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# Associate Data Engineer

- **Company:** QinetiQ Group plc
- **Location:** Farnborough, UK
- **Salary:** £45,000.0 - £50,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Artificial Intelligence, Data Integration, Software Design Patterns, Distributed Systems, Metadata, Performance Tuning, Apache Spark, Apache Flink, Deployment Automation, Video Streaming, Stream Processing
- **Published:** November 4, 2026
- **Apply:** https://careers.qinetiq.com/talentcommunity/apply/1368799033/?locale=en_GB

## About the Role

* Previous experience as a data/platform engineer working on distributed systems in production
 * Proven hands-on experience with open-source data integration and streaming technologies and delivering configurable integration patterns (connectors, reusable components, rules, and orchestration)
 * Previous experience enabling workflow automation for technical users
 * A strong grasp of data modelling fundamentals, data contracts and schema evolution
 * Experience designing for reliability, scalability, and operability: monitoring, alerting, deployment automation, incident handling, and performance tuning
 * A practical security mindset: least privilege, auditability and designing controls that do not restrict usability, We value difference and we don't have a fixed idea when it comes to background or education, provided you can show the required level of experience and willingness to learn then we would like to hear from you.

## Description

As an Associate Data Engineer, you will further design, build and operate our secure, open, and extensible data fabric capability for Defence and National Security customers.

Day-to-day, you will create a shared "paved road" that lets teams integrate, govern, and consume data products both safely and quickly across batch, streaming and analyst-driven workflows. This includes enabling workflow automation and configurable data integration with resilient operation in Denied, Degraded, Intermittent and Limited (DDIL) communications environments supporting edge deployments.

Your responsibilities will include:

 * Designing, implementing, and evolving the event-driven data fabric architecture that enables automation and downstream AI-based systems: ingestion, integration, storage, processing, metadata, governance, and access patterns aligned to customer outcomes and security constraints
 * Supporting with building and operating workflow automation capabilities that enable repeatable, governed analyst workflows (reusable patterns, configuration-driven behaviours, and safe promotion across environments)
 * Delivering configurable data integration through curated connectors and standard patterns for transformation, routing, enrichment and correlation with clear contract and operational guardrails
 * Engineering for DDIL and edge deployments: Design Patterns for constrained connectivity, supporting appropriate local processing at edge and implementing secure configuration distribution
 * Building streaming ingestion, event pipelines, batch/stream processing workloads using both distributed event streaming technologies and Apache Flink and/or Apache Spark with clear SLA's and repeatable deployment
 * Implementing metadata, lineage and catalogue capabilities and implementing policy-based security and governance