National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer ( DV Cleared )

LHH
Coventry
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Contract Data Engineers (x3) – Defence Sector – Bristol


Outside IR35 | DV Clearance Required


Location: Bristol (Onsite/Hybrid) | Contract Duration: 6-12 months+


We are recruiting three experienced Data Engineers for a leading defence client in Bristol.


This is a contract opportunity operating outside IR35, offering a chance to work in a high-security, mission-critical environment.You must already hold UK DV Clearance,


Key Responsibilities:


  • Design, develop, and manage complex, large-scale data pipelines in secure or regulated environments
  • Ingest, process, index, and visualise data using the Elastic Stack (Elasticsearch, Logstash, Kibana)
  • Build and maintain robust data flows with Apache NiFi
  • Implement best practices for handling sensitive data, including encryption, anonymisation, and access control
  • Monitor and troubleshoot real-time data pipelines to ensure high performance and reliability
  • Write efficient, secure scripts and code using Python, Bash, or similar languages
  • Collaborate with cross-functional teams to meet technical and operational requirements


Essential Skills and Experience:


  • 3+ years’ experience as a Data Engineer in secure, regulated, or mission-critical environments
  • Proven expertise with the Elastic Stack (Elasticsearch, Logstash, Kibana)
  • Solid experience with Apache NiFi
  • Strong understanding of data security, governance, and compliance requirements
  • Experience building real-time, large-scale data pipelines
  • Working knowledge of cloud platforms (AWS, Azure, or GCP), particularly in secure deployments
  • Experience using Infrastructure as Code tools
  • Excellent communication and stakeholder management skills
  • Detail-oriented with a strong focus on data accuracy, quality, and reliability


Desirable (Nice to Have):


  • Background in defence, government, or highly regulated sectors
  • Familiarity with Apache Kafka, Spark, or Hadoop
  • Experience with Docker and Kubernetes
  • Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK
  • Understanding of machine learning algorithms and data science workflows
  • Proven ability to deliver end-to-end data solutions
  • Knowledge of Terraform, Ansible, or similar IaC tools


Interested?


If you're ready to work on cutting-edge data engineering projects that make a difference, get in touch to learn more.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.