Data Engineer & Governance Steward — Amsterdam

Huxley; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Huxley in Amsterdam is seeking a Data Engineer / Analytics Engineer / Data Steward to build customer data products, pipelines, and governance frameworks. You will manage data quality, metadata, and stakeholder enablement while collaborating with product and engineering teams.

The role sits at the intersection of Data Engineering, Analytics Engineering, and Data Stewardship, valuing candidates with deep expertise in one area and solid foundation in others. 2-3 days onsite per week in Amsterdam.

Qualifications

• Experience building pipelines with dbt or Python.
• Production-grade solutions on cloud platforms (GCP preferred).
• Hands-on BigQuery and PySpark/Databricks experience.
• Strong SQL skills and dbt modelling.
• Familiarity with data quality frameworks and governance concepts.
• Knowledge of data models, warehousing, and data flows.
• Basic data visualization using Data Studio or Power BI.

Responsibilities

• Build, improve, and maintain ingestion and transformation pipelines using SQL and Python.
• Perform ad hoc analytics when required.
• Define and maintain data quality rules, tests, and dashboards using dbt and Elementary.
• Lead root-cause analysis for data quality issues and drive corrective actions.
• Maintain business definitions, harmonisation rules, and metadata across datasets.
• Review data models, data contracts, and data mappings for governance alignment.
• Present data product, governance, and data quality insights to stakeholders.
• Collaborate closely with data engineers, data stewards, software engineers, and product teams.

Skills

Data engineering fundamentals

dbt

Python

SQL

Cloud platforms (GCP)

BigQuery

Databricks

Data governance

Metadata management

Data quality testing

Data models & warehousing

Data visualization basics

Tools

dbt

Power BI

Data Studio

BigQuery

Databricks

Miro

Job description

Huxley in Amsterdam is seeking a Data Engineer / Analytics Engineer / Data Steward to build customer data products, pipelines, and governance frameworks. You will manage data quality, metadata, and stakeholder enablement while collaborating with product and engineering teams.

The role sits at the intersection of Data Engineering, Analytics Engineering, and Data Stewardship, valuing candidates with deep expertise in one area and solid foundation in others. 2-3 days onsite per week in Amsterdam.