Senior Full-stack Data Engineer

Senior Full-Stack Data Engineer

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• Eneco - Rotterdam

• > 5 jaar

• Data & AI

• €88.000 - €131.000

Senior Full-Stack Data Engineer

• Eneco - Rotterdam

• Data & AI

• > 5 jaar

• €88.000 - €131.000

Apply

Good to know: you can easily save this vacancy using the print button at the top of the page. After the closing date, this vacancy will be removed from our website.

• 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.

Why choose Eneco?

The One Planet strategy we are committed to here at Eneco sets an ambitious goal to be climate neutral by 2035. We want to achieve that goal for both us and our clients. As a Senior Data Engineer, you'll contribute from within the energy trading domain, working at the intersection of Data Engineering, Platform Engineering and Quantitative Analytics . You'll help turn analytical solutions into reliable, production-grade data products while contributing to the evolution of our data platform and engineering practices. This is a role where strong engineering goes hand in hand with understanding the business challenges behind the technology.

What you'll do

• 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 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.

• Help professionalize the development of 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.

Is this about you?

You have:

• A 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.
• A strong ability to balance business understanding with technical execution.
• Experience with Azure services such as ADLS Gen2, Azure DevOps, Key Vault, Data Factory or equivalent.
• 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.

You'll be responsible for

As a Senior Data Engineer, you'll work as an embedded engineer within a business-facing analytics and quantitative team. You'll help develop and maintain reliable data solutions while supporting the team through its data platform migration and strengthening engineering practices.

• Design and maintain reliable Azure-based data pipelines and data products.
• Deploy, monitor and support Azure Databricks workloads in production.
• Turn analyst-developed Python notebooks and analytical prototypes into tested, maintainable production solutions.
• Work closely with analysts and quantitative specialists to translate business objectives into scalable technical solutions.
• Build and support batch and streaming data pipelines.
• Help 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 adopt sustainable engineering practices.
• Lead and support the team through ongoing data platform migration initiatives.

This is where you'll work

You'll be part of a business-facing team within the energy trading domain, working at the intersection of Data Engineering, Platform Engineering and Quantitative Analytics. You'll work closely with analysts and quantitative specialists to understand business objectives and translate them into scalable technical solutions.

The environment is built around Azure and Azure Databricks, with the team developing and maintaining data pipelines and data products while progressing through an ongoing data platform migration. An important part of the work is strengthening engineering practices across testing, CI/CD, automation, monitoring and documentation.

What we have to offer

Personal and professional growth

Eneco is fully committed to help you in your personal and professional development.

Meld Misbruik