Lead Data Engineer

Location: London

Lead Data Engineer
Hybrid Working  24 days per month in the office (East London / Essex)
Salary to £75k + Bonus
A Lead Data Engineer is required to take technical ownership of an evolving Microsoft Fabric data platform.
Fabric has already been implemented and a number of key data sources are being ingested into the Bronze layer. The next phase is about maturing the platform through Silver and Gold, improving data quality and introducing consistent engineering standards and best practice across the environment.
This is a hands-on technical leadership role rather than a people-management position. You'll act as the senior technical authority and escalation point for the Data Engineering team, while remaining close to the architecture, pipelines and engineering work.

Key Responsibilities
Own and evolve the technical architecture and engineering standards for the Microsoft Fabric platform
Drive the maturity of the existing Fabric environment from Bronze through Silver and Gold
Design, build and optimise scalable Fabric pipelines, Lakehouse and data engineering solutions
Introduce consistent engineering approaches across pipelines, permissions, security, refresh processes and development practices
Develop and optimise complex SQL queries, transformations and analytical data models
Improve data cleansing, quality, governance, monitoring and overall platform reliability
Modernise and consolidate data from a mixture of legacy/on-premise and cloud applications into Fabric
Troubleshoot complex data and reporting issues, acting as the senior technical escalation point
Coach and mentor Data Engineers through pairing, code review and practical guidance, raising capability and embedding best practice across the team
Support downstream Power BI and self-service analytics through well-designed, reliable data models
Establish clear technical documentation, standards and knowledge-sharing practices
Required Experience
Strong hands-on Microsoft Fabric experience, including architectural design and engineering best practice
Demonstrable experience implementing or maturing Medallion/Lakehouse architecture through Bronze, Silver and Gold
Experience modernising or migrating legacy/on-premise data platforms into Fabric or a comparable modern data architecture
Strong hands-on SQL expertise, including performance tuning and optimisation
Experience designing and developing Fabric pipelines, transformations and analytical data models
Strong understanding of data cleansing, data quality, governance and production platform reliability
Experience establishing engineering standards and improving inconsistent or immature data environments
Comfortable acting as the senior technical escalation point for other Data Engineers
Experience coaching or mentoring engineers and sharing technical best practice
Good understanding of Power BI and the requirements of downstream reporting and semantic models
Desirable Skills
Microsoft Fabric certification, particularly DP-600 and/or DP-700
Azure Synapse experience
Dev Ops / CI-CD experience within data engineering
Experience decommissioning or replacing legacy ETL tooling such as SSIS
Experience working within complex enterprise data environments
Interviews are planned for September. Please apply today for an immediate CV review.
Kinetech is acting as a recruiter in relation to this hire. Please see our website for details on how we handle your data.