Data Engineer

Responsibilities

• In this role, you will:
• 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.

Requirements

• 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.
• 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.
• Security Clearance
• Why join us
• 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).

Benefits

Additional Information

Job Description: Salary Range: £53,000 - £71,000 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.

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