At a Glance
- Tasks: Design and optimise data structures for impactful Business Intelligence and analytics.
- Company: Join Leonardo, a global leader in Aerospace, Defence, and Security.
- Benefits: Enjoy flexible working, generous leave, and a comprehensive benefits package.
- Other info: Be part of a diverse team committed to creativity and innovation.
- Why this job: Shape enterprise data and drive innovation with cutting-edge technology.
- Qualifications: Strong knowledge of data modelling and experience with SQL and BI platforms.
The predicted salary is between 53000 - 71000 £ per year.
Salary Range: £53,000 - £71,000
Your Impact
At Leonardo UK, you’ll play a key role in shaping the foundations of enterprise-wide data and analytics capabilities. As part of our growing data function, you’ll be responsible for designing and optimising data structures that enable trusted Business Intelligence, advanced analytics, and informed decision-making across the organisation.
In this role, you will:
- Design, organise, and optimise enterprise data models and structures that support scalable Business Intelligence and analytics solutions.
- Develop and maintain logical and physical data models for modern BI environments, ensuring data is structured for performance, usability, and long-term scalability.
- Drive semantic and structural consistency across data platforms and systems, enabling accurate reporting and aligned business insights.
- Work closely with technical teams, data engineers, and business stakeholders to understand analytical requirements and translate them into effective data architecture solutions.
- Ensure data is accessible, reliable, and aligned to organisational objectives, supporting both operational reporting and strategic decision-making.
- Contribute to the evolution of enterprise data standards, governance practices, and modelling frameworks to improve data quality and consistency across the wider ecosystem.
- Support the delivery of advanced analytics and reporting initiatives by creating data structures that empower insight generation and self-service BI capabilities.
- Collaborate across teams to continuously improve the organisation’s data architecture, helping to build a robust and future-ready analytics environment.
This is an exciting opportunity to influence how enterprise data is structured and utilised within Leonardo UK, helping drive innovation, insight, and smarter business outcomes through high-quality data design.
What you'll bring
- Strong knowledge of data modelling methodologies and best practices.
- Experience with SQL, ETL processes, data warehousing, and Business Intelligence platforms.
- Familiarity with big data technologies such as Hadoop and Spark.
- Understanding of data architecture principles and IT service delivery processes.
- Ability to analyse and interpret complex datasets to create scalable and effective data models.
- Strong troubleshooting and problem-solving capabilities related to data management and integration.
- Bachelor’s degree in Computer Science, Computer Engineering, Statistics, Economics, or a related field.
- A Master’s degree or postgraduate specialisation in Data Science, Data Analytics, IT Service Management, or Business & IT Alignment is considered an asset.
- Experience in data modelling, data architecture, Business Intelligence, or related roles.
- Experience with data integration techniques and enterprise data management environments.
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
Additional Locations: GB - Basildon, GB - Bristol - Coldharbour Lane, GB - Bristol - Others, GB - Luton - Cap. Green 300, GB - Southampton, GB - Yeovil - Lysander Rd
Contract Type: Permanent
Hybrid Working: Hybrid
Data Modeler in Edinburgh employer: Leonardo
At Leonardo UK, we prioritise our employees' growth and wellbeing, offering a comprehensive benefits package that includes generous leave, an award-winning pension scheme, and access to over 4,000 online courses for continuous learning. Our inclusive work culture fosters collaboration and innovation, making it an ideal environment for Data Modelers to thrive and contribute to cutting-edge projects in the Aerospace, Defence, and Security sectors. Join us in Edinburgh, where you can enjoy flexible working options and be part of a team that values your contributions and supports your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with data professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. This is your chance to demonstrate your expertise in SQL, ETL processes, and BI platforms. A strong portfolio can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling questions and scenarios. Practice explaining your thought process when designing data structures. Being able to articulate your approach will impress potential employers.
✨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, we love hearing from candidates who are genuinely interested in joining our team at Leonardo.
We think you need these skills to ace Data Modeler in Edinburgh
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Modeler role. Highlight your experience with data modelling methodologies, SQL, and any relevant projects that showcase your skills. We want to see how you fit into our team!
Showcase Your Problem-Solving Skills:In your application, don’t just list your qualifications—tell us about specific challenges you've faced in data management and how you tackled them. We love seeing candidates who can think critically and solve problems effectively.
Be Authentic:Let your personality shine through in your written application. We value a good attitude and a willingness to learn, so don’t be afraid to share your passion for data and analytics. Show us why you’re excited about this opportunity!
Apply Through Our Website:For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. We can’t wait to hear from you!
How to prepare for a job interview at Leonardo
✨Know Your Data Modelling Inside Out
Make sure you brush up on your data modelling methodologies and best practices. Be ready to discuss specific examples from your past experiences where you've designed or optimised data structures, as this will show your practical knowledge and expertise.
✨Familiarise Yourself with the Tech Stack
Since the role involves SQL, ETL processes, and big data technologies like Hadoop and Spark, it’s crucial to be comfortable discussing these tools. Prepare to explain how you've used them in previous roles and how they can benefit the organisation's data architecture.
✨Understand the Business Context
Leonardo UK is looking for someone who can align data solutions with business objectives. Research the company’s goals and think about how your skills can help drive innovation and smarter business outcomes through effective data design.
✨Show Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview that test your troubleshooting and problem-solving capabilities. Think of complex datasets you've worked with and how you approached challenges, as this will demonstrate your analytical mindset.
