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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data engineer - **Company:** ZEEKR EU - **Location:** Amsterdam, Netherlands - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Microsoft Azure, Business Intelligence Development, Business Software, Software Documentation, Cyber Security, Information Systems, Databases, Continuous Integration, Data as a Services, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Migration, Data Mining, Data Retention, Data Warehousing, Relational Databases, Dimensional Modeling, PostgreSQL, Meta-Data Management, Microsoft SQL Server, MySQL, Power BI, Software Engineering, SQL Databases, Systems Integration, Enterprise Data Management, Data Processing, Data Server Interface, Enterprise Software Applications, Azure Data Factory, Git, Data Layers, Semi-structured Data, Information Technology, Data Management, Restful APIs, Data Pipelines - **Published:** September 12, 2026 - **Apply:** https://nl.talent.com/redirect?id=629360522924400116&source=vacant&utm_medium=xml&utm_campaign=marketing&utm_product=vacantnew_bulk&oapply=org_v2026-09&puid=edaaaddedda7adddbdda9ddgeddbaddeadaebdd79dde9ddcbddcaddgbdagaddfcddf9ddabea3addffddgaed2dddgaddgfddgaddgaddg9ddg6ed3gc9bbb9b3bee3ee33def3de93de83de7gddggddbfdd93def3de7gddf3ee33de93deg3ee33ee33deg3ee33ee33ee33ee33ee33ee3&pos=0&xml_batch_generation_id=66d0b8c0-462a-44f2-9469-193df6956381&falcon=1&pid=5a464b205cdf&bpid=c529312f65732145fe6b63dec717398b ## About the Role * Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related technical discipline. Experience * 3+ years of experience as a Data Engineer, Analytics Engineer, or Business Intelligence Engineer. * Experience designing and maintaining enterprise-scale data platforms. * Experience working with structured and semi-structured data from multiple systems. * Experience supporting business reporting and analytics in an enterprise environment. Technical Skills * Advanced SQL. * Python for data engineering and automation. * Experience with ETL/ELT frameworks. * Experience with relational databases (SQL Server, PostgreSQL, MySQL, etc.). * Understanding of dimensional modeling and data warehouse design. * Experience with Power BI or equivalent BI platforms. * Experience integrating REST APIs and enterprise systems. * Familiarity with Git and CI/CD practices. Preferred Qualifications * Experience with Microsoft Azure data services (Azure Data Factory, Synapse Analytics, Fabric, etc.). * Experience with Power Platform. * Experience with GDPR, OneTrust, or enterprise data governance. * Experience in the automotive, retail, e-commerce, or manufacturing industry., * Strong analytical and problem-solving skills. * Excellent communication and stakeholder management. * Ability to explain technical concepts to non-technical stakeholders. * Self-driven with strong ownership and attention to detail. * Fluent in English. To thrive at Zeekr we believe that you have the courage to lead with trust and care and you don't mind getting your hands dirty. You are highly innovative and have a great ability to adapt and perform in a constantly changing, fast-paced, highly demanding work environment. Like us, you believe it's important to have a passion to work in an international and multicultural environment with the desire and ability to embrace the diversity of people, perspectives, and styles. ## Description The Data Engineer is responsible for designing, building, and maintaining the enterprise data platform that supports digital products, business intelligence, analytics, and operational reporting across European markets. This role focuses on developing scalable data pipelines, building high-quality data models, and enabling reliable, self-service access to business data. The Data Engineer works closely with Product Managers, Business Analysts, Software Engineers, and business stakeholders to ensure data is accurate, secure, and accessible., * Design, develop, and maintain scalable ELT/ETL pipelines that ingest data from enterprise systems, APIs, databases, and third-party platforms. * Build reliable and reusable data models that support operational reporting, business intelligence, and analytics. * Ensure data quality, consistency, integrity, and availability across all data platforms. * Monitor and optimize data pipeline performance, scalability, and reliability. Data Integration * Integrate data across enterprise applications including CRM, ERP, Dealer Management Systems (DMS), Finance, Logistics, and Digital Commerce platforms. * Develop APIs and data interfaces where required to support business applications and reporting. * Support data migration and system integration initiatives for new projects and market rollouts. Business Intelligence * Partner with business stakeholders to understand reporting and analytical requirements. * Deliver business-ready datasets for BI platforms such as Power BI. * Support dashboard development by designing efficient data models and semantic layers. * Enable self-service analytics through standardized and documented datasets. Data Governance & Compliance * Implement best practices for data governance, metadata management, and data quality. * Ensure data processing complies with GDPR and internal security policies. * Support data privacy processes including data retention, deletion requests, and governance activities. * Collaborate with Legal and Information Security teams on compliance initiatives. Operational Support * Provide technical support for data-related issues across business applications. * Perform SQL analysis and ad-hoc data extraction when required. * Investigate data discrepancies and work with software engineering teams to resolve root causes. * Support production environments by monitoring data pipelines and resolving incidents. Collaboration * Work closely with Digital Product Managers, Business Analysts, Software Engineers, BI Developers, and HQ data teams. * Participate in digital transformation initiatives across multiple business domains. * Promote engineering best practices, documentation standards, and reusable data assets. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Where to Find Entry-Level Software Engineering Jobs](https://www.wearedevelopers.com/magazine/397-where-to-find-entry-level-software-engineering-jobs) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)