Data Platform Engineer

Responsibilities

• Develop & optimize ETL pipelines to process large-scale data efficiently.
• Implement CI/CD pipelines to automate and improve deployment processes.
• Work with data modeling, warehousing, and integration strategies.
• Ensure data quality, governance, and monitoring are maintained and enhanced.
• Support and mentor junior engineers, fostering a culture of knowledge-sharing and best practices.
• Contribute to the scalability and performance of our data infrastructure.
• Participate in Agile development, contributing to sprint planning and team discussions.
• Engage in architectural discussions, ensuring long-term maintainability of data solutions.
• Proactively identify opportunities for automation and process improvements.

Requirements

• You communicate clearly and effectively, able to explain complex issues and articulate your work with confidence.
• Proficiency in Python & SQL for data processing and transformation.
• Ability to write clean, maintainable, and well-documented code.
• Experience with ETL processes, data warehousing, and data modeling.
• Hands-on experience with cloud-based data platforms (Azure, AWS, or GCP).
• CI/CD knowledge and best practices for data engineering workflows.
• Agile & DevOps experience, understanding modern data development lifecycles.
• Strong problem-solving skills and a proactive mindset.
• Excellent communication and collaboration skills, capable of working both independently and within a team.

Preferred

• Experience with PySpark and Databricks.
• Full-stack development experience, particularly with Django (UI & backend).
• Knowledge of data visualization tools and their integration with data pipelines.
• Familiarity with monitoring, logging, and alerting for data systems.
• Exposure to data governance and security best practices.

Why Join Us?

Collaborative, Agile & High-Performing Team

Join a team that not only values knowledge-sharing and continuous learning but also follows modern agile methodologies and DevOps practices. We are proud to be a high-performing team, consistently excelling according to DORA metrics.

End-to-End Data Engineering

Get hands-on experience with data extraction, transformation, load, warehousing, and visualization—not just one piece of the puzzle.

Exposure to Cutting-Edge Technologies

Work with the latest developments in modern cloud-based data platforms.

Constant Challenges & Learning Opportunities

Embrace a role where you are constantly challenged to innovate and grow, with ongoing opportunities to expand your skill set and explore new ideas.

Work-Life Balance & Flexibility

We support a hybrid working model, offering the flexibility to work from home while staying connected with the team in the office.

Impact-Driven Work

Your contributions will directly influence how global brands make media investment decisions, giving your work real-world impact.

Driven and Ambitious

You are motivated to succeed in building highly scalable data environments and have a proven track record of successful ETL/DWH projects.

Curious and Creative

You embrace openness to experience—constantly exploring new ideas and innovative solutions.

Team-Oriented

• A true team player, you thrive within collaborative environments and actively contribute to improving team processes.
• Strong Problem Solver: You possess excellent problem-solving skills, efficiently troubleshooting data pipeline issues and finding optimal solutions.
• Accountable and Transparent: You take full ownership of your work, consistently communicating progress and challenges.

Positive Attitude

You bring energy and enthusiasm to the team, fostering a supportive and dynamic work atmosphere.

Key Responsibilities

Skills, Knowledge and Expertise

Benefits

• Based in the Netherlands – candidates must be located within the country.
• We have a great office directly next to the Utrecht central station.
• Hybrid working model: flexible work-from-home and office presence.
• Collaborative and supportive environment that encourages growth and innovation.
• . Opportunity to work with modern data technologies in a fast-paced, agile environment
• Interested? Apply Today!
• If you are passionate about data engineering, automation, and building scalable data solutions, we would love to hear from you!