You will lead a data engineering team within a UK organisation undergoing a data transformation, driving technical excellence and the growth of a Databricks Lakehouse. In this hybrid role, you shape the enterprise data platform while staying hands-on to deliver scalable data pipelines and trusted data solutions. You’ll partner with Architecture, BI, Data Science and Technology teams to enable business growth and innovation. This is a chance to influence technology decisions and mentor a high-performing team in a critical transformation effort.
Pay / Benefits
Enhanced pension contribution
Generous holiday allowance
Healthcare and wellbeing benefits
Enhanced family leave policies
Responsibilities
Lead, mentor and develop a team of Data Engineers
Provide technical leadership across data platforms, products and pipelines
Drive the migration and enhancement of a Databricks-based data platform
Design and maintain scalable data pipelines and curated datasets
Support wider transformation initiatives including cloud and SaaS programmes
Collaborate with Architecture, BI, Data Science and Technology teams
Champion engineering best practice across testing, deployment, monitoring and code quality
Ensure data platforms remain reliable, secure and high performing
Promote Agile ways of working and continuous improvement
Key requirements
Experience leading Data Engineering teams in a complex enterprise environment
Strong hands-on expertise in modern cloud-based data platforms
Excellent SQL and Python skills
Strong experience with Databricks and Lakehouse architectures
Deep understanding of data engineering, data modelling and platform design
Experience delivering solutions that support reporting, analytics and data science
Strong stakeholder management and communication skills
Comfortable balancing technical leadership with hands-on engineering responsibilities
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