Data Engineer
Role details
Job location
Tech stack
Job description
- Design, develop, and maintain robust ETL/ELT pipelines to support the ingestion, transformation, validation, and delivery of data across multiple systems and platforms.
- Manage and optimise enterprise data environments, including cloud-based data warehouses and data lakes such as Snowflake, BigQuery, Redshift, and Azure Synapse, ensuring high levels of scalability, reliability, and performance.
- Collaborate closely with Data Science, Business Intelligence, and Engineering teams to ensure data is accurate, accessible, and aligned to business objectives.
- Partner with stakeholders across the organisation to gather reporting and analytics requirements, translating business needs into effective and sustainable data solutions.
- Automate data integration, orchestration, and monitoring workflows using modern tools and frameworks including Python, Dagster, and Azure Data Factory.
- Support the development and optimisation of dashboards and reporting solutions across platforms such as Power BI, Tableau, and Looker, helping to ensure semantic consistency and trusted reporting outputs.
- Maintain high-quality documentation and governance standards to ensure traceability, reproducibility, and compliance across data assets, pipelines, and processes.
- Continuously identify opportunities to improve data architecture, operational efficiency, and engineering best practices across the wider data ecosystem.
This is an opportunity to work with modern technologies on meaningful, high-impact projects, helping drive the evolution of data engineering within one of the UK's leading advanced technology organisations., * Technical expertise: Strong knowledge of SQL, ETL/ELT processes, data warehousing, and modern data platforms. Experience with Python, Dagster, Azure Data Factory, and Azure SQL is essential; familiarity with big data technologies (e.g. Hadoop, Spark) is advantageous.
Requirements
Do you have experience in Tableau?, * Analytical thinking: Ability to interpret complex datasets and support the development of meaningful, insight-driven BI solutions.
- Problem solving: Proven ability to diagnose and resolve complex data integration and data quality challenges.
- Communication: Strong stakeholder engagement skills, with the ability to translate technical concepts into clear business language.
- Attention to detail: High level of accuracy in validating data and ensuring integrity across systems.
- Documentation & governance: Commitment to maintaining clear, structured documentation to support traceability and best practice.
- Experience in data engineering, data management, or a related field, with hands-on expertise in data integration and pipeline development.
- Certifications (desirable): Industry-recognised certifications such as Microsoft Certified: Data Engineer Associate or equivalent.
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.