Data Engineer, Utrecht

Our Client Our client is a fast-growing, purpose-driven company based in the Utrecht area. They are scaling their data capability and are looking for a Senior Data Engineer who thrives in an environment where you genuinely make a difference— not one where you hand off tickets and wait for a sign-off.This is not a role for someone who is used to large teams, rigid processes, and narrow ownership. You will be joining a compact, driven in-house tech team where your work has direct business impact and where breadth is just as valued as depth.

The Role As Senior Data Engineer you are not just a builder— you are the person who understands the platform end to end. You see how a change in one pipeline affects reporting downstream, how a new data source puts pressure on the warehouse, and how today's architectural choices create tomorrow's technical debt. That systems-level thinking is central to this role.Day to day you will own the full data pipeline— from ingestion to the dashboards that drive business decisions. You will work closely with data analysts and reporting specialists and will be the go-to person for architectural guidance within the team. The tech stack is built on Microsoft Azure, and you will be working with Azure Data Factory,Azure SQL, and Power BI on a daily basis.The role is hands-on by design. You will be expected to build, maintain, troubleshoot, and improve— while never losing sight of how the pieces fit together.

What is on offer: Salary between€70.000 and €85.000 gross per year, depending on experience Annual performance bonus 4 days per week on-site in the Utrecht area

Tasks&Responsibilities Act as the data platform architect— understanding the full system and anticipating the impact of changes across pipelines, storage, and reporting layers; Design, build, and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory; Develop and manage data warehouses and data lakes that serve reporting, analytics, and BI needs;Integrate data from diverse sources— databases, APIs, and external feeds — into a clean, reliable data platform; Transform raw data into structured, analytics-ready formats; Collaborate closely with analysts and Power BI users to ensure data is accurate, accessible, and timely; Own data quality and governance — implementingstandards and monitoring for issues proactively;Guide architectural decisions and make sure the platform scales sustainably as the business grows; Troubleshoot data issues end-to-end— you own the problem until it is solved.

Your Profile At least 5 years of hands-on experience in a data engineering role; A genuine architectural mindset— you naturally think about how changes ripple across a platform and make decisions with the full picture in mind; Strong, proven expertise with Microsoft Azure — including Azure Data Factory, Azure SQL Database, and related data services;Solid experience building and maintaining ELT pipelines, data warehouses, and data lakes; Strong SQL skills and solid data modelling knowledge; Experience with Python for data processing tasks; Familiarity with Power BI and how data feeds into reporting; A proactive, ownership mindset— you spot problems and fix them without waiting to be asked;Comfortable working in a scale-up or SME environment where priorities shift and autonomy is expected; Strong communication skills and the ability to translate technical decisions for non-technical stakeholders; Based in the Netherlands and able to commute to the Utrecht area 4 days per week.