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.
