At a Glance
- Tasks: Design and implement scalable data services while ensuring data integrity across systems.
- Company: Join Leonardo, a global leader in Aerospace, Defence, and Security.
- Benefits: Enjoy flexible working, generous leave, and a comprehensive benefits package.
- Why this job: Make a real impact by working on innovative data solutions in a collaborative environment.
- Qualifications: Experience in data engineering, strong problem-solving skills, and familiarity with programming languages.
- Other info: Access 4,000+ online courses for continuous learning and career growth.
The predicted salary is between 30000 - 50000 £ per year.
Your impact
At Leonardo we are looking for an experienced Software Engineer (Data team). You will design and implement core, reusable data services that ensure high performance and scalability across the organization. A primary focus is on integrating new, highly scalable persistence layers with complex existing/legacy systems while guaranteeing data integrity and consistency.
What You’ll Bring
To succeed in this position, you should have strong problem-solving skills and the ability to combine data from different sources. The engineering skills include familiarity with several programming languages.
- Lead the architecture and implementation of scaling strategies for diverse data stores, including sharding relational (SQL) and horizontal scaling for NoSQL databases.
- Design and build reusable Data Access Layers (DALs) to enforce standardised data interaction, security, and quality across all application services.
- Apply deep expertise in data modelling (Relational, Document, Graph) to select and optimise the correct database technology for specific product use cases.
- Design and implement secure, asynchronous mechanisms (e.g., Kafka, RabbitMQ) for consuming, translating, and migrating data from legacy systems into modern data models.
- Develop robust migration strategies and tooling for performing large-scale data movements and system retrofits with near zero downtime.
- Define and govern internal data APIs (REST, gRPC) to provide a consistent, high-performance interface, abstracting the multi-database complexity.
Integration & Messaging
Strong experience with message brokers (e.g., Kafka, SQS) for building event-driven and decoupled integration patterns. Collaborate with data scientists, IT and architects on several projects.
About You
Successful Candidates will have previous experience as a data or software engineer in a similar role. Attributes required include:
- Technical expertise in designing, building, and maintaining data pipelines, data warehouses, and leveraging data services.
- Expert-level, hands-on experience in the design, tuning, and scaling of SQL (e.g., PostgreSQL) and diverse NoSQL (e.g., MongoDB, Cassandra) environments.
- Proficient in DataOps methodologies and tools, including experience with CI/CD pipelines, containerisation, and workflow orchestration.
- Proficiency in a high-performance backend language (e.g., Go, Java, Python) and demonstrated track record in managing large-scale system retrofitting and data migrations.
- Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.)
- Degree in STEM, or similar field; a Master’s is a plus.
- Data engineering certification (e.g IBM Certified Data Engineer) is a plus.
This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn.
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, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).
Why join us
At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work–life balance. Whether you’re looking to grow professionally, care for your health, or plan for the future, we’re here to help you thrive.
- Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year.
- Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution.
- Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity.
- Rewarding Performance: All employees at management level and below are eligible for our bonus scheme.
- Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning.
- Refer a friend: Receive a financial reward through our referral programme.
- Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more.
- Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.
For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team—they are key contributors to shaping innovation, advancing technology, and enhancing global safety.
At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.
Be part of something bigger - apply now!
Primary Location: GB - Edinburgh
Contract Type: Permanent
Hybrid Working: Hybrid
Software Engineer (Data) in Edinburgh employer: Leonardo
Contact Detail:
Leonardo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (Data) in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to current employees at Leonardo on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Practice coding challenges and be ready to discuss your past projects. We want to see how you tackle real-world problems!
✨Tip Number 3
Show off your passion for data engineering! Share your personal projects or contributions to open-source software during interviews. It’s a great way to demonstrate your skills and enthusiasm.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest job openings there.
We think you need these skills to ace Software Engineer (Data) in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in data services, programming languages, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our needs. Don’t forget to mention any experience with data modelling or integration that makes you stand out.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love candidates who can think critically and come up with innovative solutions, so don’t hold back on sharing your success stories!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Leonardo
✨Know Your Data Stuff
Make sure you brush up on your data engineering skills, especially around SQL and NoSQL databases. Be ready to discuss your experience with data pipelines, data modelling, and any specific technologies mentioned in the job description, like PostgreSQL or MongoDB.
✨Showcase Problem-Solving Skills
Prepare to share examples of how you've tackled complex data integration challenges in the past. Think about specific projects where you had to combine data from different sources or implement scaling strategies, and be ready to explain your thought process.
✨Familiarise Yourself with Tools
Get comfortable with the tools and methodologies listed in the job description, such as Kafka, CI/CD pipelines, and DataOps practices. If you have experience with Big Data Processing Tools like Spark or Airflow, make sure to highlight that during the interview.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team, projects, and company culture at Leonardo. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to learn more about their approach to data engineering.