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Design, build and maintain robust ETL and ELT pipelines that provide reliable, high-quality data
Create scalable ingestion processes that bring together structured and unstructured data from
Develop and maintain modern data warehouses and data lakes that support reporting, analytics and
Design effective data models, including dimensional, star and snowflake schemas, to make data
Deploy and manage cloud-based data solutions using Microsoft Fabric and Microsoft SQL Server.
Monitor and optimise database, platform and storage performance to improve scalability, resilience

Degree in Computer Science, Engineering, Mathematics or a related field, or proven experience in
Strong SQL and Python skills, along with solid database experience across relational and
Hands-on experience building ETL/ELT pipelines using tools such as dbt Cloud, Azure Data Factory or
Practical experience working with cloud platforms such as Azure, AWS or GCP; relevant cloud
Understanding of data warehousing concepts and dimensional modelling, and how to design data that
Experience with Microsoft Fabric, Fivetran or Alteryx would be beneficial.

Data Engineer

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