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AWS Cloud Data Engineer

Remote / Online - Candidates ideally in
Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: Capgemini
Remote/Work from Home position
Listed on 2026-07-06
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 50000 - 70000 GBP Yearly GBP 50000.00 70000.00 YEAR
Job Description & How to Apply Below

Job Title

AWS Cloud Data Engineer

Location

Glasgow

Overview

An AWS Cloud Data Engineer designs, builds, and maintains scalable data architectures and pipelines using Amazon Web Services. Their primary goal is to ensure large volumes of structured and unstructured data are securely ingested, transformed, and stored so data scientists and analysts can easily access them for business decision-making.

Hybrid Working

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role
  • Build and maintain data models using dbt.
  • Write complex SQL transformations to clean and structure data.
  • Develop modular, reusable data pipelines.
  • Implement data testing and validation (e.g., schema tests, data quality checks).
  • Manage data documentation and lineage within DBT.
  • Design and develop scalable data pipelines using Databricks and Apache Spark.
  • Build and optimize data workflows for batch and real-time processing.
  • Transform and process large datasets using PySpark, SQL, and Delta Lake.
  • Implement data ingestion from multiple sources (APIs, streaming, databases).
Your Skills
  • Python proficiency.
  • AWS:
    Cloud Formation, Service Catalog, IAM, S3, Glue, Lambda, Knowledge python SDK, boto, EKS, ECS, VPC, Subnets, NACLs.
  • Terraform:
    Modules, providers, Terraform Enterprise, Snowflake Terraform provider knowledge.
  • Snowflake:
    Snow Sight, Python SDK for Snowflake, Stage, storage integration, Data marketplace, direct shares, listings, Catalog linked database, Apache Iceberg, external tables, Catalog integrations, Snowpipe, external volume, Cortex AI, Private link.
  • Airflow: DAG creation, operators, connections, deployment on Kubernetes, Astronomer.
  • DBT.
Disability Confident Employer

Capgemini is proud to be a Disability Confident Employer (Level
2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role. Please opt in during the application process.

Make It Real
  • You will be joining an accredited Great Place to work for wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce as a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained Mental Health Champions across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
  • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's ‘learning for life’ mindset, meaning you will have countless training and development opportunities from think tanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.
  • You will be joining one of the World's Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
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