Provide line management and coaching to Data Engineers and Data Analytics Engineers, supporting performance, growth, and engagement.
Act as technical authority within the team, setting standards for data architecture, modelling, and engineering best practice.
Contribute directly to delivery, leading by example through high-quality engineering on critical initiatives.
Collaborate with the TDM to ensure the team operates efficiently within our agile delivery framework, contributing to estimation, planning, and retrospectives.
Guide and support the design and build of robust, scalable data pipelines and curated datasets, including the delivery of EDWv4 and other Tardis programme workstreams.
Foster a culture of continuous improvement, innovation, and knowledge sharing within the team.
Represent the team in cross-functional forums and contribute to shaping the broader data landscape, including tooling, patterns, and governance.

Proven ability leading and line managing technical data teams
Experience with cloud data platforms such as Microsoft Azure
Strong SQL query and scripting
Experience consuming data from various sources, such as REST\Graph QL APIs, CSV, Parquet
Ability to translate technical concepts into non-technical language
Knowledge of data modelling theory
Familiarity with data governance principles and best practice to ensure data quality, security, and compliance.
Ability to troubleshoot and debug complex data engineering problems, including performance bottlenecks and data pipeline failures.
Excellent communication skills, and attention to detail

Lead Data Engineer

Key skills