuning where appropriate. Work with NLP, translation, speech-to-text / ASR, image and document understanding, and related applied AI models. Design evaluation frameworks covering model quality, latency, reliability, and cost. Take models from experimentation into production, including packaging, deployment, monitoring, and iteration. Optimize inference performance and operational cost. Collaborate with Research and Product teams to turn prototypes and experiments into scalable product capabilities. Contribute to modern ML infrastructure and MLOps while remaining hands-on with models and model behaviour. About you 4+ years of experience in Machine Learning Engineering, Applied AI, or a similar hands-on ML role. Strong Python skills and practical experience with modern ML frameworks and libraries such as PyTorch, Transformers, and Hugging Face. Experience working with LLMs, NLP models, speech models, or other modern generative AI systems. Hands-on experience evaluating and experimenting with existing models rather than only building ML infrastructure. Experience with inference engines like vLLM or SGLang, and platforms like NVIDIA Triton or Ollama. Familiarity with fine-tuning, prompting, model evaluation, inference, and deployment. Working understanding of AI model encoding and quantization formats, and the tradeoffs thereof. Strong engineering mindset and ability to turn experiments into reliable, reproducible systems. Eligible to work in Germany; export-control screening required for certain programs. Nice-to-haves Hands-on experience with model serving and production deployment, using technologies such as Kubernetes, KServe, NVIDIA Triton, and/or Ray Serve. Knowledge of inference optimization techniques, including batching, quantization, ONNX, or TensorRT. German language skills (B1+) and/or familiarity with defense or public safety datasets. Exposure to geospatial AI, satellite imagery, or remote sensing. Experience working in constrained or regulated environments with infrastructure, security, or deployment requirements. What we offer Remote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations. Flexibility by default: Flexible working hours help you make work fit your life. Your setup, your way: Get a personal home-office equipment budget to create a workspace that works for you. 30 days of vacation: Take the time you need to recharge and come back with fresh energy. Keep growing: We invest in your personal and professional development. Get rewarded for impact: Performance bonuses are tied to agreed objectives and key results. A warm welcome: Every new team member gets a welcome goodie bag. Good people, good times: From summer and Christmas parties to regular team gatherings, we make time to celebrate together. A mission that matters: Work on challenges with tangible impact on public safety and national security. Find Jobs in Germany on Arbeitnow

YOUR BRILLIANT FUTURE IN TECH IS NOW Welcome to the world of Zoi! We transform manufacturing and retail enterprises through AI-first strategies that deliver measurable business value. We don't just advise: we implement, operate, and scale solutions that turn AI adoption into competitive advantage, We are expanding our European teams in Stuttgart, Cologne , Berlin, Lisbon and Apain. WHAT YOU DO GCP Analytics Mastery: You deep-dive into complex datasets within the Google Cloud Platform, leveraging BigQuery to build high-performance, scalable analytical models that serve as a "single source of truth." Enterprise Synergy: You bridge the gap between legacy ERP ecosystems and modern cloud environments, ensuring seamless data flow, logic consistency, and business-ready schemas. Cross-Functional Leadership: You partner with Data Engineers to ensure end-to-end pipelines are functional and architecturally optimized for cost-efficiency and query speed. WHO YOU ARE Consulting Mindset: You bring a strong background in IT or Management Consulting, thriving in client-facing roles and navigating shifting priorities with professional poise. Professional experience : Min 3 years of experience as a Data Engineer, working in Data modelling, BigQuery, GCP. GCP Subject Matter Expert : You are deeply familiar with the Google Cloud Platform (GCP) ecosystem, specifically BigQuery and its integration with Gemini Enterprise for AI-augmented analytics. Technical Core: You possess expert-level SQL skills and a profound understanding of Cloud Data Warehouse mechanics (partitioning, clustering, and optimization). Communication & Language: Excellent written and spoken English is mandatory. C1-Proficiency in German is highly preferred to lead local client engagements and workshops. Do you like to be surrounded by brilliant minds? Awesome. At Zoi, you become part of our community of tech enthusiasts and develop your full potential. Create fresh ideas and shape the digital transformation of our enterprise customers sustainably. GOOD WORK SHOULD BE REWARDED , which is why we offer various bonus models at our company TIME IS WISDOM , 20 % of your working time is available for experimenting and education SKILL YOURSELF UP, Zoi can only be as good as you are. That's why we value constant training and development BE FREE thanks to our absolutely flexible working hours and work remotely from any of our locations LEVERAGE AI POWER with access to cutting-edge AI technologies, to automate tasks, gain insights, and innovate DEVELOP YOURSELF with our individual certification and training plan FAMILY COMES FIRST , rely on our financial support for childcare REFUEL at our regular free Friday lunch Zoi is an equal opportunity employer, we're committed to helping you do your best work. Our promise is to champion diversity, build an inclusive culture and do our part to create a more equitable professional landscape. Find Jobs in Germany on Arbeitnow

