At a Glance
- Tasks: Design and maintain secure data pipelines using cutting-edge technologies.
- Company: Join Leonardo, a global leader in Aerospace, Defence, and Security.
- Benefits: Enjoy flexible working, generous leave, and a comprehensive benefits package.
- Other info: Opportunities for professional growth and access to 4,000+ online courses.
- Why this job: Make a real impact in a dynamic environment while solving critical challenges.
- Qualifications: Experience with Elastic Stack and Apache NiFi is essential.
The predicted salary is between 50000 - 61950 £ per year.
Salary Range: 50,000 - 61,950. 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.
Your Impact
We have an exciting opportunity for a Senior Data Engineer to join our team at Leonardo Cyber & Security Division. This is a highly rewarding and hands-on role with exposure across both traditional and cutting-edge enterprise IT as well as bespoke Operational Technology systems. You will be working in a dynamic environment with a team that is motivated to deliver innovative solutions to customers within defence, government and commercial sectors. We are after creative, passionate, technically savvy and personable people to help grow our practice and solve some of the most exciting and critical challenges to the UK’s digital landscape. This role requires strong expertise in building and managing data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. The successful candidate will design, implement, and maintain scalable, secure data solutions, ensuring compliance with strict security standards and regulations. This is a UK based onsite role with the option of compressed hours.
What you will do as a Senior Data Engineer:
- Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi.
- Implement data ingestion, transformation, and integration processes, ensuring data quality and security.
- Collaborate with data architects and security teams to ensure compliance with security policies and data governance standards.
- Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity.
- Develop robust data models to support analytics and reporting within secure environments.
- Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack.
- Build dashboards and visualizations in Kibana to enable data-driven decision-making.
- Ensure high availability and disaster recovery for data systems, implementing appropriate backup and replication strategies.
- Document data architecture, workflows, and security protocols to ensure smooth operational handover and audit readiness.
What you'll bring:
- Core areas (must have): UK DV Clearance or the ability to obtain it.
- Experience working as a Data Engineer in secure or regulated environments.
- Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization.
- Strong experience with Apache NiFi for building and managing complex data flows and integration processes.
- Knowledge of security practices for handling sensitive data, including encryption, anonymization, and access control.
- Familiarity with data governance, data quality management, and compliance standards in secure environments.
- Experience in managing large-scale, real-time data pipelines and ensuring their performance and reliability.
- Strong scripting and programming skills in Python, Bash, or other relevant languages.
- Working knowledge of cloud platforms (AWS, Azure, GCP) with a focus on data security and infrastructure as code.
- Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
- Detail-oriented with a focus on ensuring data accuracy, quality, and security.
- Proactive problem-solving mindset and ability to troubleshoot complex data pipeline issues.
Desirable:
- Experience working in government, defence, or highly regulated industries with knowledge of relevant standards.
- Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop.
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
- Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure.
- Understanding of ML algorithms, their development and implementation.
- Confidence developing end-to-end solutions.
- Experience with infrastructure as code e.g. Terraform, Ansible.
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 (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity).
- 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!
Senior Data Engineer employer: Leonardo DRS
Leonardo DRS is an excellent employer for students seeking practical experience in a supportive and dynamic environment. Located in Bedford, the company fosters a collaborative work culture that encourages personal growth and skill development, making it an ideal place for young individuals to kickstart their careers in inventory management and logistics. With hands-on training and mentorship opportunities, students can gain valuable insights while contributing to meaningful projects over their temporary tenure.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨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 Leonardo DRS!
✨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 Senior Data Engineer at Leonardo DRS.
✨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 Leonardo DRS.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Leonardo DRS, 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 Senior Data Engineer
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 Leonardo DRS, 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 Leonardo DRS. 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 Leonardo DRS
✨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 Leonardo DRS!
✨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.