Senior/Lead Data Engineer - Azure, GIS, Python

Remote
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AI Summary

We're seeking a Senior/Lead Data Engineer to join a project team delivering a high-profile Government program. The role requires a hands-on technical leader capable of building modern data infrastructure in a built-environment context.

Key Highlights
Cloud Engineering in Azure
GIS Technical Stack
Scripting & AI in Python
API Management
Technical Skills Required
Azure QGIS PostGIS Python API Management
Benefits & Perks
£500-550 per day
Fully Remote
Outside IR35

Job Description


Senior / Lead Data Engineer

Azure - GIS - Python

£500-550 per day, Outside IR35

Initially until the end of March

Start 19th of January

Fully Remote

We're supporting one of our favorite Consulting partners source a Senior Data Engineer to join a project team delivering a high profile Government program.

You'll join a team delivering an Alpha phase comprising of 5 integrated blocks of work.

You must have / be able to obtain BPSS Clearance.

Skills/experience required:

The role requires a hands-on technical leader capable of building modern data infrastructure in a built-environment context:


● Cloud Engineering: Hands-on expertise in Azure administration and secure environment configuration.

● GIS Technical Stack: Proficiency in QGIS, PostGIS, or similar spatial database management.

● Scripting & AI: Advanced Python or similar for data scraping, cleaning, and AI-enhanced digitisation.

● API Management: Building and consuming APIs for government data platforms.

Professional Capabilities:

The Data Engineer must possess the leadership qualities necessary to drive digital transformation across new organizations:


● Technical Troubleshooting: Ability to navigate complex IT challenges, such as integrating legacy software with modern departmental security requirements.

● Collaborative Technical Leadership: Experience working in multi-disciplinary teams (with Service Designers and Data Architects) to deliver discovery, alpha, and beta phases.

● Agile Delivery: Capability to manage the rapid creation and publication of data in a fast-paced "shadow unit" environment.

● Mentorship: Willingness to support a community of practice, sharing best practices and technical "no-regrets" actions

● Outcome-Driven Mindset: Focus on reducing technical debt and ensuring data is FAIR (Findable, Accessible, Interoperable, and Reusable) for long-term use.

Please apply by submitting your latest CV for immediate review by our Talent Team.

Thanks


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