Proficiency in implementing data pipelines, including ingesting, processing, cleaning, transforming, and modelling data
Proficiency in SQL, Python, and Microsoft Fabric
Good understanding of data visualisation using BI tools such as Power BI or Tableau
Excellent communication skills
Familiarity with DevOps-style data model development using tools such as dbt is an advantage
Familiarity with cloud infrastructure such as Snowflake or Microsoft Azure is an advantage
Good understanding of version control systems such as Git or Perforce is an advantage
Responsibilities:
Work with our Engineering Operations team to understand and define data pipeline requirements for new data projects
Collaborate with our wider Engineering teams to understand existing data ingestion and design suitable extraction methods
Design and implement data pipelines within a modern data stack, including extraction and loading, data models, data warehouses, and analytics environments
Solve data-related problems and improve ways of working within our Data Analytics team
Deliver data reports and visualisations to the business
Help and support the business in using our products to continuously improve team deliverables
Technologies:
Azure
Cloud
DevOps
Fabric
Git
Support
Power BI
Python
SQL
Snowflake
Tableau
dbt
Data Warehouse
More:
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