Find Your Dream Career

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Support Group As the name Support Group implies, this group is responsible for the core part of the customer experience journey that has got Wolt top-notch ratings in app stores. During the years we've invested a lot in the in-house built support tooling as we believe that it's the only way we can ensure the satisfaction of all of our customers and partners in each of the 25 countries that we operate in. We take huge pride in our customer operations' quality, so on top of building delightful support experiences in our consumer app we also want to proactively identify and solve issues even before our customers and partners even notice something might be wrong. About the Support Analytics Team Our Support Analytics team's main goal is to deliver an amazing Customer, Merchants & Courier support experience while optimizing our operations by providing actionable insights and quantifying the impact of those actions on the overall business. 💡 You'll be part of this team working with top Data Science and Analytics Engineering professionals. What you'll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role. Your job will mainly focus on driving operational efficiency with the Workforce Management (WFM) team and optimizing resource allocation by creating accurate scheduling and intraday forecasts, simplifying forecasting processes, building and supporting KPI dashboards, conducting root cause analysis for SLA improvements, exploring cost optimization opportunities, managing the capacity plan framework, enhancing the WFM data pipeline, and uncovering data-driven insights to refine planning, scheduling, reporting, and intraday management. Our humble expectations Required: 5+ years of experience in a data science or analytics position Experience building forecasting models and time series analysis (Prophet, SARIMA, Holt-Winters or similar) Experience in Cost Analysis and What-if Scenario Analysis Deep knowledge of statistical packages in Python or R Proficiency in writing structured and efficient SQL queries for large data sets Ability to influence and advise senior stakeholders Good to have: Experience using ML for forecasting Experience working with ML engineers/ML platform Building data pipelines using Airflow or similar tools What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics. You have the chance to decide the ways of working: a hybrid, at the office, or remote in Berlin. 💙 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash . Find Jobs in Germany on Arbeitnow

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Support Group As the name Support Group implies, this group is responsible for the core part of the customer experience journey that has got Wolt top-notch ratings in app stores. During the years we've invested a lot in the in-house built support tooling as we believe that it's the only way we can ensure the satisfaction of all of our customers and partners in each of the 25 countries that we operate in. We take huge pride in our customer operations' quality, so on top of building delightful support experiences in our consumer app we also want to proactively identify and solve issues even before our customers and partners even notice something might be wrong. About the Support Analytics Team Our Support Analytics team's main goal is to deliver an amazing Customer, Merchants & Courier support experience while optimizing our operations by providing actionable insights and quantifying the impact of those actions on the overall business. 💡 You'll be part of this team working with top Data Science and Analytics Engineering professionals. What you'll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role. Your job will mainly focus on driving operational efficiency with the Workforce Management (WFM) team and optimizing resource allocation by creating accurate scheduling and intraday forecasts, simplifying forecasting processes, building and supporting KPI dashboards, conducting root cause analysis for SLA improvements, exploring cost optimization opportunities, managing the capacity plan framework, enhancing the WFM data pipeline, and uncovering data-driven insights to refine planning, scheduling, reporting, and intraday management. Our humble expectations Required: 5+ years of experience in a data science or analytics position Experience building forecasting models and time series analysis (Prophet, SARIMA, Holt-Winters or similar) Experience in Cost Analysis and What-if Scenario Analysis Deep knowledge of statistical packages in Python or R Proficiency in writing structured and efficient SQL queries for large data sets Ability to influence and advise senior stakeholders Good to have: Experience using ML for forecasting Experience working with ML engineers/ML platform Building data pipelines using Airflow or similar tools What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics. You have the chance to decide the ways of working: a hybrid, at the office, or remote in Berlin. 💙 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash . Find Jobs in Germany on Arbeitnow

