In the role you will be designing and developing complex data processing modules and reporting using Big Query and Tableau. In addition, you will also work closely with the Infrastructure/Platform Team who are responsible for architecting, and operating the core of the client’s Data Analytics platform.

You will:

Work with both the business teams data scientists and engineers to design, build, optimise and maintain production grade data pipelines and reporting from an internal Data warehouse solution, based on GCP/Big Query

Work with finance, actuaries, data scientists and engineers to understand how the client can make best use of new internal and external data sources

Work with the client’s delivery partners at to ensure robustness of Design and engineering of the data model/ MI and reporting which can support their ambitions for growth and scale

BAU ownership of data models, reporting and integrations/pipelines

Create frameworks, infrastructure and systems to manage and govern data assets

Produce detailed documentation to allow ongoing BAU support and maintenance of data structures, schema, reporting etc.

Work with the broader Engineering community to develop the client’s data and MLOps capability infrastructure

Ensure data quality, governance, and compliance with internal and external standards.

Monitor and troubleshoot data pipeline issues, ensuring reliability and accuracy.

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