Data Engineer

Build the pipelines. Shape the platform. See the impact.

Enzo Tech Group is hiring an AWS Data Engineer for a client undertaking a cloud data modernisation programme.

You’ll play a key role in moving data from existing systems into a modern AWS data lake, building the pipelines and automated workflows that make the platform reliable, scalable and ready for use.

If you enjoy hands‑on Python development, solving complex ingestion challenges and influencing how a data platform takes shape, this opportunity is worth a conversation.

You’ll work across data ingestion, migration and orchestration, helping turn raw source data into trusted, usable datasets. Alongside delivering pipelines, you’ll identify improvements, troubleshoot engineering challenges and collaborate with the wider team to meet migration milestones.

• Designing, building and maintaining ingestion pipelines using Python and AWS Glue
  .
• Migrating data from existing systems into an Amazon S3 data lake
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• Developing event‑driven processing and automated workflows with AWS Lambda and Step

• Implementing medallion architecture
  , organising data into bronze, silver and gold layers.
• Validating migrated data for accuracy, completeness and consistency.
• Investigating failed jobs, resolving pipeline issues and improving performance and reliability.
• Using dbt or Dagster to support transformation or orchestration, depending on your experience.
• Working with engineers and stakeholders to deliver against project milestones and improve the platform as it develops.

• Strong, practical Python engineering skills
  , including writing and debugging production code.
• Hands‑on experience with AWS Glue, Lambda, Step Functions and S3
  .
• A track record of building data ingestion pipelines and ETL/ELT workflows
  .
• Experience migrating data into cloud data lakes.
• An understanding of medallion architecture and layered data platforms
  .
• Experience with dbt or Dagster and a clear understanding of how you’ve used them.
• A proactive approach to problem‑solving and ownership of delivery.

Experience with large‑scale migrations or AI‑assisted development tools would be a bonus.

• Build something that matters: contribute directly to a cloud data transformation.
• Influence the platform: help shape how data is ingested, organised and made available.
• Stay close to the engineering: a role centred on coding, automation and technical problem‑solving.
• Work remotely: fully remote working.
• Keep the process straightforward: two interview stages.