Responsibilities
- Transform data from diverse internal systems into standardized, unified models for broad organizational use.
- Refine and organize both structured and unstructured data to build robust models supporting business reporting.
- Enhance a cloud-based lakehouse architecture on AWS by incorporating new data sources and developing compliance-focused applications.
- Build and manage tests and monitoring systems to guarantee data pipeline integrity, accuracy, and efficiency.
- Work alongside experienced data, product, and engineering professionals to deliver intelligent product capabilities.
- Produce and maintain clear documentation and data inventories to support transparency and proper data governance.
- Help team members navigate data systems, troubleshoot issues, and access required datasets efficiently.
- Keep current with advancements in data modeling techniques and disseminate knowledge and best practices internally.
Compensation
Not specified
Work Arrangement
Not specified
Team
Growing data teams collaborating with product and engineering functions
Responsibilities
- Shape the data coming from a mixture of internal services into consistent, conformed models, and then further transform this data to serve specific teams and use cases.
- Prepare and clean structured and unstructured data and develop high-quality data models for reporting purposes
- Extend our AWS-based lakehouse by integrating data and building regulatory use cases to empower various teams in decision-making, drive innovation, optimise performance and ensure compliance.
- Design and implement data testing and monitoring to ensure the accuracy, reliability, and performance of data pipelines.
- Collaborate closely with highly ambitious and skilled people in our growing data teams, as well as product & engineering colleagues to release smart features for our products
- Maintain trustworthy documentation and data catalogues to ensure clarity, accessibility and correct governance of the data on our platform.
- Assist colleagues with understanding the data landscape, resolving problems and accessing data as needed.
- Stay up to date with the latest industry developments in data modelling and share your expertise best practices within the company
Not specified
