At a Glance
- Tasks: Design and build secure data solutions while collaborating with a dynamic team.
- Company: Join Leonardo UK, a leader in innovative technology and secure systems.
- Benefits: Enjoy generous leave, flexible working, and access to 4,000+ online courses.
- Other info: Great opportunities for growth and a supportive, inclusive work environment.
- Why this job: Kickstart your career in data engineering and make a real impact.
- Qualifications: Fundamentals in data engineering, programming skills in Python and SQL.
The predicted salary is between 37318 - 50000 £ per year.
- Salary
- Salary
Leonardo UK operates a grade‑based salary framework with broad bands.
The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market.
Exceptions above the standard range are managed through governance controls to protect internal equity.
About the Role
Are you ready to start your career in data engineering and support solutions that underpin secure, high‑integrity systems and services?
At Leonardo UK, our Data Engineer Technicians assist with data workflows, automation, and integration under the guidance of experienced engineers.
Your work will see you take the lead in solving customer problems in an agile, innovative, and team‑centric manner.
- What You’ll Do
- Assist in designing and building secure, scalable data solutions under guidance, progressing to independent tasks.
- Develop tools for data‑driven insights and task automation.
- Research and train in emerging technologies.
- Work with cloud platforms and diverse operating systems.
- Support development and deployment of machine learning models.
- Collaborate with Dev Ops Engineers, Data Scientists, Analysts and Cyber Consultants.
- Leverage big data technologies and orchestration tools.
- Document processes and maintain configuration records.
- Participate in team meetings and knowledge‑sharing sessions.
Requirements & Qualifications
- Core Areas (must have)
- Data engineering fundamentals – ETL, pipelines.
- Programming – Python, SQL.
- Cloud and orchestration exposure.
- Documentation and compliance awareness.
- Collaboration and communication skills.
Desirable
- Degree in STEM, Data, AI or Programming‑related field.
- Experience with Docker and APIs.
- Familiarity with CI/CD practices.
- Interest in Agile and Dev Ops practices.
- Exposure to big data tools (e. g., Spark, Hadoop, Ni Fi).
- Understanding of ML algorithms and deployment.
- Security Clearance
This role is subject to pre‑employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS).
An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply and could include meeting the eligibility requirements for the Security Check (SC) or Developed Vetting (DV).
For more information and guidance please visit: https://careers. uk. leonardo. com/gb/en/security-and-vetting
Benefits
- Generous leave with opportunity to accrue up to 12 additional flexi‑days each year.
- Pension scheme with up to 15% employer contribution.
- Free access to mental health support, financial advice, and employee‑led networks championing inclusion and diversity.
- Eligibility for a bonus scheme for employees at management level and below.
- Free access to 4,000+ online courses via Coursera and Linked In Learning.
- Referral programme – receive a financial reward for referring a friend.
- Flexible benefits up to £500 annually (private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships, etc.).
- Flexible working hours with hybrid working options.
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Junior Data Engineer employer: Leonardo UK Ltd
Leonardo UK Ltd is an exceptional employer, offering a dynamic work environment in Basildon where innovation meets collaboration. With a strong focus on employee growth, you will benefit from generous leave, flexible benefits, and opportunities to advance your career while working on cutting-edge defence technologies that make a real impact globally.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Leonardo UK Ltd when you're aiming for that entry-level role.
✨Join Data Science Meetups
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Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Leonardo UK Ltd’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Leonardo UK Ltd, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Leonardo UK Ltd aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
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How to prepare for a job interview at Leonardo UK Ltd
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
