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Updated 2026-06-10 19:00 UTC·© 2025–2026 RoleSuite
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Business Data Engineer

Airbus · Oxford

Job Description:

About our team...

Airbus Helicopters is the world’s largest helicopter manufacturer and the company’s site at Oxford Airport is Britain’s civil helicopter hub.

AHUK offers considerable experience in helicopter sales, bespoke completions, maintenance and spares support.  Its in-house engineering capabilities include design, customisation, installation, flight-testing and certification, as well as technical support, maintenance, training and the supply of spares for civil and military applications

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AHUK is the MoD’s chosen provider of helicopters and maintenance for its No.1 Helicopter Flying school (referred to as MFTS) located in RAF Shawbury (Shropshire) and RAF Valley (Anglesey).

Description/Overall purpose of the Job

The Business Data Engineer working in the Business Improvements team plays a crucial role in designing and implementing systems that improve business processes by leveraging data. Their overall purpose involves creating a robust data infrastructure that enables efficient collection, processing, and analysis of data to support informed decision-making and business optimization. 


Main responsibilities

  • Build and maintain a robust Single Source of Truth (SSOT) using modern data architecture principles to ensure consistency across all business applications.

  • Ensure data is prepared and available for analytics and reporting tools. 

  • Independently develop solutions (workflows, small apps, and dashboards) on the Skywise platform, google app sheet, ensuring they are seamlessly integrated with the central SSOT.

  • Ensure data is prepared and available for analytics and reporting tools, utilizing Python and SQLAlchemy for effective Object-Relational Mapping (ORM) and data modeling.

  • Work closely with data analysts, and group teams to align data sources with business needs, acting as the gatekeeper for data architecture standards.

  • Ensure data integrity and quality by implementing validation processes and error detection mechanisms at the database level.

  • Optimise data workflows for faster and more efficient processing, reducing downtime and improving operational efficiency.

  • Automate manual processes related to data collection, reporting, and analysis to improve speed and reduce human error.

  • Translate business requirements into technical data solutions that support performance tracking and improvement initiatives.

  • Develop scalable solutions to handle increasing amounts of data as business needs evolve.

Knowledge and Skills

  •  Expertise in data architecture, specifically designing and maintaining an SSOT.

  • Advanced proficiency in Python, with a strong focus on SQLAlchemy for database interactions and data modeling.

  • Proficient SQL skills and experience with relational databases and database design, capable of optimizing complex queries.

  • Proficient with Google products, app script, app sheet, google automations and google sheet functionality.

  • Knowledge of Python, Git, PL/SQL, Java Script, HTML & CSS.

  • Expertise in data analysis methodologies and processes and their linkages to other processes.

  • Ability to understand and analyse existing business processes and suggest improvements based on data insights and areas for automation.

  • Ability to translate business needs into technical data solutions that align with company objectives.

Education, Qualifications or Training

Essential

  • Advanced programming skills, specifically in Python (SQLAlchemy) and SQL.  

  • Ability to translate business requirements into technical data solutions.  

  • Dashboard creation in Skywise, Google Looker/other comparable software.  

  • Experience of delivering concepts into production, maintaining full-stack oversight from backend architecture to frontend business application.  

  • Understanding of key business metrics and KPIs, ensuring that data pipelines support decision-making.  

  • Planning, Scope management skills.  

  • Ability to liaise with non-technical teams to define and refine project requirements, ensuring data-driven business improvements.  

  • STEM HND.  

Desirable

  • Knowledge of airline and MRO operations..

  • Proven experience designing and implementing a central Single Source of Truth (SSOT) data architecture.

  • Business / industrial experience.

  • Application / Software development

Additional requirements

  • Due to the nature of this position you will require DBS Security Clearance and be eligible for SC clearance. 

  • Applicants must meet any/all requirements of Export Compliance Regulations.


 

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Helicopters UK Ltd

Employment Type:

Permanent

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Experience Level:

Professional

Job Family:

Customer Eng.&Technical Support&Services <JF-CS-PS>

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected].

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Data & ML pay context

Based on 1,369 disclosed Data & ML salaries on RoleSuite, the role pays a median of $163K/year, with most offers between $127K and $210K (10th–90th percentile: $108K–$248K).

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