AWS Data Engineer

JR United Kingdom; Leeds; On-site; GBP 50,000 - 60,000; Full time

Job summary

A dynamic data solutions company in Leeds is seeking an AWS Data Engineer to join their growing team. You will design and maintain cloud-native data platforms while collaborating across teams to deliver high-impact data projects. Ideal candidates should have strong experience with AWS data services, SQL, and Python. This role offers a flexible hybrid working model and a competitive salary up to £60K.

Benefits

Competitive package and benefits

Bonus opportunity

Collaborative work environment

Qualifications

• Strong experience with AWS data services is essential.
• Proficiency in SQL and Python is required.
• Experience with data modeling and cloud deployments is crucial.

Responsibilities

• Design and implement scalable data architectures in the cloud.
• Work across the full data lifecycle, supporting data teams.
• Lead development projects and mentor other engineers.

Skills

AWS data services (S3, Redshift, Glue, Lambda)

SQL

Python (Pandas)

Spark or Iceberg

Data warehouse design

ETL/ELT

CI/CD pipelines (GitHub, CodeBuild)

Infrastructure as code

Tools

Docker

Microsoft BI stack

Job description

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AWS Data Engineer, leeds, west yorkshire

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Client:

Corecom Consulting

Location:

leeds, west yorkshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

26.08.2025

Expiry Date:

10.10.2025

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Job Description:

AWS Data Engineer – Leeds / Hybrid - Upto £60K

We’re looking for a Data Engineer to join a growing data team and play a key role in designing, building, and maintaining cloud-native data platforms. The role is based in Leeds (2 days per week on-site) with flexibility for hybrid working.

The role:

• Design and implement scalable data architectures in the cloud, ensuring secure and reliable data pipelines.
• Work across the full data lifecycle, supporting data scientists, analysts, and engineering teams.
• Lead development projects, data modelling, and cloud data platform deployments.
• Mentor data engineers and contribute to best practices across the team.
• Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation).
• Proficiency in SQL, Python (Pandas), Spark or Iceberg.
• Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild).
• Knowledge of infrastructure as code, performance tuning, and data migration.
• Exposure to DBT, Docker, or Microsoft BI stack is a plus.

What’s on offer:

• Opportunity to work on large-scale, high-impact data projects.
• A collaborative, supportive environment with scope to grow and influence data practices.
• Competitive package and benefits + bonus