Senior Data Engineer - Manchester (Hybrid) - £80,000 + bonus
The Company
Our client is undergoing a significant digital transformation, modernising their data platform to better support high-volume, real-time products and analytics. This is a great opportunity to join a platform team at a pivotal moment, helping shape how data is engineered, processed, and consumed across the organisation.
The Role
This is a hands-on Senior Data Engineer role for someone who enjoys solving complex problems across the data landscape. You'll work closely with platform engineers, analysts, and data scientists to build scalable, reliable data pipelines and modernise the existing data estate.
You'll play a key part in the migration of an existing data warehouse from on-prem SQL Server into AWS, contributing to the design of lakehouse and data warehousing solutions that support high-transactional, high-volume use cases. Alongside delivery, you'll help raise standards across the data platform, contributing to shared tooling, best practice, and mentoring more junior engineers where needed.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes using AWS services including Glue, Lambda, and S3.
- Support the migration of an existing data warehouse into AWS and Redshift.
- Design and implement data quality checks, validation, and monitoring.
- Contribute to modern data lakehouse and data warehousing architecture.
- Work closely with analysts and data scientists to enable advanced analytics and machine learning workloads.
- Investigate and resolve data quality issues and performance bottlenecks.
- Maintain clear data documentation and operational processes.
- Contribute to platform standards, patterns, and continuous improvement.
- Provide technical guidance and mentoring to junior engineers when required.
The successful candidate will have a blend of the following skills:
- Significant commercial experience (5+ years) as a Data Engineer in high-volume, high-transactional environments.
- Strong Python (or Scala) skills for data processing and pipeline development.
- Hands-on experience with AWS, particularly Glue, Lambda, and S3.
- Strong SQL skills and experience working with data warehouses.
- Solid understanding of ETL / ELT design and data pipeline optimisation.
- Experience with big data frameworks such as Apache Spark, and exposure to streaming technologies like Kafka.
- Strong problem-solving skills and the ability to collaborate effectively across teams.
What's on offer:
- Opportunity to influence the architecture and refactoring of their new platform
- Training and development opportunities
- Salary of £80,000
- Enrolment onto the company bonus scheme
- Enhanced company pension
If you're interested in this role, submit your application to be considered or reach out for further information.
Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
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