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.