Lead Data Engineer

• Lead the design and delivery of modern cloud-based data platforms using Microsoft Fabric, Azure and AWS technologies.
• Architect scalable, secure and maintainable data solutions for a variety of clients.
• Design, build and optimise high-performance ETL/ELT pipelines.
• Develop robust data models, lakehouse and warehouse solutions using industry best practices.
• Provide technical leadership across projects, ensuring high standards of engineering quality.
• Mentor and support Data Engineers through coaching, code reviews and knowledge sharing.
• Collaborate with clients and internal stakeholders to understand business requirements and translate them into technical solutions.
• Define and promote engineering standards, governance and best practices.
• Lead technical discussions, solution workshops and architecture reviews.
• Troubleshoot complex data issues and identify opportunities for optimisation.
• Support project planning, estimation and technical decision-making.
• Stay up to date with emerging technologies and help drive innovation across the business.

Technologies:

• AWS
• Architect
• Azure
• Cloud
• Databricks
• ETL
• Fabric
• Support
• MySQL
• PostgreSQL
• Power BI
• Python
• PySpark
• SQL
• Security, We specialise in delivering data-driven solutions that optimise processes and improve decision-making for businesses of all sizes, from startups to enterprises. We use cutting-edge technology including Azure, AWS, Power BI and advanced ETL pipelines to simplify data consolidation, strategy and visualisation. We provide reduced manual dependencies and scalable, dynamic long-term solutions tailored to client needs. This is a full-time remote Lead Data Engineer role for UK-only candidates, with a 9-month fixed-term contract and a salary of £50,000 to £60,000 DOE. The role is hands-on and leadership-focused, based remotely with hybrid remote working in Doncaster.

• Extensive experience in data engineering, designing and delivering enterprise-scale data platforms.
• Strong experience with Microsoft Fabric, Azure Synapse Analytics and/or Databricks.
• Excellent understanding of data architecture, modern lakehouse and warehouse design principles.
• Strong expertise in ETL/ELT development and optimisation.
• Experience designing scalable data models for analytics and reporting.
• Strong SQL skills across Microsoft SQL Server, PostgreSQL or MySQL.
• Experience with cloud-native data services within Azure and/or AWS.
• Experience developing solutions using Azure Data Factory or Microsoft Fabric Data Factory.
• Strong Power BI knowledge, including understanding downstream reporting requirements.
• Experience with Python and/or PySpark.
• Excellent understanding of data governance, security and performance optimisation.
• Strong communication skills with the ability to engage both technical and non-technical stakeholders.
• Proven ability to lead technical delivery across multiple projects.
• Experience mentoring or leading other engineers.