Data Engineer: Scalable Data Platforms (SC/DV Eligible) in Farnborough

Data Engineer: Scalable Data Platforms (SC/DV Eligible) in Farnborough

Farnborough Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Support UK programmes by developing modern data products and governance.
  • Company: Leidos UK, a leader in national security and government solutions.
  • Benefits: Competitive salary, career development, and the chance to work on impactful projects.
  • Other info: Opportunity for security clearance and growth in a fast-paced environment.
  • Why this job: Join a dynamic team and contribute to national security initiatives.
  • Qualifications: Experience in data management and strong communication skills required.

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

Leidos UK is seeking Data Engineers to support UK programmes across 2026, contributing to bid and delivery efforts with modern data products and governance.

You will align with programme teams and solution engineers to deliver data-centric outcomes for national security and government-facing initiatives.

The role requires strong organisation and communication skills, a background in data management, and willingness to undergo security clearance.

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Data Engineer: Scalable Data Platforms (SC/DV Eligible) in Farnborough employer: Leidos

Leidos is an exceptional employer, offering a collaborative culture that prioritises employee growth and work-life balance. With a strong commitment to diversity and inclusion, employees are empowered to develop their skills through technical academies and career development plans, all while contributing to meaningful projects that enhance public sector services in London. The comprehensive benefits package, including a contributory pension scheme and flexible working options, further underscores Leidos' dedication to attracting and retaining top talent.

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Contact Details:

Leidos Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer: Scalable Data Platforms (SC/DV Eligible) in Farnborough

✨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 Leidos!

✨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: Scalable Data Platforms (SC/DV Eligible) at Leidos.

✨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 Leidos.

✨Apply Directly through Our Website

When you find a suitable opening like Data Engineer: Scalable Data Platforms (SC/DV Eligible) at Leidos, 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: Scalable Data Platforms (SC/DV Eligible) in Farnborough

Python
Communication Skills
Data Engineering
Problem-Solving Skills
SQL
Data Pipeline Development
API Integration

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 Leidos, 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 Leidos. 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 Leidos

✨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 Leidos!

✨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.