Data Platform Engineer

Data & Analytics Platform Engineer

Contract opportunity

6 month initial contract

Hybrid role in Corsham (2 days a week on-site)

Paying between £450 - £500 per day DOE

Outside IR35

Job Description

We’re looking for a delivery-focused analytics platform specialist to play a hands-on role in shaping and building a secure, cloud-based data and analytics platform within a complex MOD stakeholder environment.

Key Responsibilities

• Act as a hands-on platform specialist across a secure, cloud-hosted data and analytics platform
• Contribute directly to build, configuration, and implementation activities
• Support definition of POC scope, success criteria, and value proposition
• Shape the technical path from POC to MVP, considering scalability, security, governance, and reuse
• Contribute to analytics and insight generation, particularly across identity, access, and entitlement datasets
• Data ingestion and transformation
• Analytics and insight generation
• Visualisation and dashboarding
• Access control and environment management
• Work closely with delivery leadership to surface risks and maintain momentum
• Ensure decisions, progress, and artefacts are transparent and shared
• Clearly explain technical concepts to technical and non-technical stakeholders
• Enable teams to operate independently over time

Technical Environment (Indicative)

• Secure, cloud-hosted analytics workbench
• Notebook-based development (Python / R-style workflows)
• SQL-based querying and transformation
• Dashboarding and Visualisation tools (e.g. Power BI, Tableau, Apache Superset or equivalent)
• Cloud-native infrastructure (AWS-based environments)
• Secure multi-user collaboration with governance and auditability

Essential Experience

• Strong hands-on experience with cloud-based data and analytics platforms
• Background in data engineering, analytics platforms, or data science enablement
• Proven experience contributing directly to build and implementation
• Experience taking initiatives from POC to MVP or production
• Solid understanding of security, governance, reuse, and scalability
• Ability to cut through complexity and communicate technical trade-offs clearly