Senior Full-Stack Data Engineer

at Eneco

EUR 88,000-131,000 per year

SENIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Azure @ 7 Azure DevOps @ 4 CI/CD @ 4 Data Engineering @ 7 Data Pipelines @ 4 Databricks @ 4 DevOps @ 4 MLOps @ 4 Machine Learning @ 4 Observability Performance Optimization Python @ 7 SQL @ 7 Spark @ 4 Terraform Vault @ 4

Details

Work at the intersection of Data Engineering, Platform Engineering, and Quantitative Analytics within the energy trading domain. Build and productionize data solutions using Azure, Databricks, Python, SQL, and Spark across batch and streaming workloads. Help transform analytical prototypes into scalable, reliable, and maintainable data products while supporting the wider data platform migration.

Responsibilities

Act as an embedded engineer within a business-facing analytics and quantitative team.
Lead and support the team through ongoing data platform migration initiatives.
Design and maintain reliable Azure-based data pipelines and data products.
Convert analyst-developed Python notebooks and analytical prototypes into tested, maintainable production solutions.
Deploy, monitor, and support Azure Databricks workloads in production.
Work closely with analysts and quantitative specialists to understand business objectives and translate them into scalable technical solutions.
Build and support batch and streaming data pipelines.
Improve the development lifecycle through testing, CI/CD, automation, monitoring, and documentation.
Optimize data transformations, models, and reporting workloads.
Provide technical guidance and help colleagues with varying levels of engineering maturity adopt sustainable engineering practices.

Requirements

Strong Data Engineering background in Azure cloud environments.
Hands-on Azure Databricks experience, including Spark, Delta Lake, Workflows, and Unity Catalog.
Strong Python and SQL skills.
Experience building batch and streaming data pipelines.
Experience turning notebooks and analytical prototypes into production-grade solutions.
Knowledge of testing, code reviews, CI/CD, and software engineering best practices.
Experience working directly with analysts, data scientists, quantitative specialists, or business-oriented teams.
Ability to balance business understanding with technical execution.
Experience with Azure services such as ADLS Gen2, Azure DevOps, Key Vault, and Data Factory, or equivalent technologies.
Experience contributing to platform migration or modernization initiatives.

Nice to Have

Machine Learning Engineering or MLOps experience.
Terraform or Bicep.
Azure monitoring and observability tooling.
DataOps practices and orchestration frameworks.
Dashboard performance optimization and semantic modeling.

Work Environment

The role is part of a business-facing team within the energy trading domain, working across Data Engineering, Platform Engineering, and Quantitative Analytics. The environment is built around Azure and Azure Databricks, with an ongoing data platform migration and a focus on testing, CI/CD, automation, monitoring, and documentation.

Benefits

Gross annual salary between €88,000 and €131,000, including FlexBudget, 8% holiday allowance, and, depending on the role, a bonus or collective profit sharing.
FlexBudget that can be paid out, used to buy additional holiday days, or saved.
Personal and professional development support.
Hybrid working: 40% in the office, 40% from home, and 20% flexibly.
With manager approval, work abroad within approved countries for up to three weeks per year, with a maximum of two consecutive weeks.
Flexible working hours, work-from-home options where applicable, and workplace adjustments for employees with physical or sensory disabilities.