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Data Engineer

Reference LWJKPET

Location Peterborough

This role involves but is not limited to:  

  • Design, build, and maintain scalable, production-grade data pipelines into Databricks.
  • Implement ingestion, transformation, and optimisation patterns using SQL, Spark, and Python.
  • Ensure datasets are performant, reliable, and analytics-ready
  • Lead hands-on data mapping from legacy systems into Databricks with downstream implication with Analytics (Tableau) and strong AI use cases (Mulesoft IDP and Data360/Agentforce) 
  • Support ingestion and harmonisation of data arising from M&A activity.
  • Analyse acquired datasets and integrate them into the central data platform
  • Establish and govern testing standards covering functional, regression, integration and UAT testing
  • Implement data quality checks, validation rules, and monitoring within pipelines.
  • Support governance standards defined by the Data & Analytics Manager.
  • Ensure high quality documentation and data governance
  • Work with internal and external teams, using Agile delivery and Project Management tolls such as Jira/Confluence/Miro 

Requirements:  

  • Commercial experience as a Data Engineer in a modern data platform
  • Strong hands-on experience with Databricks (or equivalent cloud data platforms)
  • Proven experience building production data pipelines
  • Experience mapping and migrating data from legacy systems
  • Solid understanding of data modelling and transformation
  • Experience supporting analytics tools such as Tableau
  • Desirable: Experience with Salesforce Data Cloud (Data 360) or CRM data models
  • Desirable: Exposure to AI-ready data platforms or automation use cases
  • Desirable: Experience working within a Centre of Excellence or multi-team environment

Success Measures:  

  • Reliability of data pipelines (uptime, successful run rates)
  • Time taken to onboard new data sources
  • Reduction in downstream data issues and rework
  • Adoption of engineered datasets by analytics and AI use cases
  • Quality and clarity of data documentation and mappings

Company Core Values:

  • Aspire: Challenge convention, be entrepreneurial with energy for change. Be the best we can be.
  • Innovate: Creatively evolve our working practices, use our revenue and resources in a virtuous cycle of improving our people, systems and growth.
  • Integrate: Bring together people and systems into a cohesive force.
  • Commitment: Work with integrity and invest in long term relationships, creating a strong market position and delivering sustained commercial advantage.

Apply

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