Data Engineering Lead

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