Looking for Qualified Customs Broker with full knowledge in all aspects to customs processes and business. Someone who wishes work for themselves and control their own work day. Work from home or office at Richmond Airport. Will not be the conventional work structure. Think - brokerage owner / partner. Qualifed inquires only will be contacted. Job Types: Full-time, Part-time, Contract, Permanent Pay: $50,000.00-$100,000.00 per year

Hi! We're hipages, an ASX-listed tech company and Australia's #1 digital platform connecting households with trusted home improvement businesses. We're on a mission to transform the home improvement industry to build better lives for everyone. With teams across Australia, New Zealand, the Philippines and Vietnam, we work as one team with a shared purpose. We're proud to be a certified Great Place to Work and WORK180's #1 Employer for Women . At hipages, you'll find real impact, career growth and a workplace where everyone belongs. About the role: This is a 12-month parental leave contract. As a Senior Data Analyst, you'll help the organisation make better decisions with data. You'll work closely with the data team and your insights will feed directly into hipages' commercial strategy. You'll help shape the hipages marketplace as it evolves, using your experience to improve things for our customers. You'll also join a supportive, highly skilled data team whose skills cover everything from engineering to machine learning, where people share what they know and celebrate each other's wins. You'll work with colleagues across the business on reporting, insights and analytics for a range of projects, from channel performance to segmentation. Why join our Data team? 💻 Hybrid working with 2 days WFH, so you can fit work around the rest of your life 🪴 An in-house Talent Development team focused on your personal and career growth 💰 Competitive salary, benefits and perks 🤝 A collaborative culture working with Product, Engineering, Marketing and Commercial teams 🧑‍🏫 Hands-on learning, workshops and mentoring to keep growing your skills ♀️ Women make up 50% of our Data team, so you'll be joining a balanced team where your voice is heard How you'll add value: Build a framework for sharing insights with the business and recommending product improvements Analyse data, trends and results, and explain their business impact to stakeholders Explore the acquisition funnel to find insights and opportunities that grow jobs and tradie numbers Give teams the data they need to shape use cases and requirements Help grow our user base by supporting segmentation strategies for a more personalised customer experience Design, run and measure feature experiments About you: Data analytics experience in an e-commerce or technology company Experience working with enterprise data warehouses A love of data, and the ability to make sense of complex information and tell a clear story with it You can turn findings into business recommendations that people act on Strong communication skills, and you build trusted relationships with stakeholders Advanced SQL (or equivalent) Strong working knowledge of BI tools (e.g. Tableau, Power BI, Looker) Nice to haves: Experience in a marketplace or digital-native organisation Google Analytics and A/B testing for SaaS products Forecasting and statistical modelling Understanding of ETL frameworks and tools dbt or data modelling experience Intermediate Python Databricks or Snowflake Salesforce A tertiary degree in Business Analytics, Statistics, Data Science, Economics, Actuarial Studies or a related field Don't tick every box? Research shows women often hold back from applying unless they meet every requirement. If this role excites you and you meet most of the criteria, we'd love to hear from you. We're happy to talk about flexible arrangements and any adjustments you need during the recruitment process. Life at hipages: We're more than just a workplace. We're a place where you can be yourself, do great work and grow your career. Recognised as a Great Place to Work, our inclusive, supportive culture helps people thrive. You'll use the best tools and tech, with real impact on our products and customers. We invest in your development and lead with coaching, not micromanagement – it's why 85% of our team say their leader is great. And there's more: Diverse, collaborative teams that love solving problems Agile squads, hackathons, off-sites and roadshows Extra leave for birthdays, volunteering, and more Healthy snacks, continental breakfast and fresh fruit Sydney CBD office near Town Hall and Gadigal Stations Tailored growth support, mentoring and stretch projects A