Data Engineer

As a Data Engineer, you’ll design, build, and maintain robust data pipelines that support analytics, reporting, and advanced data use cases across the organisation. You’ll work closely with the Head of Data & Intelligence, Senior Data Analyst, engineering teams, and business stakeholders to ensure data is accurate, timely, and accessible.

The role involves working with both high-volume, near real-time data(e.g. device telemetry and operational events) as well as more traditional business data (e.g. sales and activations).

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• Design, build, and maintain scalable batch and near real-time data pipelines
  
• Ingest data from devices, databases, APIs, and third-party platforms
  
• Implement ETL/ELT processes to produce analytics- and reporting-ready datasets
  
• Support near real-time operational and product performance observability
  
• Contribute to the implementation of a modern, cloud-based data platform
  
• Implement data validation, reconciliation, and monitoring processes
  
• Ensure high standards of data quality and governance
  
• Partner with analytics, product, engineering, and business teams
  
• Enable self-service data access via approved tools and patterns
  
• Produce and maintain clear technical documentation
  

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• Reliable, scalable data pipelines supporting analytics and reporting
  
• High-quality, trusted data accessible across the organisation
  
• Stakeholders empowered to make informed, data-driven decisions
  
• A collaborative and data-focused culture embedded across teams
  
• Proven experience as a Data Engineer or in a similar role
  
• Strong skills in SQL, Python, PySpark
  
• Experience with orchestration and transformation tools (e.g. Airflow, dbt)
  
• Experience with cloud data platforms (e.g. Snowflake, Redshift, Databricks, ADF, MS Fabric)
  
• Solid understanding of data modelling, ETL/ELT, and data warehousing
  
• Familiarity with DevOps practices and version control (e.g. GitHub)
  
• Strong communication and stakeholder engagement skills
  

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• Experience with high-volume or near real-time data
  
• Exposure to BI tools such as Power BI, Tableau, or Looker
  
• Competitive salary with annual bonus scheme
  
• Annual salary review
  
• Statutory pension contribution
  
• Life assurance – 4x basic salary
  
• Private medical insurance
  
• Group Income Protection
  
• 24/7 Cash Plan
  
• 25 days holiday, increasing by 1 day for every 5 years’ service (up to 30 days)
  
• Volunteer leaveEmployee Assistance Programme (EAP) – 24/7 support
  
• Flu jabs contribution
  
• Eye care contribution
  
• Lifetime financial wellbeing subscription
  

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• Green electric salary sacrifice car scheme