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Big data developer

Kidderminster
Salvada Talent
Big data developer
Posted: 4 May
Offer description

Big Data Engineer (AI Research & Applied Systems)

Python, Knowledge Graphs

Worcestershire (Hybrid working, 1 day a week in office, possibility for additional flex)

Permanent

SC or DV Clearance required

We're partnering with a high-trust technology consultancy delivering cutting-edge AI solutions into highly sensitive government environments. We're looking for a Big Data Engineer to join a high-performing technical team working at the intersection of cutting-edge AI research and real-world mission delivery.

This role sits at the intersection of AI research, applied engineering, and client advisory, making it ideal for someone who enjoys both deep technical work and real-world problem solving.

The role

* Taking leadership of multiple terabytes of multi-source textual data
* Helping bridge the gap between state of the art research and operational impact
* Translate complex technical concepts into clear, actionable insight for non-technical audiences
* Mentor engineers and shape technical direction
* Contribute to identifying and shaping future opportunities in Big Data within AI innovation

What we're looking for

* Proven experience working with and processing large data sets
* Understanding of state of the art AI research and how to apply it in production systems
* Skilled in Python and associated technologies and tools within Big Data
* Experience of Knowledge Graphs is beneficial but not essential
* Exceptional communication skills - able to clearly explain complex ideas
* Comfortable operating in high-security, high-trust environments
* Strong problem-solving, analytical and technical leadership capability

Security Requirement

- Due to the nature of this role and associated security requirements, applicants must hold current SC security clearance and be open to obtaining DV

Why this role?

* Work at the forefront of applied AI in sensitive government domains
* High-impact projects with genuine national importance
* Real technical autonomy and influence
* Exposure to cutting-edge research and innovation
* Opportunity to shape both technology and team culture

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