Data Engineer — DV/eDV Clearance, Hybrid UK

Data Engineer — DV/eDV Clearance, Hybrid UK

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Forwardrole

At a Glance

  • Tasks: Design and build modern cloud-native data platforms and develop scalable ETL pipelines.
  • Company: Dynamic organisations in the National Security sector focused on innovative data engineering.
  • Benefits: Competitive salary, hybrid work options, and opportunities for professional growth.
  • Other info: Engage with multidisciplinary teams and influence technical direction in a rapidly evolving environment.
  • Why this job: Join a team that values data engineering as a core discipline and drives real impact.
  • Qualifications: Experience in data engineering, cloud platforms, and relevant technologies like Python and SQL.

The predicted salary is between 63000 - 77000 £ per year.

Active DV / eDV Clearance Hybrid opportunities across the UK £55,000 - £100,000+ depending on experience, level and clearance.

Thinking about your next move? One conversation I've been having more and more with Data Engineers is this: I enjoy the people I work with... I'm just not learning anymore. Sometimes it's legacy data warehouses that never seem to evolve. Sometimes it's spending more time fixing pipelines than building them. Sometimes it's being the only data specialist in the room. More often than not, it's simply wanting to work somewhere that's genuinely investing in modern data engineering rather than talking about it. If that sounds familiar, it might be worth reading on.

What I'm Seeing Across the Market: Having spent the last couple of years speaking with Data Engineers, Data Architects and technical leaders across the National Security community, a few themes have become impossible to ignore. The organisations attracting the strongest engineers aren't simply hiring people to move data from A to B. They're building platforms that underpin AI, machine learning and operational decision-making. Modern cloud-native data platforms are replacing fragmented legacy estates. Engineering teams are investing in automation, scalability and data products rather than endless manual processes. Most importantly, the best environments are treating Data Engineering as an engineering discipline—not a support function. That's exactly the type of organisations I choose to partner with.

The Opportunities: Rather than representing a single employer, I work closely with a carefully selected group of engineering-led organisations across the National Security sector. That includes innovative SMEs, specialist consultancies and product-focused businesses delivering secure data platforms, cloud-native engineering capability and AI-enabled solutions supporting some of the UK's most important programmes. Depending on what you're looking for, opportunities include:

  • Designing and building modern cloud-native data platforms
  • Developing scalable ETL and ELT pipelines
  • Working with AWS and Azure data services
  • Engineering platforms using technologies such as Spark, Databricks and Kafka
  • Building reliable, automated data pipelines supporting AI and Machine Learning workloads
  • Collaborating with software, cloud and platform engineers in genuinely multidisciplinary teams
  • Influencing architecture and technical direction as platforms continue to evolve

Some organisations are scaling rapidly. Others are well-established engineering businesses investing heavily in modern data capability. Some specialise in consultancy. Others offer long-term product ownership. The right move depends entirely on what you want your next few years to look like.

Clearance: Most of the organisations I support are delivering work on live National Security programmes, so active DV or eDV clearance is typically a prerequisite. That said, every so often an opportunity arises where an exceptional SC-cleared engineer—someone with the right technical background and a realistic route to higher clearance—can be brought in and sponsored. Those opportunities are limited, but they do exist, so if you're unsure where you fit, I'm always happy to have an honest conversation.

Who I'm Looking To Speak With: I'm particularly interested in speaking with engineers with experience across areas such as:

  • Data Engineering
  • Cloud Data Platforms
  • AWS and/or Azure
  • Python
  • SQL
  • Apache Spark
  • Databricks
  • Kafka
  • Data Modelling
  • ETL / ELT
  • Infrastructure as Code
  • CI/CD for data platforms

Whether your title is Data Engineer, Senior Data Engineer, Lead Data Engineer or Data Platform Engineer, I'd be happy to hear from you.

Why Speak To Me? The best engineers rarely move because somebody sends them a job description. They move because somebody understands where they want to be in two or three years' time and can introduce them to organisations that genuinely align with those ambitions. Over the last couple of years I've built relationships with many of the engineering-led organisations consistently attracting positive feedback from the engineers I've placed there. Whether you're looking for stronger technical leadership, greater ownership, better engineering culture, exposure to modern cloud-native platforms or the opportunity to work alongside exceptional people, I'll always give you an honest perspective—not simply point you towards whichever vacancy happens to be available.

Many of the engineers I've helped over the last year weren't actively looking when we first spoke. They simply wanted a better understanding of how the market was evolving before deciding whether it was time to move. Not actively looking? That's completely fine. Some of the best conversations I have each week are with engineers who simply want an honest view of the market. If you're curious about which organisations are genuinely investing in modern data platforms, how engineering cultures compare, or where the most interesting Data Engineering work is happening across the National Security community, I'm always happy to share what I'm seeing. If nothing else, you'll come away with a clearer picture of the market—even if your next move is still a year away.

Data Engineer — DV/eDV Clearance, Hybrid UK employer: Forwardrole

Forwardrole is an exceptional employer that prioritises innovation and collaboration within the engineering consultancy space, particularly in the critical field of National Security. With a hybrid work model across vibrant locations like Gloucestershire, Manchester, and London, employees benefit from a supportive work culture that fosters professional growth and offers competitive salaries, bonuses, and comprehensive benefits. Joining Forwardrole means being part of a forward-thinking team dedicated to secure software delivery, where your contributions directly impact national safety and security.

Forwardrole

Contact Details:

Forwardrole Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer — DV/eDV Clearance, Hybrid UK

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Forwardrole!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer — DV/eDV Clearance, Hybrid UK at Forwardrole.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Forwardrole.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer — DV/eDV Clearance, Hybrid UK at Forwardrole, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Engineer — DV/eDV Clearance, Hybrid UK

SQL
Python
Problem-Solving Skills
Communication Skills
Data Engineering
Data Governance
Automation

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Forwardrole, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Forwardrole. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Forwardrole

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Forwardrole!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.