At a Glance
- 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: Enjoy a contract outside IR35 with hybrid work options and competitive pay.
- Why this job: Work on impactful data engineering projects 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 collaborate with cross-functional teams and enhance your skills.
The predicted salary is between 48000 - 72000 Β£ per year.
Contract Data Engineers (x3) β Defence Sector β 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
- 3+ yearsβ 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
- 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 youβre ready to work on cutting-edge data engineering projects that make a difference, get in touch to learn more.
Data Engineer ( DV Cleared ) (, , United Kingdom) employer: LHH
Contact Detail:
LHH Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Engineer ( DV Cleared ) (, , United Kingdom)
β¨Tip Number 1
Make sure to highlight your experience with the Elastic Stack in any conversations or networking opportunities. This is a key requirement for the role, and demonstrating your expertise can set you apart from other candidates.
β¨Tip Number 2
Connect with professionals in the defence sector on platforms like LinkedIn. Engaging with industry-specific groups can provide insights into the company culture and current projects, which can be beneficial during interviews.
β¨Tip Number 3
Familiarise yourself with the latest trends in data security and compliance, especially in regulated environments. Being able to discuss these topics confidently can demonstrate your commitment to best practices in data engineering.
β¨Tip Number 4
Prepare to discuss your experience with real-time data pipelines and cloud platforms during interviews. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will showcase your problem-solving skills.
We think you need these skills to ace Data Engineer ( DV Cleared ) (, , United Kingdom)
Some tips for your application π«‘
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 Apache NiFi, as well as any relevant projects you've worked on.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the job requirements. Mention your DV Clearance status and how your skills align with the responsibilities outlined in the job description. Show enthusiasm for working in the defence sector.
Highlight Relevant Skills: In your application, clearly list your technical skills related to data security, cloud platforms, and Infrastructure as Code tools. Provide examples of how you've implemented best practices in handling sensitive data.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that all information is accurate and that your application presents you in the best possible light.
How to prepare for a job interview at LHH
β¨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.
β¨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.
β¨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.
β¨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.