Data Engineer

Data Engineer

We are looking for an experienced Data Engineer to join a major data transformation programme on an initial 3-month contract.

This is a hands-on role for someone who enjoys building robust, scalable data platforms and pipelines. You will work as part of a wider technical delivery team, helping to develop a modern AWS-based data environment that supports enterprise reporting, analytics and operational decision-making.

The successful candidate will ideally be able to attend the Leeds office one day per week. However, flexible arrangements can be discussed for the right person.

The role

You will play a key part in designing, building and improving cloud-based data solutions. This will include developing data pipelines, integrating data from multiple systems and helping to create trusted, well-governed datasets for reporting and analytics.

You will work closely with Data Architects, Analysts, Developers and other technical stakeholders to turn business and technical requirements into practical, scalable solutions.

Key responsibilities

Design and build scalable data lake and data warehouse solutions on AWS.

Develop data ingestion, transformation and storage pipelines to support reporting, analytics and operational use cases.

Work with AWS services including S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge.

Implement Bronze, Silver and Gold data layers using Medallion Architecture principles.

Build and maintain ETL/ELT pipelines across batch, streaming and Change Data Capture (CDC) workloads.

Develop reusable transformation frameworks, data models and curated datasets using Python, SQL and dbt.

Support data migration and integration activity across a range of source and target systems.

Build integrations using APIs, messaging technologies and file-based ingestion methods.

Implement data validation, reconciliation and error-handling processes to improve data quality.

Support data governance, lineage, security and audit requirements.

Help automate deployments and infrastructure using Terraform or CloudFormation.

Contribute to CI/CD pipelines using GitHub Actions or similar tooling.

Improve monitoring and operational support using tools such as CloudWatch and Splunk.

Produce clear technical documentation for pipelines, mappings, transformations and data flows.

Promote good engineering practice, automation, standardisation and continuous improvement.

About you

You...