AWS Data Engineer

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

Job summary

A leading data solutions firm in Bradford is seeking a proficient Data Engineer to design and implement scalable cloud-native data architectures. The successful candidate will work in a hybrid environment, collaborate with data teams, and contribute to large-scale data projects. Strong expertise in AWS data services and proficiency in SQL and Python are required. This role offers a competitive salary and a supportive environment for growth.

Benefits

Opportunity to work on large-scale, high-impact data projects

Collaborative and supportive environment

Competitive package and benefits + bonus

Qualifications

• Strong experience with AWS data services required.
• Proficiency in SQL and Python needed.
• Experience with data warehouse design and CI/CD is essential.

Responsibilities

• Design and implement scalable data architectures in the cloud.
• Lead development projects and mentor data engineering team.
• Support data scientists and analysts across the full data lifecycle.

Skills

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

SQL

Python (Pandas)

Spark or Iceberg

Data warehouse design

ETL/ELT processes

CI/CD pipelines

Tools

GitHub

CodeBuild

DBT

Docker

Microsoft BI stack

Job description

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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