Data Engineer II

We are a technology business operating in the global energy sector.

ENSEK have become the go-to option for top energy suppliers across the globe. Why? Because our technology is a significant step change away from the legacy systems that have historically dominated the market. It’s also massively cheaper to adopt the ENSEK solution, with no loss in customer service or standards.

But by far the biggest reason why ENSEK is the best choice in energy supplier software, is because of the people who work here and their endless enthusiasm, energy, and the way they support their colleagues. All our clients comment on what great people we have. Our people are our superpower.

That is where you come in.

ROLE SUMMARY

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.

KEY RESPONSIBILITIES

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. 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 assure quality of data services across multiple deployments.

SOFT SKILLS

1. Adaptable. Every day is different. Our customers, our working practices, and our priorities change. Can you handle that?
2. 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?

TECHNICAL SKILLS: 

1. Analytical. 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.
2. Basic understanding of data science.
3. Cloud. Good grounding of cloud systems is preferable, we use technologies like queues, containers, source control and storage.
4. Experience. The energy market is complicated. It would be ideal if you had a background in energy, but it is not a deal breaker.