At a Glance
- Tasks: Design and implement data systems to enhance business processes and decision-making.
- Company: Join Airbus Helicopters, the world's largest helicopter manufacturer, at Oxford Airport.
- Benefits: Permanent position with opportunities for career growth and development.
- Other info: Collaborative environment with a focus on innovation and data-driven solutions.
- Why this job: Make a real impact by optimising data workflows and improving operational efficiency.
- Qualifications: Advanced programming skills in Python and SQL, with experience in data architecture.
The predicted salary is between 45000 - 55000 £ per year.
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 operations.
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.
- Utilize 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.
- 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.
- 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.
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. The 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.
Business Data Engineer employer: Airbus
Airbus Helicopters UK Ltd is an exceptional employer, offering a dynamic work environment at the UK's civil helicopter hub in Oxford. With a strong focus on employee growth and development, the company provides opportunities for continuous learning and innovation in data engineering, while fostering a collaborative culture that values integrity and excellence. Employees benefit from working with cutting-edge technology and have the chance to contribute to meaningful projects that enhance business processes and decision-making.
