Senior Data Engineer

Overview

As a Data Engineer at BAE Systems Digital Intelligence, you will build and maintain data flows and data platforms to enable data-driven decision making for national security and commercial clients. You’ll collaborate with data architects, scientists and analysts, applying software and DataOps practices to deliver high-quality data components. You will work across teams, adapt to evolving toolsets, and ensure data is secure, well-modeled and ready for downstream use. The role offers hybrid working and a clear path to leadership for senior engineers.

Pay / Benefits

• 25 days holiday
• private medical and dental insurance
• pension scheme
• cycle to work
• bonus scheme
• hybrid working

Responsibilities

• Build, improve and maintain data flows (ETL)
• Apply software engineering and DataOps best practices
• Communicate with technical and non-technical stakeholders
• Understand business problems and capture clear requirements
• Collaborate across teams
• Learn and adapt to evolving data tooling
• Demonstrate core skills in SQL, Python, and data management
• Set up cloud services to host data infrastructure and store data
• Lead data teams and delivery frameworks (for senior role)
• Engage with business stakeholders to define work packages (senior role)
• Lead design sessions and select strategic data products (senior role)
• Build expertise across data modelling, architecture, strategy, science and analysis (senior role)

Key requirements

• Experience as a data engineer with data flows and data platforms
• Proficiency in SQL and Python or similar languages
• Understanding of data management, orchestration, security and data modelling
• Ability to communicate with both technical and non-technical stakeholders
• Experience with cloud services
• Security clearance or eligibility
• Leadership or delivery framework experience (for senior role)

• strong communication
• team collaboration
• adaptability
• SQL
• Python
• DataOps

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