Job Description
Data Pipelines and Architecture
Build, maintain, and optimise scalable data pipelines and architectures supporting analytics, reporting, and operational use cases. Contribute to improving the overall structure and maintainability of the data platform.
Data Reliability and Quality
Design and implement automated data validation and quality checks across core datasets. Ensure data is complete, accurate, and consistent across systems. Investigate discrepancies and perform root‑cause analysis across pipelines and data stores. Work towards establishing a single source of truth for key business metrics.
Testing and Validation Frameworks
Introduce and maintain automated testing for data pipelines, including:
- null and completeness checks
- volume and anomaly checks
- cross‑system consistency validation
Ensure validation is part of the pipeline lifecycle, not just post‑deployment.