Energy Infrastructure SME (UK)

Sourcing a Senior Data Engineer to Unify Asset Data and Improve Forecasting Across a Growing Renewable Portfolio

The Challenge

Our client was a mid-sized energy infrastructure company expanding its renewable energy portfolio. As the asset base grew, so did the data problem. Performance monitoring, asset telemetry, and financial reporting were running on separate systems that did not talk to each other. The business needed a Senior Data Engineer who could build the infrastructure to bring that data together and make it useful.

This was their first senior data engineering hire. That made the search harder in a specific way. The leadership team had no internal benchmark for what good looked like in this market, no clear view of what the role should pay, and no way to assess whether the candidates they were seeing were genuinely strong or just confident. They needed a recruitment partner who could provide market intelligence alongside the search itself, not just a shortlist.

The role required cloud-native platform experience, real-time analytics capability, and enough understanding of energy and infrastructure environments to work meaningfully with asset performance data. That combination narrowed the pool considerably.

The Solution

Xist4 ran a research-led retained search, starting with a structured market review before any candidates were approached.

• Worked with the CTO and Head of Data to define what the role actually needed to deliver, moving beyond a technical wish list to agree on platform objectives and what success looked like in the first six months.
• Mapped 120 data engineers across energy, infrastructure, and analytics sectors, profiling technology stacks, experience levels, compensation expectations, and availability across the UK and Europe.
• Targeted candidates with direct experience in Python, SQL, Spark, and Databricks within energy or asset-intensive environments, prioritising people who had built platforms rather than just maintained them.
• Positioned the role around technical ownership and the scale of the data challenge, making the sustainability mission a supporting reason to engage rather than the primary one.
• Delivered weekly market feedback on compensation trends, candidate response rates, and how the role was landing, giving the leadership team the context they needed to make confident decisions throughout.

The Result

Within six weeks, Xist4 presented a shortlist of experienced data engineers with strong cloud and analytics credentials and relevant sector exposure.

The appointed candidate built a cloud data platform that integrated asset telemetry and financial data for the first time, giving the business a single view of performance across the portfolio. Forecasting accuracy improved and operational decisions that had previously relied on manually compiled reports became faster and more reliable. For a company making its first senior data engineering hire, getting that appointment right mattered beyond the immediate role. It set the standard for the data function the business was starting to build.