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 solutions. 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.

As a Data Engineer, you will have an opportunity to make a real business impact. You will be at the heart of the business, helping deliver value from data identifying the best applications of analytical tools and influencing critical processes.


  1. Develop and maintain scalable data pipelines to support continuing increases in data volume and complexity.
  2. Collaborates 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. Defines 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 and to assure quality of data services across multiple deployments.

Key Skills

Detail and insight

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 database work and differ storage patters is going to be crucial for a real time system.

Basic understanding of data science will not go a miss 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.