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Data Engineer

Searchability NS&Dlondon, london🇬🇧United KingdomPosted 28 May 2026

Why This Role Stands Out

Leverage your AWS and data engineering expertise to design and build cutting-edge cloud data solutions for a leading national security consultancy, with a competitive salary of up to £85,000 plus bonuses. This on-site role offers significant growth potential within a rapidly expanding team, making it ideal for a skilled professional eager to drive impactful innovation. Apply now to shape the future of data platforms in a highly reputable organization.

Quick Overview

Salary
£85k/yr
Work Type
On Site
Level
Mid Senior

Job Description

New Permanent Opportunity for an eDV Cleared Data Engineer with AWS Cloud Experience for a leading National Security Consultancy in London.


  • Up to £85,000 DoE plus bonuses
  • Active eDV required
  • London Location – full-time on-site when required
  • Expertise required in AWS, Data Pipelines, ETL, Data Storage, and DevOps methodologies


Role Overview:

This role sits within our client’s rapidly growing Cloud Data Platforms team, part of the Insights and Data Global Practice. You will join a multidisciplinary group of data and platform specialists who deliver modern cloud-based transformation for clients across a range of sectors. In this role, you will design and build data pipelines, develop ETL/ELT processes, and create innovative data solutions using the latest cloud technologies and frameworks across AWS.


Some responsibilities include:

  • Build data pipelines to ingest, process and transform data for analytics and reporting.
  • Develop ETL/ELT workflows to move data efficiently into data warehouses, data lakes and lake houses using open-source and AWS tooling.
  • Apply DevOps practices, including CI/CD, infrastructure as code and automation, to improve and streamline data engineering processes.
  • Design effective data solutions that meet complex business needs and support informed decision-making.


Experience Required:

  • Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions.
  • Skilled in modern programming, particularly Python, Java, Scala and PySpark.
  • Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop.
  • Experience building and managing AWS data lakes on S3 for both structured and unstructured data.


What happens next?

To apply, please either click online or email directly to For further information, please call or . By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only. You may also connect with the hiring manager on LinkedIn by searching for their name. They look forward to hearing from you.

Skills

DynamoDB
Express
Scala
AWS
ETL
Hadoop
Java
Python
Redshift

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