Data Engineer Amsterdam | Hybrid | Full-timeAbout the CompanyWe are recruiting on behalf of a leading international organisation that is setting the standard for data-driven transformation. Within a high-impact internal data team, you will help build a new Reporting & Analytics platform based on Databricks and Azure, a cornerstone initiative driving the company’s global data strategy. Here, innovation meets purpose: you’ll work on meaningful projects that empower thousands of users to make better decisions every day.About the RoleAs a Data Engineer, you will take ownership of building and optimising scalable, metadata-driven data pipelines and workflows within Databricks. This is a hands-on engineering role at the heart of a new, cloud-native platform, designed for performance, scalability, and long-term growth. You’ll collaborate with a multidisciplinary team of data engineers, architects, BI analysts, and a Scrum Master to ensure that data infrastructure and pipelines are future-proof, secure and AI-ready.ResponsibilitiesBuild and Design Pipelines: Develop scalable, metadata-driven workflows within Databricks.CI/CD Automation: Create and maintain CI/CD pipelines using Azure DevOps and Git.Data Architecture: Implement and optimise Medallion Architecture using Delta Live Tables (DLT) and Unity Catalog.Azure Integration: Manage Azure components such as Key Vault, ADLS Gen2, and Active Directory.Data Ingestion: Ingest data from multiple sources, including APIs and cloud systems.Quality & Testing: Implement unit testing, performance monitoring, and cost optimisation.Collaboration: Work closely with BI teams to integrate data into Power BI and Delta Sharing.Documentation & Standards: Contribute to internal documentation and share best practices.Qualifications🎓 Education:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.Required Skills5+ years of experience as a Data Engineer, with proven hands-on expertise in Databricks and Azure.Proficient in Python and PySpark.Strong understanding of Delta Live Tables, Medallion Architecture, and Unity Catalog.Experience with Azure DevOps, Git, and metadata-based programming.Familiarity with Agile/Scrum environments.Certifications such as DP-203 or Databricks Data Engineer Associate/Professional are a major advantage.Preferred SkillsProficiency in SQL.Pay Range & BenefitsCompetitive salary with an excellent pension plan32 vacation days per yearFlexible hybrid working environment with home office and expense allowancePersonal well-being budget to support physical and mental healthExtensive professional training and certification supportSustainable mobility options, including electric lease car or mobility allowanceA collaborative, high-performance culture where your work is recognised and your growth is supportedEqual Opportunity StatementThis is your opportunity to help build the foundation of a modern, enterprise-wide analytics ecosystem. Your work will directly influence how the organisation collects, shares, and activates data across all business domains.Interested?If this sounds like the next step in your data engineering career, we’d love to hear from you.📩 Apply now with your CV using Easy Apply and we’ll be in touch soon.