Data Consultant

Ncounter Technology Recruitment
Southend-on-Sea, United Kingdom
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 85K

Job location

Southend-on-Sea, United Kingdom

Tech stack

Artificial Intelligence
Computer Programming
Information Engineering
Data Integration
ETL
Python
Machine Learning
SQL Databases
Data Management
Data Pipelines

Job description

This is a hands-on engineering role focused on designing, building and optimising data pipelines within highly controlled, high impact programmes. You will work across modern data ecosystems, integrating large scale datasets, developing robust ETL processes and enabling the deployment of AI and machine learning solutions into operational settings. The work is technically challenging, often requiring creative problem solving in constrained environments where performance, security and reliability are essential.

The organisation is at the forefront of applying AI within Defence and Government, with strong exposure to platforms such as Palantir and similar large scale data integration technologies. You will be working closely with both technical teams and end users, translating real world problems into scalable, production grade solutions.

Requirements

  • Active DV Clearance and willingness to work within secure UK environments

  • Strong Data Engineering background with solid programming skills in Python and SQL

  • Proven experience designing and building ETL pipelines and data workflows at scale

  • Experience working across cloud and on prem data platforms

  • Exposure to machine learning or AI driven systems within production environments

  • Understanding of complex data integration challenges within enterprise or secure settings

  • Ability to engage with stakeholders and operate effectively in delivery focused teams

This role would suit someone from a Defence, National Security, or consultancy background who enjoys working on technically demanding problems with real world impact.

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