Data Engineer

Data Engineer

Salary Range: £53,000 - £71,000

At Leonardo UK, you’ll help shape and strengthen the organisation’s data capabilities by building scalable, reliable, and future‑ready data solutions that enable informed decision‑making across the business. As a Data Engineer, you’ll work in a collaborative and fast‑paced environment where innovation, automation, and data integrity are central to success.

• Design, develop, and maintain robust ETL/ELT pipelines to support 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, Big Query, 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.

• 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 such as Hadoop and Spark is advantageous.
• 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.
• We welcome candidates even if they do not possess every listed skill; a good attitude and willingness to learn are the most important qualities.

This role is subject to pre‑employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). Additional Personnel Security Controls referred to as National Security Vetting (NSV) may apply, which could include meeting the eligibility requirements for the Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit

• Generous leave with the opportunity to accrue up to 12 additional flexi‑days each year.
• Benefit from an award‑winning pension scheme with up to 15% employer contribution.
• 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).
• Eligibility for bonus scheme for employees at management level and below.
• Free access to more than 4,000 online courses via Coursera and Linked In Learning.
• Financial reward through referral programme.
• Up to £500 annually spend on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts and gym memberships.
• Flexible hours with hybrid working options; part‑time opportunities may be considered.

• Primary
  
  Location:
  
  Edinburgh, GB.
• Additional Locations:
  Basildon, Bristol (Coldharbour Lane), Luton (Cap. Green 300), Newcastle, Southampton and Yeovil (Lysander Rd).

Contract Type:
Permanent. Hybrid Working:
Hybrid (International, multicultural, innovative, technological).