vibrant social scene - we work hard and have fun doing it We prioritise Diversity: At hipages, innovation and collaboration thrive in diverse and inclusive teams. We don't expect you to know everything - we care more about who you are as a person, a team member, and a leader. We're proud to be endorsed by WORK180 for supporting women's careers and we value diversity across culture, age, gender identity and sexual orientation. Research shows that men often apply when they meet just 60% of the criteria, while women and minority groups wait until they tick every box. If you think you'd be a great fit - even if you don't meet every requirement - we'd love to hear from you. We're also a Circle Back Initiative Employer, which means we commit to responding to every applicant. #LI-JL1 #LI-Hybrid Find more English Speaking Jobs in United Kingdom on Arbeitnow

In a nutshell As our UX researcher, you will work collaboratively with Data Analysts, Product Owners, and Designers to develop the full user experience of Picnic's products. With an open personality, you're able to empathize with end-users on a weekly basis, whether that's by guiding users through prototypes or investigating a new topic. Half of the week, you initiate, plan and execute hands-on research activities. The other half is used to observe and analyse user behaviour and communicate those insights effectively to various teams and stakeholders. You experiment with research approaches to answer important questions. How can we make in-app customer service more accessible? How do customers decide what to eat? How can we make delivering our groceries safer for our runners? Every week presents new challenges to explore, frame and evaluate. Understanding both the big picture and the details, you examine insights from unique angles to bring a deeper understanding of customer experience and provide testable hypotheses. Tricks of the trade Research: Take ownership of research activities to bring deep level insights Testing & exploring: Provide new hypotheses to test and explore Collaboration: Collaborate with designers and test prototypes on a weekly basis Share insights: Document sessions and present actionable insights to both consumer-facing and employee-facing teams Customer focus: Be the face of Picnic and engage with customers Continuous improvement: Strive for continuous improvement to take our UX team to the next level Your superpowers MSc. degree in a relevant field, such as Industrial Design, Human Computer Interaction Design or Product Design 0-3 years of experience as UX Researcher Strong portfolio showcasing end-to-end product thinking, solving real problems for real people at scale Analytical eye: You're not a data wizard, but you're familiar with Excel and know how to visualise and interpret data Ability to reason on high level about various topics, to quickly understand and discuss both business and technical concepts Excellent communicator: You know how to strike up a conversation with anyone and know how to present insights succinctly Flexibility: Agile approach and ability to learn on the go Creativity: Outside-the box thinking and passion for details Affinity for or previous experience with digital design is a plus Fluency in both Dutch and English Open and available to work on-site fulltime Picnic perks 🥗Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. 🚴🏼‍♂️Health insurance discount & bike plan We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate ✍🏼 Learning & development You'll get ample opportunity to work on yourself at Picnic. We offer personal development through Lepaya courses, Academy trainings, and more. Interested in improving your mental wellbeing? Through OpenUp you get free access to trained psychologists and many courses. All the rest At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well. Find more English Speaking Jobs in Netherlands on Arbeitnow

Education: Bachelor's degree. Work setting: Trucking company. Tasks: Evaluate daily operations . Plan and organize daily operations. Supervise staff. Ensure transport compliance with regulations. Oversee the scheduling and dispatching of vehicles and goods. Organize and maintain inventory. Prepare budget and cost estimates. Monitor progress of delivery schedules. Negotiate offers from suppliers. Inspect to ensure that safe working conditions are maintained. Co-ordinate activities with warehouse and production units. Keep track of shipments. Hire, train and supervise staff. Investigate complaints. Supervision: More than 20 people. Work conditions and physical capabilities: Attention to detail. Work under pressure. Personal suitability: Accurate. Efficient interpersonal skills. Flexibility. Judgement. Organized. Reliability. Team player. Values and ethics. Proactive. Punctuality. Screening questions: Do you have experience working in this field?. Experience: 2 years to less than 3 years.

