Data Engineer

Responsibilities

• 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 Data
  360/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 tools such as Jira/Confluence/Miro.

• Commercial experience as a Data Engineer in a modern data platform.
• Strong hands‑on experience with Databricks (or equivalent cloud data platforms).
• 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.

• 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.

• 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.

This organisation strives to operate a policy of equal opportunity and to not discriminate against any person because of sex, race, colour or national origin.