At a Glance
- Tasks: Create and optimise data pipelines for impactful Defence & Security projects.
- Company: Leading tech firm focused on Defence & Security with a collaborative culture.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a difference in national security while working with cutting-edge data technologies.
- Qualifications: DV clearance required; experience in data engineering and strong communication skills.
- Other info: Join a dynamic team with diverse projects and excellent career advancement potential.
The predicted salary is between 36000 - 60000 Β£ per year.
City of London, United Kingdom | Posted on 05/02/2026
Contract Start Date: March 2026
Contract Length: 12 months, with potential extension
Contract Classification: Inside IR25
Contract Location: London, Bristol or Manchester with hybrid working (2/3 days in the office)
Mandatory requirement: Must have DV Clearance
Role Overview
We are proud of the impact we have with our Defence & Security clients, the strength of our relationships, and the variety of our skills and expertise that we bring to help them achieve their mission. Weβre growing our teams across all of Technology and Transformation. If you are cleared DV level, we are very keen to hear from you.
As a practitioner, you are responsible for bridging the gap between our customers' needs and technical solutions. Your primary responsibility is to make data valuable for our clients, by developing pipelines that ingest, transform, and enrich high volume and variety data into accessible, trusted information assets that can be used to derive actionable insights. In your role, you will have responsibility for deliverables and client stakeholder relationships and will be delivering solutions for our clients using agile methodologies. You will often be working in multi-disciplinary teams across a range of industries, subject matters, and locations.
Responsibilities
- Apply data engineering tools, integration frameworks, and query engines to create high quality, standardised data for downstream use cases, such as for AI and reporting.
- Design and implement high quality data pipelines and data stores, coordinating efforts with other developers and engineers.
- Bring innovation and novel approaches to solve challenging data engineering problems.
- Architect and implement for scale and complexity that provide value across many teams and consumers.
- Develop logical and physical data modeling and governance strategy, establishing standards across teams.
Required Skills & Experience
- All applicants must hold UK security clearance to Developed Vetting level.
- Distributed computing techniques like parallel processing, streaming, batch workflow orchestration that enable handling large data volumes.
- ETL, data pipelines, and automated workflows for moving and processing data.
- Optimising data systems for performance, scalability, reliability, and monitoring.
- Information security including access controls, encryption, anonymity for sensitive data assets.
- Data governance, including metadata management, data quality, and lineage tracking.
We are specifically looking for candidates with both technical and business focused skills, who can articulate the outcomes and value of their work, and have working experience in some of the following:
- End to end development experience with data pipelines, ETL processes, workflow orchestration - using core concepts that apply across tech stacks.
- Working with diverse data sources and types - batch, streaming, real-time, and unstructured.
- Systems thinking and architectural design skills for building scalable, high-performance data solutions.
- Data modelling, warehouse design, database optimization knowledge - with samples of logical/physical models that reflect proficiency.
- Deploying, and managing distributed data systems.
- Ability to monitor, troubleshoot, and tune these systems for reliability and performance.
- Coding experience that demonstrates modularity, reusability, and efficiency - across languages.
- Understanding full development lifecycle, SDLC concepts, version control, CI/CD pipelines.
- Knowledge of data security, governance, metadata management, master data principles.
- Communication skills, ability to understand business requirements and translate to technical data solutions.
Data Engineer, AI & Data, Defence & Security (DV clearance required) in City of London employer: Deloitte - Recruitment
Contact Detail:
Deloitte - Recruitment Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Engineer, AI & Data, Defence & Security (DV clearance required) in City of London
β¨Tip Number 1
Network like a pro! Reach out to your connections in the Defence & Security sector, especially those who have experience with DV clearance. A friendly chat can lead to insider info about job openings or even referrals.
β¨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data engineering projects, especially those involving ETL processes and data pipelines. This will help you stand out during interviews and demonstrate your hands-on experience.
β¨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and security. Mock interviews with friends or mentors can help you articulate your experience and skills confidently.
β¨Tip Number 4
Apply through our website! Weβre always on the lookout for talented individuals like you. By applying directly, youβll ensure your application gets the attention it deserves, especially for roles requiring DV clearance.
We think you need these skills to ace Data Engineer, AI & Data, Defence & Security (DV clearance required) in City of London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, ETL processes, and any relevant technologies. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about working in Defence & Security and how your background makes you a great fit. We love seeing enthusiasm and a personal touch.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! Whether it's a data pipeline you built or a complex problem you solved, we want to see examples of your work that demonstrate your skills.
Apply Through Our Website: Don't forget to apply through our website! Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy to do!
How to prepare for a job interview at Deloitte - Recruitment
β¨Know Your Data Engineering Tools
Make sure you brush up on the specific data engineering tools and technologies mentioned in the job description. Be ready to discuss your hands-on experience with ETL processes, data pipelines, and any relevant frameworks. This shows youβre not just familiar with the concepts but have practical knowledge that can be applied.
β¨Demonstrate Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenging data engineering problems in the past. Think about innovative solutions you've implemented and how they added value to your previous projects. This will highlight your ability to think critically and creatively, which is crucial for this role.
β¨Understand the Importance of Data Governance
Since data governance is a key aspect of the role, be ready to discuss your understanding of data quality, lineage tracking, and metadata management. Bring examples of how you've ensured data integrity and security in your previous work, as this will demonstrate your commitment to best practices.
β¨Communicate Effectively
Practice articulating complex technical concepts in a way thatβs easy to understand. Youβll need to bridge the gap between technical solutions and business needs, so being able to communicate clearly with stakeholders is essential. Prepare some scenarios where you successfully translated technical jargon into actionable insights for non-technical audiences.