Senior Data Engineer: Lead Data Flows, Hybrid & Flexible Hours

BAE Systems; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

25 days holiday

Private medical & dental insurance

Pension scheme

Job summary

BAE Systems Digital Intelligence in London is seeking a Data Engineer to design, build and maintain data flows, host datasets and support data consumption for clients. You will work with data architects, scientists and analysts to deliver robust data pipelines and scalable solutions.

The role emphasizes DataOps, cloud hosting and cross-functional collaboration, with flexibly managed hours and a hybrid working model. Security clearance is a consideration for applicants with client requirements.

Qualifications

• Strong SQL and Python skills and experience with data engineering concepts.
• Familiarity with DataOps practices and cloud data platforms.
• Ability to understand client requirements and translate them into data solutions.
• Experience collaborating with data architects, scientists and analysts.

Responsibilities

• Build, improve and maintain data flows for ETL processes.
• Follow DataOps and software engineering practices to deliver components.
• Communicate with technical and non-technical stakeholders to build trust.
• Understand business problems to define clear data requirements.
• Collaborate across teams and adapt to new data tools.

Skills

SQL

Python

Data engineering

DataOps

Cloud services

Data modelling

Stakeholder comms

Collaboration

Job description

BAE Systems Digital Intelligence in London is seeking a Data Engineer to design, build and maintain data flows, host datasets and support data consumption for clients. You will work with data architects, scientists and analysts to deliver robust data pipelines and scalable solutions.

The role emphasizes DataOps, cloud hosting and cross-functional collaboration, with flexibly managed hours and a hybrid working model. Security clearance is a consideration for applicants with client requirements.