About the role
Data Engineering Lead
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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 xwzovoh 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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