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!
