Data Engineer - AWS - SC Cleared
Role details
Job location
Tech stack
Job description
You will work across an AWS environment, with a strong emphasis on AWS-native tooling, including Glue, S3, Step Functions, Lambda, EventBridge and other modern orchestration patterns. This role suits an engineer confident in building robust, governed, production-grade pipelines within a government-regulated environment., * 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.
Requirements
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Strong proficiency in AWS cloud-native data engineering, including: Glue, S3, Step Functions, EventBridge, Lambda, SNS/SQS, IAM.
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Hands-on experience designing and building data pipelines across AWS and/or Azure (Azure Data Factory, Databricks, Spark).
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Strong SQL development skills and experience working with diverse datasets.
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Experience implementing data quality, monitoring, and validation frameworks.
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Proven ability to build scalable, secure, well-documented pipelines in cloud environments.
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Valid SC clearance (transferable).
Desirable Skills
- AWS or Azure certifications (advantageous).
- Experience with Real Time event-driven patterns (eg, EventBridge, Kinesis).
- Familiarity with modern DevOps/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.