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LHH

Data Engineer

On site

Bristol, United kingdom

Freelance

06-05-2025

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Expired

Job Specifications

Contract Data Engineers (x3) – Defence Sector – Bristol

Inside IR35 | DV Clearance Required or Willing to Undergo

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 inside IR35, offering a chance to work in a high-security, mission-critical environment. You must already hold UK DV Clearance, or be eligible and willing to undergo the vetting process.

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.

About the Company

Welcome to LHH! We're a global leader in HR solutions that future-proofs organizations and careers worldwide. Our Advisory, Career Transition & Mobility, Leadership Development, and Recruitment Solutions enable transformation, and our job is never done because there’s always another tomorrow to prepare for. We make a difference to everyone we work with, and we do it with local expertise, backed by a global infrastructure and industry-leading technology. Our over 8,000 colleagues and coaches span 66 countries worldwide, ... Know more