Data Engineer (Cloud) at BAE Systems

Preston, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

46000.0

Posted On

13 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering Principles, Data Lifecycle, Data Governance, Metadata, Data Quality, Azure, Databricks, Distributed Computing, Big Data, Spark, Data Modelling, SQL, Python, Airflow, Delta Lake, Git

Industry

Defense and Space Manufacturing

Description

Job Title: Data Engineer (Cloud) Location: Preston - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £46,000 depending on skills and experience What you’ll be doing: Applying technical knowledge, skills, and training to design and implement data pipelines and workflows that support data ingestion, transformation, and delivery for business use Ensuring data is captured, stored, and made accessible in a secure, scalable, and reusable manner across the organisation Understanding enterprise data architecture and governance policies to ensure compliance and traceability across datasets Working under general direction, exercising substantial autonomy and discretion in identifying and resolving issues related to data engineering Collaborating with colleagues across the data platform, product, and analytics teams to ensure data is accessible and usable for downstream use cases including analytics and AI/ML Participates in external activities or industry groups relevant to data engineering and platform design Supports continuous improvement in data engineering practices and contributes to team knowledge sharing and innovation Your skills and experiences: Understanding of modern data engineering principles and the data lifecycle Awareness of enterprise data governance, metadata, and quality requirements Experience in managing data across on-prem and cloud platforms (e.g. Azure, Databricks) Familiarity with distributed computing tools and big data technologies (e.g. Spark) Awareness of the security and compliance considerations around sensitive and regulated data Understanding of data modelling principles and SQL-based analytics with proficiency in Python Experience building pipelines using tools like Apache Spark, Airflow, and Delta Lake Experience with Git-based version control and CI/CD processes (e.g. GitLab) Benefits: As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts - you may also be eligible for an annual incentive. The Data team: This is an opportunity to join a new part of the business, undertaking a new piece of work, introducing new technology into the wider BAE Business. Joining from the ground up, this is a chance to make your mark and the role your own. This role will provide the opportunity to grow the role & your responsibility into a wider scope or even specialise within a specific area. Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date 26th February 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. #LI-DL1 #LI-Hybrid

Responsibilities

The role involves designing and implementing data pipelines and workflows for secure, scalable data ingestion, transformation, and delivery across the organization. This includes ensuring compliance with enterprise data architecture and governance policies while collaborating with various data teams for downstream use cases.