Data Engineer

About the Role:

For a client in the in Amsterdam, we are looking for a Data Engineer on a payroll basis. They need data engineering support in building customer domain data products, including building pipelines, governance, and data quality management, as well as stakeholder management.

Responsibilities:

• Building, improving, and maintaining ingestion/transformation pipelines in SQL/Python (BigQuery, dbt, Databricks);
• Managing, reviewing, and improving processes from coding to infrastructure;
• Creating and implementing data engineering standards from ingestion to transformation, data quality and data contracts;
• Reviewing data models, data contracts, and data mappings for alignment with governance standards;
• Presenting data product, data quality and governance standards, and insights to stakeholders;

Requirements:

• Experience writing pipelines in dbt and Python and production-grade code on cloud platforms (GCP preferred);
• Hands-on experience with BigQuery and Databricks/PySpark;
• Ability to review and improve processes by introducing new ways of coding, reviewing, testing;
• Understanding of data visualisation (ideally PowerBI);
• Experience with data quality frameworks: defining rules, writing tests, investigating failure;
• Knowledge of data structures: data models, databases, data warehousing, and how data flows across systems;
• Knowledge of data governance frameworks, metadata management, and data cataloguing best practices.

What We Offer:

• A payroll position
• Flexible Working: Hybrid model, with 2–3 days in the office

Additional Questions or Interest?

Please contact Erin Buirski at erin@sanderscreemers.nl