Job Description

π€π§πšπ₯𝐲𝐭𝐒𝐜𝐚π₯ π„π§π π’π§πžπžπ« & π’πžπ§π’π¨π« π€π§πšπ₯𝐲𝐭𝐒𝐜𝐚π₯ π„π§π π’π§πžπžπ«π¬

To join a growing Data & Analytics team with a leading insurer
Permanent, hybrid working and office attendance when required - Surrey

π€π§πšπ₯𝐲𝐭𝐒𝐜𝐚π₯ π„π§π π’π§πžπžπ« – up to Β£60,000, plus bonus and benefits
π’πžπ§π’π¨π« π€π§πšπ₯𝐲𝐭𝐒𝐜𝐚π₯ π„π§π π’π§πžπžπ«π¬ – up to Β£80,000, plus bonus and benefits

If you enjoy building clean, reliable data products, improving data pipelines, and helping businesses get more value from modern data platforms then this is a great next step for you.

You’ll be working closely with data engineers, data scientists, analysts, developers, architects and product teams to support analytics, machine learning and wider data-driven projects.

Relevant experience includes:
β€’ Databricks or Snowflake, ideally within AWS
β€’ Python, PySpark and SQL
β€’ ETL pipelines and data transformation
β€’ End-to-end data modelling
β€’ DBT, SparkSQL, Airflow, Git, Jenkins or similar tools
β€’ Data quality, governa...

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