IT & Software

Data & Analytics Engineer

JCB

Rocester · United Kingdom · United Kingdom

Overview

In this role you will own the design, build and optimization of reliable data pipelines and well-governed analytical datasets on the Databricks Lakehouse. You will transform raw data into BI-ready models, ensure data quality and lineage, and enable fast, secure analytics for stakeholders. You’ll work with business partners and SI counterparts to deliver scalable, value-adding data solutions that support the company’s data capabilities transformation. This is a hands-on, cross-functional role with a strong emphasis on governance, performance, and collaboration to drive data-enabled decision making.

Pay / Benefits
  • 33 days’ holiday
  • company pension
  • onsite gym
  • in-house doctor and dentist
  • ULEV car scheme
  • Cycle to Work Scheme
Responsibilities
  • Design and implement batch and streaming pipelines across bronze, silver and gold layers using PySpark, Spark SQL, DLT and Auto Loader
  • Implement CDC patterns, incremental loads, optimize partitioning, Z Order and perform OPTIMIZE/VACUUM
  • Build robust tests, data quality checks, observability (alerts/metrics) and runbooks
  • Orchestrate workloads with Databricks Jobs
  • Collaborate on CI/CD with Platform teams (Repos, Git, Terraform, deployment pipelines)
  • Model curated gold datasets and semantic layers for BI (Tableau/PowerBI)
  • Optimize SQL Warehouses for performance, concurrency and cost; maintain versioned metrics
  • Document tables with catalog cards (ownership, lineage, SLA, data contracts); enhance discoverability
  • Implement access controls via Unity Catalog; follow naming and tagging conventions; participate in access reviews and privacy/compliance processes
Key requirements
  • Attention to detail and high standards for accuracy and consistency
  • Customer-focused with ability to build client relationships
  • Strong stakeholder communication and ability to translate business needs into data models/pipelines
  • Documentation mindset (runbooks, catalog cards, README)
  • Experience in a multinational business and complex systems landscape
  • Flexible attitude and positive stance towards change
  • Team player who thrives in collaborative environments
  • Attention to detail
  • Customer-focused
  • Stakeholder communication
  • PySpark / Spark SQL
  • Databricks Lakehouse experience
  • Delta Live Tables (DLT)

Reference: WJ-747_30149597

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