Salary: £60000 – £90000/annum
Permanent – Full Time
IT
Newark, Nottinghamshire
date posted: 2026-04-28 17:18:15
Data Engineering Lead
Newark – Flexible Hybrid Working
Permanent
Package: up to 90’000k
We are recruiting for an experienced Data Engineering Lead, working for one of the UK’s leading technology and cloud services providers, as they continue to invest in a modern, scalable Microsoft Fabric data platform.This role owns the end€‘to€‘end data engineering architecture – from ingestion and lakehouse design to enabling trusted, self€‘service analytics across the organisation. You will lead a small engineering team, define technical standards, and work closely with senior stakeholders to ensure data underpins strategic and operational decision€‘making.
Role Purpose
To take ownership of the organisation’s data platform architecture and delivery, ensuring reliable, scalable ingestion pipelines, a well€‘designed data warehouse, and high€‘quality analytics products. The role combines hands€‘on technical leadership with people management and cross€‘business collaboration.
Key Responsibilities
Data Platform & Architecture
Own the data warehouse schema, lakehouse design, and core data models
Translate business requirements into pragmatic, scalable data architecture decisions
Define, implement, and maintain data contracts aligned to business domains
Establish data quality, observability, and SLA frameworksEngineering Delivery
Design and evolve scalable data pipelines (batch and incremental watermark€‘based ingestion) using:
Microsoft Fabric Pipelines
Azure Data Factory
PySpark / Python Fabric Notebooks
Implement and maintain a medallion lakehouse architecture using OneLake and Fabric Warehouses
Ensure Direct Lake-ready semantic models for analytics
Lead incident management, root cause analysis, and data issue post€‘mortemsAnalytics Enablement
Enable self€‘service analytics through governed Power BI datasets
Support and guide the production of trusted Power BI reporting using data contractsLeadership & Ways of Working
Define engineering standards and review pull requests
Mentor and develop 2-4 data and cloud engineers
Drive the data and warehouse roadmap alongside the Digital Transformation Director
Champion CI/CD, secure secret management, and software engineering best practicesRole Objective
Deliver and continuously refine a Microsoft Fabric data warehouse supporting business€‘led decision making
Integrate data from diverse sources including APIs, files, databases, and cloud platforms
Establish data contracts as a core mechanism for trusted analytics
Scale Power BI reporting using standardised, high€‘quality data products
Provide clear, motivating leadership to direct reports
Conduct regular 1:1s, performance reviews, and development planning
Recruit, onboard, and develop a high€‘performing data engineering team
Ensure compliance with company policies, legal obligations, and operating proceduresExperience & Technical Skills
Senior€‘level experience in data engineering roles
Experience leading or mentoring data engineers
Hands€‘on experience with Microsoft Fabric, including: Workspaces, OneLake, Fabric Warehouses, Fabric Notebooks and Data Pipelines and Direct Lake semantic models
Strong Python and PySpark development capability
Solid SQL skills for warehouse development and metadata layers
Proven ownership of production data systems end€‘to€‘end
Wider Azure data platform experience (e.g. Synapse, Databricks)
CI/CD pipelines within Azure and Fabric
Azure Key Vault or similar secret management
Experience in telecoms or cloud€‘focused environments
Strong understanding of dimensional modelling and medallion architecture
Experience integrating REST APIs, SFTP, and cloud€‘based data sources
Ability to communicate technical trade€‘offs to non€‘technical stakeholders
Excellent troubleshooting, prioritisation, and delivery focusECS Resource Group are an Equal Opportunity Employer, for more information please click the following link: (url removed) In accordance with the Equality Act 2010, if you require an alternative form of application please click the following link: Flexible Application Process – (url removed)/work/flexible-application-process
