Principal Data Engineer
Role details
Job location
Tech stack
Job description
- Provide technical leadership and oversight for data engineering delivery within your team
- Lead the design, implementation and maintenance of end-to-end data solutions: acquisition, integration, storage, processing, and analysis
- Implement scalable data solutions using big data architectures and workflow management systems
- Guide the development of tools for data-driven insights and task automation
- Continuously test and monitor systems to improve performance and reliability
- Research and adopt emerging technologies
- Work with cloud platforms and diverse operating systems
- Support development and deployment of machine learning models
- Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants
- Mentor and coach junior data engineers to build team capability, while managing project tasks across your own and their workloads.
- Support technology assessments, feasibility studies, and roadmap development
- Engage with stakeholders and customers, presenting and defending technical solutions
- Manage a small team of direct reports, providing guidance, mentorship and support for their career development
- Support the effective operation of the wider team through utilisation tracking, chairing team meetings and resource management
Requirements
-
Demonstrated leadership in data engineering, with experience managing and mentoring others.
-
Ability to take ownership of engineering delivery and drive team performance.
-
Strong communication and stakeholder engagement skills.
-
A proactive mindset with a commitment to continuous learning and capability development.
-
Proven ability to work across disciplines and collaborate effectively in multi-functional teams.
-
A strategic approach to problem-solving and technical decision-making.
Core Areas (must have):
- Strong Python and SQL skills
- Experience with ETL flows, data pipelines, and orchestration tools
- Understanding of database architecture (SQL and NoSQL)
- Experience with cloud technologies
- Experience with cloud platforms
- Experience with CI/CD practices
- Experience with big data tools e.g. Spark, Hadoop, NiFi
- Experience managing direct reports, providing regular guidance and performance feedback
- Ability to create delivery plans with estimated timelines for personal and team workloads
- Experience supporting ML model deployment and DevOps collaboration
Desirable:
- Degree in STEM, Data, AI, or Programming-related field
- Awareness of data security best practices
- Experience with designing data architecture
- Experience with scaling infrastructure and code, (e.g. Kubernetes)
- Exposure to Ansible and Terraform
- Understanding of ML algorithms and deployment
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.
Benefits & conditions
Pulled from the full job description
- Referral programme
- Company pension
- Private medical insurance
- Discounted gym membership
- Flexible schedule, 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.