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Data Engineer – AWS – SC Cleared

Job in Farringdon, London, Greater London, EC1A, England, UK
Listing for: SR2
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 500 - 525 GBP Daily GBP 500.00 525.00 DAY
Job Description & How to Apply Below
Location: Farringdon

Data Engineer – AWS – SC Cleared
SR2 Consulting have an exciting new role with a government department looking to start ASAP. You’ll be part of a new data team that’s being established to deliver a secure, scalable, cloud native data platform.  
You will work across an AWS environment, with a strong emphasis on AWS-native tooling including Glue, S3, Step Functions, Lambda, Event Bridge and other modern orchestration patterns. This role suits an engineer confident in building robust, governed, production-grade pipelines within a government-regulated environment.
Essential Skills & Experience

Strong proficiency in AWS cloud-native data engineering, including:
Glue, S3, Step Functions, Event Bridge, Lambda, SNS/SQS, IAM.
Hands-on experience designing and building data pipelines across AWS and/or Azure (Azure Data Factory, Databricks, Spark).
Strong SQL development skills and experience working with diverse datasets.
Experience implementing data quality, monitoring, and validation frameworks.
Proven ability to build scalable, secure, well-documented pipelines in cloud environments.
Valid SC clearance Desirable Skills

AWS certifications (advantageous).

Experience with real-time event-driven patterns (e.g., Event Bridge, Kinesis).
Familiarity with modern Dev Ops/CI-CD tooling and Infrastructure as Code (Terraform, CDK).
Experience supporting visualisation and BI environments.
Understanding of data governance, security baselines, and working within regulated environments.

What This Role Offers

Opportunity to shape a new data capability from the ground up.
Work in a modern, multi-cloud environment using cutting-edge AWS-native tooling.
High-impact work enabling better intelligence, reporting, and operational decision-making.
Collaboration with a multidisciplinary team across engineering, analytics, governance and delivery
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