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Data Analyst - SQL/Python - Hybrid @ Prize Placements

GBOnsiteFull-time
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About this role

Salary: £65,000 - 75,000 per year

Requirements

  • 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

We are recruiting a Senior Data Engineer for a global leader, based in Hertfordshire (WD4). This is a hybrid role with two days in the office, a salary of £65,000 or more, a 20% bonus, an on-site gym, and 25 days of holiday. The role focuses on developing automated data pipelines from requirements gathering through to reporting and business support.

last updated 44 week of 2026

Skills

SQLPythonMicrosoft FabricPower BITableauData PipelineData visualizationVersion controlGitdbtCloud infrastructure

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