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Data engineering lead

Newark
Ecs Recruitment
Engineering
Posted: 4 May
Offer description

Data Engineering Lead


Scroll down for a complete overview of what this job will require Are you the right candidate for this opportunity

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 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 frameworks

Engineering 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-mortems

Analytics Enablement

* Enable self-service analytics through governed Power BI datasets
* Support and guide the production of trusted Power BI reporting using data contracts

Leadership & 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 practices

Role 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 procedures

Experience & Technical Skills

* Senior-level experience in data engineering roles
* Experience xxuwjjq 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 focus

ECS Resource Group are an Equal Opportunity Employer, for more information please click the following link:

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