MR

Lead Data Engineer

Salary
£95K–£105K
Hiring from
United Kingdom
Work type
Hybrid
Posted

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Lead Data Engineer | £95,000 - £105,000 | Manchester or Warrington (Hybrid)


We're looking for a Lead Data Engineer to take ownership of the technical direction and continued development of a growing data platform.


A major part of the role will be leading the technical delivery of a large-scale data warehouse migration, moving an existing on-premise SQL Server environment towards a modern AWS-based lakehouse architecture.


You'll play a key role in shaping the platform's architecture, establishing engineering standards and driving improvements across data processing, streaming and overall platform performance.


This is a genuinely hands-on technical leadership position. You'll have the autonomy to make architectural decisions, challenge existing approaches and guide the wider engineering team, while remaining close to the code and day-to-day technical delivery.


What You'll Be Doing


  • Leading the technical delivery of a major data warehouse migration from on-premise SQL Server to an AWS-based lakehouse.
  • Defining the architecture, engineering standards and design patterns for the wider data platform.
  • Designing and developing scalable batch and real-time data processing solutions.
  • Building and improving data pipelines, ensuring they are reliable, efficient and maintainable.
  • Developing real-time streaming capabilities to significantly reduce data processing and reporting latency.
  • Establishing best practices around data modelling, data quality, validation and platform observability.
  • Taking ownership of infrastructure-as-code and CI/CD standards across the platform.


What We're Looking For


  • Significant experience in Data Engineering, with a proven track record of leading large-scale data platform or data warehouse migrations.
  • Deep, hands-on experience with AWS data services, particularly Glue, Lambda, S3, Redshift and EMR.
  • Advanced Python, PySpark and SQL skills.
  • Proven experience building and operating real-time streaming architectures using Apache Kafka or Amazon MSK.
  • Strong understanding of data warehousing, data modelling and modern lakehouse architecture.
  • Experience with open table formats such as Apache Iceberg or Delta Lake.
  • Experience with infrastructure-as-code, ideally Terraform, alongside CI/CD and pipeline orchestration.


If interested, please apply or reach out directly for a confidential chat!

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