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.
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.
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.
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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.
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.






Contact our recruiter at: [email protected]


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