We''re seeking a hands-on Data and 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.

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