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- Tasks: Design and manage large-scale data pipelines in a secure environment.
- Company: Join a leading defence client in Bristol, working on mission-critical projects.
- Benefits: Contract role outside IR35 with hybrid work options and competitive pay.
- Why this job: Work on impactful projects while collaborating with cross-functional teams in a high-security setting.
- Qualifications: 3+ years as a Data Engineer with DV Clearance and expertise in the Elastic Stack.
- Other info: Opportunity to enhance skills in a regulated sector with potential for long-term contracts.
The predicted salary is between 48000 - 72000 £ per year.
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.
Data Engineer ( DV Cleared ) employer: LHH
Contact Detail:
LHH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer ( DV Cleared )
✨Tip Number 1
Make sure you highlight your existing DV Clearance in any conversations or networking opportunities. This is a crucial requirement for the role, and showcasing it early can set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with the Elastic Stack and Apache NiFi by working on personal projects or contributing to open-source initiatives. Being able to discuss your hands-on experience with these tools will demonstrate your practical knowledge during interviews.
✨Tip Number 3
Network with professionals in the defence sector through LinkedIn or industry events. Engaging with others in the field can provide insights into the company culture and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss your experience with data security and compliance in detail. Given the sensitive nature of the work, being able to articulate your understanding of best practices in these areas will be essential during interviews.
We think you need these skills to ace Data Engineer ( DV Cleared )
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, especially in secure or regulated environments. Emphasise your expertise with the Elastic Stack and any relevant projects you've worked on.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the job description. Mention your DV Clearance status and how your skills align with the responsibilities outlined, such as building data pipelines and using Apache NiFi.
Showcase Relevant Projects: Include specific examples of past projects where you designed and managed data pipelines. Detail your role, the technologies used, and the impact of your work, particularly in mission-critical settings.
Highlight Soft Skills: In addition to technical skills, emphasise your communication and stakeholder management abilities. These are crucial for collaborating with cross-functional teams, as mentioned in the job description.
How to prepare for a job interview at LHH
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the Elastic Stack, Apache NiFi, and any other relevant technologies. Bring examples of past projects where you designed and managed data pipelines, as this will demonstrate your hands-on expertise.
✨Understand Data Security Practices
Since this role involves handling sensitive data, make sure you can articulate best practices for data security, including encryption and access control. Be ready to discuss how you've implemented these practices in previous roles.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your troubleshooting skills. Prepare to share specific instances where you monitored and resolved issues in real-time data pipelines, highlighting your analytical thinking and attention to detail.
✨Communicate Effectively
Strong communication skills are essential for collaborating with cross-functional teams. Practice explaining complex technical concepts in simple terms, as this will show your ability to engage with stakeholders and ensure everyone is on the same page.
