At a Glance
- Tasks: Design and implement data systems to enhance business processes and decision-making.
- Company: Join Airbus, a leader in aerospace innovation with a commitment to diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a collaborative environment.
- Why this job: Make a real impact by optimising data workflows and driving business improvements.
- Qualifications: Advanced Python and SQL skills, with experience in data architecture and analytics.
The predicted salary is between 50000 - 65000 £ per year.
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 AppSheet, ensuring they are seamlessly integrated with the central SSOT.
- Use Python and SQLAlchemy for effective Object-Relational Mapping (ORM) and data modeling to prepare data for analytics.
- Work closely with data analysts and group teams to align data sources with business needs, acting as the gatekeeper for data architecture standards.
- Implement validation processes and error detection mechanisms at the database level to maintain data integrity and quality.
- Optimize 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.
- Strong SQL skills and experience with relational databases, capable of optimizing complex queries.
- Proficiency with Google products, Apps Script, AppSheet, Google Automations, and Google Sheets functionality.
- Knowledge of Python, Git, PL/SQL, JavaScript, HTML & CSS.
- Expertise in data analysis methodologies and processes and their linkages to other processes.
- Ability to understand and analyze 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 or comparable software.
- Experience 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 and 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 SSOT data architecture.
- Business / industrial experience.
- Application / Software development experience.
Additional Requirements:
- Will require DBS Security Clearance and be eligible for SC clearance.
- Applicants must meet any/all requirements of Export Compliance Regulations.
- Senior integrity commitment and awareness of potential compliance risks.
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.
Business Data Engineer employer: Airbus Helicopters
Airbus is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the Business Improvements team. Employees benefit from a commitment to professional growth through continuous learning opportunities and a diverse, inclusive environment that values every individual's contribution. Located in a cutting-edge facility, Airbus provides access to advanced technologies and resources, ensuring that team members can thrive while making meaningful impacts on business processes.
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We think this is how you could land Business Data Engineer
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We think you need these skills to ace Business Data Engineer
Some tips for your application 🫡
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