LOBELLIA Conseil et ASTILLIA forment un groupe composé d'une centaine de consultants. LOBELLIA Conseil est un cabinet de conseil et de service spécialisé dans la valorisation de la donnée : Business Intelligence, Big Data et EPM. Elle accompagne ses clients tout au long de leurs projets DATA et EPM, sur les réflexions en amont des projets et sur l'exécution tant en Assistance à Maitrise d'Ouvrage qu'en Maitrise d'Œuvre. LOBELLIA Conseil est partenaire GOLD JEDOX. LOBELLIA Conseil intervient pour des clients grands comptes sur des secteurs variés (finances, industrie, services, secteur public, ).. Celles-ci s articulent depuis les études de cadrage jusqu' à l accompagnement des métiers dans la prise en main des solutions de pilotage et l'implémentation de solutions Data dans des architectures Cloud et/ou on-premise. LOBELLIA Conseil regroupe au sein de ses équipes, des consultants passionnés par la Data de différents profils (Data Architect, Business Analyst Data, Data Analyst, Data Engineer, …). Nos collaborateurs interviennent toujours en équipe dédiée en mode projet chez nos clients. La flexibilité et la réactivité de notre structure à taille humaine alliées à notre expertise forte sur des projets d envergure sont les clefs de la réussite de notre croissance. ASTILLIA est une société qui conçoit et développe des Logiciels spécialisés sur un métier. Elle porte l offre DIGITALE du groupe. LOBELLIA Conseil recherche plus particulièrement des Consultant(e)s AMOA/Product Owner/Business Analyst afin d'intervenir auprès de différents clients grands comptes, dans le but de les accompagner dans leur démarche de transformation data et digitale. Vos missions Nos postes sont très variés. Nous ne recrutons pas pour une mission, nous recrutons un profil ! Notre vision n'est pas tournée vers le court terme, car nous avons à cœur de vous faire grandir aussi bien professionnellement, que personnellement ! Bien évidemment, si vous êtes sur cette offre, c'est que vous souhaitez en savoir plus. Voici donc les travaux que vous pourriez être amené à réaliser : – Animation d'ateliers d'expression de besoin avec les directions Métiers ou IT – Conception de la solution et rédaction de spécifications fonctionnelles – Accompagnement des utilisateurs dans le maquettage de leurs Dashboards (Dataviz) et réalisation de Dashboards en lien étroit avec les métiers, – Gestion du lien entre les besoins métiers et l'équipe de mise en œuvre, – Préparation, organisation et exécution des tests de qualification de l'ensemble de la solution : rédaction des cahiers de recette et support à la recette utilisateur, – Organisation et exécution des actions de conduite de changement – Pilotage et coordination des actions des différents acteurs Projet (MOA et MOE): suivi des actions, consolidation et reporting, suivi des jalons, suivi des développements. Vous interviendrez ainsi sur les différentes phases projet, de conception, développement, validation et déploiement de la solution. Afin d'accompagner le développement de l'agence lyonnaise, vous serez aussi amenés à participer à nos publications et à l'activité commerciale de l'agence. Nous sommes une entreprise à taille humaine qui accompagne activement ses consultants. Vous bénéficierez ainsi de toute l'expertise de LOBELLIA Conseil en termes de conduite et de méthodologie de définition et construction de solutions décisionnelles. Dans ce cadre, vous serez formé et encadré sur l'utilisation de différents outils de Business Intelligence. Vos compétences Nous recherchons des candidats ayant acquis au moins 5 années d'expérience dans un cabinet de conseil ou SSII sur des sujets data, notamment en tant que Data Analyst, Consultant AMOA / Business Analyst. – Diplôme BAC + 5 (école d'ingénieur ou universitaire), vous êtes passionné par la Data et souhaitez progresser dans la maîtrise des outils BI, de Dataviz et dans le pilotage de projet – Vous êtes à l'aise sur les méthodologies projet classiques et agiles et vous possédez une connaissance de l'architecture d'un SI Data (BI, Big Data). – Vous connaissez une solution de Dataviz de type Power BI ou Tableau Software ainsi que SQL – Vous avez un bon esprit d'analyse et de synthèse une très bonne capacité rédactionnelle et relationnelle, – Vous êtes parfaitement à l'aise en anglais. Find more English Speaking Jobs in France on Arbeitnow