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Essen, Leipzig, Berlin oder Frankfurt am Main ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Konzeptionierung und Aufbau von Big Data / Analytics / AI Plattformen, inklusive DevOps workflows, IaC, CI/CD, IAM und Monitoring & Alerting Konzeption, Entwicklung und Skalierung von Daten-Pipelines auf verschiedenen Cloud-Architekturen unter Einbezug von Datenqualitätsmaßnahmen sowie der Entwurf und Umsetzung von Datenmodellen Operationalisierung von statistischen und KI-Modellen sowie Ergebnissen der Data Scientists, um diese zur produktiven Nutzung zur Verfügung zu stellen bzw. zu automatisieren Auswahl und Beratung von Kunden zu Vor- und Nachteilen verschiedener Technologie-Stacks, passend zu den Use Cases und dem Umfeld im Unternehmen Übernahme einer führenden Rolle in der Kundenkommunikation und Leitung von Engineering-Projekten mit fachlicher Verantwortung für ein Entwicklerteam und die Projektergebnisse Aufbau von Data Engineering Expertise im Unternehmen z.B. durch das Halten von internen Schulungen, Leiten von internen Projekten und aktive Teilnahme in der Engineering Community Dein Profil Data ist auch in Deiner DNA? Das solltest Du mitbringen: Erfolgreich abgeschlossenes Studium der Informatik, Computer Science, Data Engineering oder einem anderen mathematisch/ naturwissenschaftlichem Feld oder eine vergleichbare Qualifikation Starke Kommunikationsfähigkeit (fließend) auf Deutsch und Englisch sowie Reisebereitschaft im Rahmen einer Consulting Tätigkeit Mindestens 6 Jahre Vollzeit Berufserfahrung als Data Engineer in der Konzeption & Implementierung von Datenplattformen und Data Management Prozessen oder in ähnlichem Berufsfeld Mindestens 5 Jahre praktische Anwendung von gängigen Programmsprachen wie z.B. Python, Scala, SQL und Entwickler Tools wie bspw. GIT Mindestens 4 Jahre Umsetzungserfahrung mit BigData Technologien, insbesondere Spark / Kafka, verteilte Speichersysteme, OpenTable Formate und Cluster-Computing Mindestens 4 Jahre Erfahrung im Umgang mit verschiedensten Cloud Komponenten (Object Storage, Datenbanken, Message Services, ETL / ELT Engines, Security, Scheduling, Operations, Monitoring, etc.) im Bereich AWS / Azure / GCP Erfahrung mit mindestens einer der folgenden Technologien: Databricks / Snowflake / AWS Sagemaker / Azure Synapse / ähnliche Data-Analytics-Plattformen Erfahrung mit IaC Tools wie zum Beispiel Terraform, AWS CDK o.ä. sowie mit gängigen CI/CD Prozessen und Tools Nice to have: Erfahrung mit UNIX Systemen und Netzwerkkonfiguration Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung - ob voll remote oder in einem unserer modern eingerichteten Innenstadtbüros (inkl. Dachterrasse), 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 Manager Find Jobs in Germany on Arbeitnow

About Sony Music Entertainment At Sony Music Entertainment, we fuel the creative journey. We've played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We've nurtured some of music's most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we're committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies. Sony Music is looking for a Senior Product Manager, Data to join our talented product team in our London office and lead the development of a portfolio of shared data products. Our products and teams work with data spanning streaming, fan engagement, social and creator activity, and commerce. As new datasets and requirements emerge, we need to understand what the data contains, establish what it means and make it useful beyond the team or product where it originated. You will own the strategy, roadmap and delivery of a portfolio of shared data products. Working with business stakeholders, source-product owners and data engineering, you will turn business needs into clear requirements, deliver dependable datasets and establish definitions and relationships that can be reused across products. What you'll do: Own the strategy and roadmap for a portfolio of shared data products, with a focus on developing new datasets to meet emerging business needs. Understand needs across teams, identify valuable opportunities and prioritise a portfolio of initiatives that supports artist teams and the wider business. Turn business requests into well-defined data initiatives. Meet the people who produce and use the data, examine source datasets and establish the questions users need to answer, the information required and the measures of success. Define reusable datasets with engineering. Agree on the records, fields, relationships, quality, freshness and access requirements needed for each use case you're defining. Establish clear acceptance criteria and resolve tradeoffs with stakeholders and engineers. Lead delivery and adoption. Maintain a prioritised backlog and work with engineering through implementation, validation, launch and ongoing improvement. Ensure the teams receiving the data can use it to meet the agreed need. Steward shared definitions and data models. Work with domain experts and engineers to establish consistent definitions, identifiers, relationships and metrics. Develop the shared semantic layer through the initiatives you deliver, so concepts such as artists, tracks, markets, campaigns and audiences can be understood consistently across products. Connect datasets to enable new capabilities. Identify where combining data creates value and lead the product work required, including opportunities to relate streaming performance to social activity, campaigns, fan engagement and commerce. Make data discoverable and understandable. Ensure data products have clear documentation, usage examples and known limitations, helping analysts, data scientists and downstream product teams use them confidently. Help develop and apply practical data standards. Partner with leadership, engineering and relevant specialists on