As a Data Engineer, you'll act as a technical subject matter expert responsible for developing, optimizing, and scaling data assets. You will work within the CS Data Engineering team to build internal tools, infrastructure, and user-facing products that enable efficiency, data quality, and reliable data flows across the organization.

What You'll Be Doing

• Rapidly developing next‑generation, scalable, and high‑performance data pipelines
• Troubleshooting and resolving data issues, prioritizing by customer impact, and implementing root‑cause fixes
• End‑to‑end ownership of data quality for core data assets
• Mapping data flows across systems to improve efficiency and resilience
• Designing scalable and extensible physical data models supporting both new and existing solutions
• Building integrations across on‑premise and cloud systems
• Experimenting with new technologies to improve performance, scaling, and data quality
• Contributing to data discovery and data governance tooling supporting analytics teams
• Building monitoring solutions and handling outages when needed

What You’ll Bring

• A strong sense of ownership, accountability, and a collaborative mindset
• Ability to thrive in a dynamic environment with changing priorities
• Low‑ego, open, friendly attitude — embracing diversity as a strength

Education

• Bachelor’s degree in Computer Science or a related field

Experience & Skills

• 4+ years building data pipelines using Hadoop, Airflow, Kafka, Spark, MySQL, AWS
• 4+ years Data Warehousing experience
• 4+ years with cloud technologies (Amazon Cloud, S3, Snowflake)
• 2+ years with data streaming
• 2+ years data modeling experience
• Data Science skills
• Intermediate knowledge of data governance (e.g., DAMA)
• Strong understanding of data quality frameworks
• Excellent communication skills in English

 Details

• Start: Asap
• Duration: 9 months
• Location: Amsterdam, Hybrid