Enterprise Data Engineer (Databricks, dbt, SQL)
We are seeking an Enterprise Data Engineer to join a high-performing technology organization in the financial markets space, building a next-generation enterprise data platform. In this hands-on role, you will own data modeling, governance, and consumption across Finance, People, and Business Operations, working with a modern stack including Databricks, dbt, SQL, and PySpark. The ideal candidate has strong SQL and dbt experience, has built modern analytics/data platforms, and is comfortable working directly with business stakeholders.
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Job Description
Enterprise Data Engineer | Amsterdam | Up to €200,000
We are hiring for an Enterprise Data Engineer to join a high-performing technology organisation within the financial markets space, helping build a next-generation enterprise data platform.
This is a hands-on engineering role where you’ll have significant ownership over how data is modelled, governed and consumed across areas including Finance, People and Business Operations.
You’ll be working with a modern data stack including:
• Databricks / Lakehouse architecture
• dbt, SQL and PySpark
• Scalable ELT pipelines
• Dimensional, Medallion and Data Vault modelling
• Semantic layers and standardised KPIs
• Data governance, lineage and quality
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