Energy Infrastructure SME
Sourcing a Senior Data Engineer to Enhance Analytics and Optimise Asset Performance
The Challenge
Our client, a mid-sized energy infrastructure company, was expanding its renewable energy portfolio and needed to improve data quality, unification, and analytics. The organisation sought a Senior Data Engineer experienced in cloud-native data platforms, real-time analytics, and asset performance monitoring.
As this was the first senior data engineering hire, the company lacked visibility into market availability, skills depth, and salary expectations. They required a partner capable of providing both technical search and recruitment intelligence.
The Solution
Xist4 delivered a research-led technical search supported by a Recruitment Insight Audit Report that benchmarked compensation, technology stacks, and candidate distribution across the UK and Europe.
Key actions included:
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Defining the Success Profile: Partnered with the CTO and Head of Data to define success criteria and platform objectives.
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Recruitment Insight Audit: Identified 120 relevant data engineers across the energy, infrastructure, and analytics sectors, profiling their technologies and experience.
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Market Mapping: Targeted professionals with experience in Python, SQL, Spark, and Databricks within energy analytics environments.
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Outreach and Screening: Executed a campaign highlighting the sustainability mission and technical ownership opportunity.
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Weekly Insight Updates: Shared live market feedback and compensation trends to support offer alignment.
The Result
Within six weeks, Xist4 presented a shortlist of experienced data engineers with strong cloud and analytics expertise.
The successful candidate built a cloud data platform integrating asset telemetry and financial data, improving forecasting accuracy and operational efficiency.
The engagement demonstrated how Xist4’s Recruitment Insight Audit Report helps SMEs compete effectively for technical talent in the energy transition sector.