Lead Data Engineer

TL;DR

Lead Data Engineer (Cloud): Own and lead the technical architecture and delivery of scalable data engineering solutions for high-profile clients with an accent on data pipelines, platforms, and warehousing. Focus on designing robust ETL/ELT processes, optimizing performance and scalability, and promoting best practices for data quality, governance, and security.

Location: Leeds - Hybrid

Salary: £80,000 to £100,000

Company

Consultancy delivering data solutions across industries for high-profile clients.

What you will do

• Own technical architecture and delivery of scalable data platforms and pipelines.
• Provide leadership, mentorship, and hands-on work on complex engineering components.
• Design and manage data pipelines, warehousing, and transformation frameworks.
• Collaborate with clients, analysts, and engineers to translate needs into solutions.
• Shape processes, tooling, best practices, and engineer development.
• Contribute to technical communities and quality forums.

Requirements

• Proven experience designing and delivering scalable cloud-based data solutions.
• Expertise with Azure (Data Factory, Synapse), AWS (Redshift, Glue), or GCP (BigQuery, Dataflow).
• Advanced SQL skills including optimisation and performance tuning.
• Strong ETL/ELT pipelines and data transformation experience.
• Programming in Python, Scala, or Java for data processing.
• Deep knowledge of data warehousing, production pipelines, Agile, and stakeholder management.

Culture & Benefits

• Competitive salary and benefits including healthcare.
• Continuous professional development and technical growth opportunities.
• Diverse projects building technical and consulting expertise.
• Mentorship and leadership in a collaborative engineering community.