quality, ownership, access, lineage and appropriate use. Translate these expectations into requirements for the data products you lead. Agree responsibilities for ongoing use of the data products you deliver. Work with source-product owners and engineering teams to establish how source changes, maintenance, quality issues and communication with users will be handled for those initiatives. Measure adoption and impact. Gather user feedback and evidence of usefulness, track whether the capabilities delivered meet their intended outcomes and use those findings to inform the roadmap. Build stakeholder alignment. Explain priorities and investment decisions, communicate progress and translate technical considerations into clear business implications. You will work closely with our existing Data Platform product and engineering teams, coordinating priorities and dependencies with the platform migration and operational roadmap. You will also partner with source-product PMs and the teams building on the shared data products you deliver. Who you are: You have a track record of leading data products or platform capabilities from discovery and strategy through delivery, adoption and ongoing improvement. You can set a clear product direction and prioritise pragmatically, balancing business value, user needs, technical constraints and dependencies across teams You are comfortable examining source data and working through detailed requirements with business experts, analysts and engineers.. You have experience turning fragmented data and business requirements into reusable datasets, shared capabilities or data products that support multiple use cases. You have a strong understanding of modern data platforms, including Snowflake or comparable cloud data warehouses, and can work effectively with engineers on data ingestion, modelling, pipelines and downstream consumption. You understand semantic layers and shared data definitions, and can work with business and technical partners to establish consistent meaning across products and domains. You can make informed product decisions about data quality, freshness, ownership, access and lineage, with an understanding of privacy and appropriate data use. You are comfortable working across product boundaries, clarifying responsibilities and influencing teams whose roadmaps and priorities may differ. You have strong analytical and organisational skills, with the ability to translate complex problems into clear requirements, priorities and delivery plans. You communicate effectively with technical teams, business stakeholders and executives, creating alignment around both the work and the outcomes it should deliver. You have strong documentation skills and can make data products, definitions and decisions understandable to the teams that depend on them. You focus on whether people can use and rely on the capabilities you deliver, with experience measuring adoption, usefulness and business impact. Bonus Points: Experience working in the music or entertainment industry, particularly with streaming, consumption or artist audience data. Experience with fan engagement, social and creator analytics, marketing campaigns, D2C commerce or customer data platforms. Experience connecting data across platforms through shared identifiers, entity relationships or audience segmentation. Experience building data capabilities that support analytics, marketing intelligence or AI-powered products. Experience with data catalogs, observability tools or business intelligence platforms such as Sigma. Experience managing global or enterprise-scale data products, platform migrations or change management. What we give you: You join a vibrant global community with the opportunity to channel your passion every day. A modern office environment designed for you, empowering you to bring your best. Investment in your professional growth and development enabling you to thrive in our vibrant community. The space to accelerate progress, positively disrupt and create what happens next. We give you the platform to champion positive change, with the opportunity to contribute to our social impact, diversity, equity and inclusion initiatives. We provide an excellent range of benefits like private medical cover, a generous pension scheme, life assurance, income protection, plus loads of music industry perks. There's also time off over winter break. Equal Opportunities As an active part of a culturally and socially diverse society, Sony Music's aim is that our workforce is diverse and inclusive. Sony Music is an equal opportunity employer and supports workforce diversity. We employ, retain, promote and otherwise treat all employees and job applicants according to their merit, qualifications, competence and talent. We apply this policy without regard to any individual's sex, race, religion, origin, age, sexual orientation, marital status, medical condition or disability. Privacy Policy Please click here to read our privacy policy before beginning the application process as you will need to agree to the terms of the policy before submitting your information. Please note that applicants must be at least 18 years of age Find Jobs in United Kingdom 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 more English Speaking Jobs in Germany on Arbeitnow

