We're seeking a hands-on Data & Analytics Engineer with deep technical expertise across modern data platforms and analytics tooling. This role offers broad ownership-from platform architecture to dashboard delivery-and is ideal for someone who thrives in end-to-end data environments.

This role does have on-site requirements and will initally be a 6 month contract.

Core Responsibilities

• Architect relational and Lakehouse schemas using Fabric, Databricks, or equivalent platforms

• Rebuild legacy SSAS cubes into scalable Lakehouse models

• Design medallion architectures and govern data pipelines

• Build and orchestrate ETL/ELT flows across ERP, WMS, ecommerce, IoT, and APIs

• Deliver performant, insightful dashboards using Power BI or similar tools

• Prepare curated datasets for AI/ML workflows and automation

• Implement CI/CD, Git-based source control, and workspace deployment automation

• Define and enforce data governance, lineage, and catalog standards

• Upskill analysts through documentation, enablement, and stakeholder engagement

Ideal Skillset

• Strong SQL and data modelling (dimensional, 3NF)

• Experience with modern data platforms: Fabric, Databricks, Synapse, or similar

• Proficiency in Python and/or PySpark for transformation and orchestration

• Familiarity with orchestration tools like Data Factory, Dataflow Gen2, or Databricks Workflows

• Expertise in dashboard performance tuning, DirectQuery, and incremental refresh

• Cloud-native mindset: Azure, AWS, Terraform, CI/CD pipelines

• Comfortable with REST APIs, GitHub Actions, and ML Ops tooling

• Agile delivery, peer reviews, and test-driven development

ALL candidates must be UK based.