Data Engineer

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In a Nutshell

Our clients are energy suppliers. They supply electricity and gas to businesses and homes. Probably including your own home! It can be a complicated sector and so our clients often engage ENSEK to help. We are experts in Energy and our Digital Insights team, which is where this role sits, acts as the source of truth for data for both our business and our customers, providing actionable insights and operational dashboards to help the customers understand their business and remain compliant.

At ENSEK we push the boundaries on technology, using the latest cloud technologies providing a cutting edge, real time data science solution. It is a change from batch-driven databases and requires a special type of Data Engineer who is forward thinking and has experience or the aptitude to work with new technologies.


  1. Develop and maintain scalable data pipelines to support continuing increases in data volume and complexity.
  2. Collaborate with the team to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
  3. Maintain processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  4. Define company data assets (data models).
  5. Use technical skills to apply data manipulation techniques to enhance, streamline and update reporting
  6. Maintain and develop controls to assure quality of data services across multiple deployments.

Key Skills


A very high attention to detail is needed for this role, you will be delving into multiple datasets and the opportunity to make mistakes will be plentiful. Can you put in place practices that will ensure accuracy in your data output?


Every day is different. Our customers, our working practices, and our priorities change. Can you handle that?


You will need to be very SQL savvy. Understanding how databases work and differ storage patterns is going to be crucial for a real-time system. A basic understanding of data science would not go amiss either.


Good grounding of cloud systems is preferable, we use technologies like queues, containers, source control and storage.


The energy market is complicated. It would be ideal if you had a background in energy, but it is not a deal breaker.