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Senior Business Intelligence Developer
3 weeks ago
The role of Data Manager involves leading the design, implementation, and governance of data assets across the aviation business.
This includes ensuring data is structured, accessible, and trusted to support operational excellence and strategic decision-making.
The ideal candidate will have a blend of technical expertise, business acumen, and stakeholder engagement to deliver high-value data products in a fast-paced, cloud-first environment.
Key Responsibilities:- Lead the end-to-end data lifecycle management, from acquisition and modelling to cataloguing and governance.
- Design and maintain complex data models that support aviation operations and analytics.
- Manage metadata and data catalogue tools to ensure discoverability and lineage tracking.
- Deliver scalable and secure data products on cloud platforms such as AWS or Azure.
- Apply foundational data transformation techniques using SQL and Python to prepare data for consumption.
- Collaborate with cross-functional teams to define data requirements and ensure alignment with business goals.
- Champion data quality, integrity, and compliance across systems and processes.
- Proven experience in data management and governance across all stages of the data lifecycle.
- Deep understanding and hands-on experience with complex data modelling techniques.
- Proficiency in metadata management and data cataloguing tools.
- Demonstrated delivery of data products within cloud ecosystems (AWS or Azure).
- Strong SQL and Python skills for data manipulation and transformation.
- Excellent communication and stakeholder management capabilities.
- Customer-centric mindset with a pragmatic approach to value delivery and execution.
- Strong attention to detail and a commitment to data excellence.
- Solid business acumen and ability to align data initiatives with strategic objectives.
- Experience with SAP ERP and MDG, particularly in master data governance and enterprise resource planning.
- Understanding of the aviation business landscape and ability to contextualize data to drive insights and innovation.
- Knowledge of commercial aspects of the Aviation industry, including customer location profitability, pricing strategies, and their impact on commercial performance.