Join the battery cell data revolution⚡ Location: Chemnitz (onsite preferred, hybrid possible) · Position: Full-time · Start: As soon as possible Who We Are 🌍 Limatica measures what batteries whisper. We turn the tiny voltage noise of battery cells into a quality verdict, far faster than conventional tests, and help cell manufacturers cut scrap. We are a team of twelve in Chemnitz and Munich, spanning data, ML, HPC, hardware and industrialization. Early adopters across Europe and Asia already use our technology. In 2026 we move from pilots to production lines, and our data grows faster than our team. What You'll Do 🔧 Our measurement stations produce several hundred GB of high-resolution voltage data per hour. You own the step from raw signal to reliable answer. • Work with novel cell noise data: Derive features from raw time series that make physical sense that hold up in production • Build for streaming: Design feature computations that work in streaming mode, at a throughput of up to 10,000 measurements per hour. • Make throughput a design decision: Build modular, parameterizable nodes for our distributed processing pipeline and help bring them into our Rust-based production environment. • Ship modules, not scripts: Automate evaluations end to end, from raw data to reports for our engineering team and our customers. • Own customer projects technically: Assess requirements, communicate interim results and findings, and turn feedback into improvements. What You Bring 🕵️ • Measurement experience: A degree in electrical engineering (or comparable) and 3+ years with real-world measurement data. Sampling, noise, filtering and artifacts you know from practice, not just lectures. • Physical intuition: You can explain why a feature makes sense, and you prefer a simple, well-understood method over a model nobody can explain. • Data at scale: You think in throughput: data formats, intermediate results, distributed and cached processing. • Clean engineering: Python, Git, tests and CI/CD as a matter of course. No Rust expertise needed, but the will to learn it. • Customer confidence: Fluent German and English, written and spoken. You explain results clearly to engineers and managers alike. Why Limatica 🚀 • Real ownership: Your own part of the pipeline and your first customer project within months. As we grow, this role can grow into technical lead. • Learn what few get to learn: Electrochemistry, Rust in production and data engineering at scale, with real cells and international manufacturers. • Share the upside: Salary package including virtual stock options. • Invest in yourself: Additional holiday for personal learning • Flexibility & wellbeing: Flexible hours, hybrid work, further benefits via Guud Card and free beverages What it's like here: You get a lot of trust and a lot of room to shape things. We look for people who stay with a problem until it's solved and who enjoy the moments when a customer launch needs the whole team. Those are the moments where people here grow fastest. This role is intentionally a towards-senior position. You will take on increasing responsibility for pipeline modules and customer projects. Those who help shape the architecture and lead projects independently grow into a senior role with us. Apply ✉️ Apply via the Link with your CV and with a few lines on the trickiest measurement artifact you've ever hunted down. That tells us more than any cover letter. Code samples or a GitHub link are welcome, not required. Ready to find the signal in the noise? Let's build the future of battery diagnostics together. ⚡ Find more English Speaking Jobs in Germany on Arbeitnow

Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy—from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One +, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market. Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy. We are looking for a Data & Analytics Manager to lead an international BI and Data Analytics team across EMEA. This hands-on role combines people management, technical leadership, stakeholder management, and end-to-end data project delivery. You will translate business priorities into execution plans, guide technical decisions, unblock the team, and deliver reliable data products for BI, self-service analytics, and AI-enabled use cases. What you'll do Lead, coach, and develop an international BI and Data Analytics team. Build a motivating, accountable, and change-oriented team environment. Model clean, documented datasets in dbt, from staging through to marts. Own tests, documentation, metric definitions, data contracts, and version control workflows. Develop a semantic layer with governed metrics and dimensions. Drive the ongoing adoption of dbt best practices, ensuring models and documentation are consistent, well-structured, and ready for AI-powered analytics. Support team in the diagnosis of source data issues, reconciliation inconsistencies, and establishment of a single source of truth. Support data migration, ELT pipelines, and data platform consolidation. Optimize Snowflake performance, data freshness, and data quality. Own and continuously improve the processes that keep our data platform reliable. Use Python for data checks, automation, and utilities. Partner with BI and business teams to deliver certified datasets, self-service standards, and end-to-end reporting solutions. Translate business needs into scalable data products and governed metrics. Turn business priorities into project plans, identify risks and trade-offs, unblock the team, and drive delivery to completion. Mentor the team on analytics engineering best practices, modern tooling, and AI-assisted development. What you'll bring 3+ years of experience in Analytics Engineering, BI Development, Data Engineering, or a related field, including 1+ years of people or team leadership. Expert-level SQL and strong data modeling and architecture skills, including star schemas, semantic layers, governed metrics, data contracts, and ELT pipelines. Hands-on experience building production-grade dbt projects, including staging-to-marts layering, tests, documentation, ownership, and version-control workflows. Snowflake experience, including query performance optimization, data freshness, and quality monitoring. Python skills for data checks, automation, and utilities. Experience with data quality and operations, including testing, monitoring, source-data reconciliation, CI/CD, data cataloging, and cost/performance tuning. Experience creating dbt models and documentation, AI-ready data products, and using AI-assisted development tools. Experience delivering certified datasets, self-service standards, and BI/reporting solutions end-to-end. Strong stakeholder management and communication skills, with a hands-on, entrepreneurial, and problem-solving mindset. A motivational leadership style, positive drive for change, and confidence to challenge assumptions and make decisions. Nice to have Experience with semantic layer tools such as dbt MetricFlow or Snowflake Semantic Views. Experience with AWS, Azure, or GCP. Experience leading distributed or international teams. German language skills. German is a strong plus but not mandatory. Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential—regardless of whether your experience meets every single requirement. ☀️ What we offer Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition. The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities. The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities. Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee. Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you. Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress. The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events. Your extra boost - 29 + 2 vacation days, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance. At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind. Find Jobs in Germany on Arbeitnow

Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy—from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One +, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market. Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy. We are looking for a BI & Data Analytics Team Lead to lead an international BI and Data Analytics team across EMEA. This hands-on role combines people management, technical leadership, stakeholder management, and end-to-end data project delivery. You will translate business priorities into execution plans, guide technical decisions, unblock the team, and deliver reliable data products for BI, self-service analytics, and AI-enabled use cases. What you'll do Lead, coach, and develop an international BI and Data Analytics team. Build a motivating, accountable, and change-oriented team environment. Model clean, documented datasets in dbt, from staging through to marts. Own tests, documentation, metric definitions, data contracts, and version control workflows. Develop a semantic layer with governed metrics and dimensions. Drive the ongoing adoption of dbt best practices, ensuring models and documentation are consistent, well-structured, and ready for AI-powered analytics. Support team in the diagnosis of source data issues, reconciliation inconsistencies, and establishment of a single source of truth. Support data migration, ELT pipelines, and data platform consolidation. Optimize Snowflake performance, data freshness, and data quality. Own and continuously improve the processes that keep our data platform reliable. Use Python for data checks, automation, and utilities. Partner with BI and business teams to deliver certified datasets, self-service standards, and end-to-end reporting solutions. Translate business needs into scalable data products and governed metrics. Turn business priorities into project plans, identify risks and trade-offs, unblock the team, and drive delivery to completion. Mentor the team on analytics engineering best practices, modern tooling, and AI-assisted development. What you'll bring 3+ years of experience in Analytics Engineering, BI Development, Data Engineering, or a related field, including 1+ years of people or team leadership. Expert-level SQL and strong data modeling and architecture skills, including star schemas, semantic layers, governed metrics, data contracts, and ELT pipelines. Hands-on experience building production-grade dbt projects, including staging-to-marts layering, tests, documentation, ownership, and version-control workflows. Snowflake experience, including query performance optimization, data freshness, and quality monitoring. Python skills for data checks, automation, and utilities. Experience with data quality and operations, including testing, monitoring, source-data reconciliation, CI/CD, data cataloging, and cost/performance tuning. Experience creating dbt models and documentation, AI-ready data products, and using AI-assisted development tools. Experience delivering certified datasets, self-service standards, and BI/reporting solutions end-to-end. Strong stakeholder management and communication skills, with a hands-on, entrepreneurial, and problem-solving mindset. A motivational leadership style, positive drive for change, and confidence to challenge assumptions and make decisions. Nice to have Experience with semantic layer tools such as dbt MetricFlow or Snowflake Semantic Views. Experience with AWS, Azure, or GCP. Experience leading distributed or international teams. German language skills. German is a strong plus but not mandatory. Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential—regardless of whether your experience meets every single requirement. ☀️ What we offer Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition. The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities. The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities. Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee. Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you. Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress. The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events. Your extra boost - 29 + 2 vacation days, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance. At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind. Find more English Speaking Jobs in Germany on Arbeitnow