Senior Data Engineer: Azure + Databricks, Hybrid

Eneco; Rotterdam; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

FlexBudget

8% holiday allowance

Bonus or profit sharing

Hybrid working (home/office/abroad)

Job summary

Eneco is seeking an embedded data engineer operating at the intersection of Data Engineering, Platform Engineering and Quantitative Analytics. You will build and productionize data solutions using Azure technologies and Databricks, turning prototypes into scalable data products while supporting the ongoing data platform migration.

You will collaborate with analysts and quantitative specialists to align business goals with engineering priorities, promote CI/CD, testing, and robust documentation,

Qualifications

• Experience building data pipelines in Azure cloud environments.
• Production-grade data products from analytical prototypes.
• Experience turning notebooks into scalable production solutions.
• Familiarity with testing, code reviews, and CI/CD practices.

Responsibilities

• Act as an embedded engineer within a business-facing analytics and quantitative team.
• Lead and support ongoing data platform migration initiatives.
• Design and maintain Azure-based data pipelines and data products.
• Convert analyst notebooks into tested production solutions.
• Deploy and monitor Azure Databricks workloads in production.
• Collaborate with analysts and quantitative specialists to translate business needs into scalable tech solutions.
• Advance development lifecycle with testing, CI/CD, automation, and documentation.
• Optimize data transformations, models and reporting workloads.
• Provide guidance to colleagues to adopt sustainable engineering practices.

Skills

Data engineering

Python

SQL

Business understanding

Tools

Azure Databricks

Spark

Delta Lake

Azure ADLS Gen2

Azure DevOps

Data Factory

Unity Catalog

CI/CD tooling

Job description

Eneco is seeking an embedded data engineer operating at the intersection of Data Engineering, Platform Engineering and Quantitative Analytics. You will build and productionize data solutions using Azure technologies and Databricks, turning prototypes into scalable data products while supporting the ongoing data platform migration.

You will collaborate with analysts and quantitative specialists to align business goals with engineering priorities, promote CI/CD, testing, and robust documentation,