Data Engineer

Vertus Partners; Manchester; On-site; GBP 129,000 - 148,000; Full time

Benefits offered by this job

Long-term programme

AI initiative exposure

High ownership across platform design

Job summary

Vertus Partners in Manchester is seeking a Data Engineer to build the data foundations behind large-scale AI and knowledge management platforms.

You will design scalable pipelines, enhance enterprise search, and develop knowledge graph capabilities, collaborating with AI engineers and stakeholders.

This long-term programme offers significant technical ownership and the chance to influence platform design across the data stack.

Qualifications

• Experience in Python and SQL for data engineering.
• Designing and supporting large-scale ETL/ELT pipelines.
• Exposure to cloud-based data platforms and distributed architectures.
• Knowledge of search technologies or information retrieval tools.
• Understanding data governance, lineage and metadata management.
• Ability to translate complex business needs into scalable engineering solutions.

Responsibilities

• Design scalable ingestion and transformation pipelines across enterprise data sources.
• Develop AI, search, analytics and knowledge management solutions.
• Build knowledge graphs to model relationships across data.
• Improve enterprise search and indexing for faster discovery.
• Implement metadata, data quality and governance across large datasets.
• Collaborate with AI engineers, architects and stakeholders to deliver data products.

Skills

Python

SQL

ETL/ELT

Cloud platforms

Search tech

Data governance

Job description

The Role

I'm working with a business investing heavily in enterprise AI, search and knowledge management capabilities. They're looking for a Data Engineer to help build the data foundations that sit behind large-scale AI and knowledge discovery platforms.

This is a hands-on engineering role focused on designing and delivering data pipelines, search infrastructure and knowledge management solutions that turn complex enterprise information into trusted, searchable and AI-ready assets.

What You Will Be Doing

• Designing and building scalable data ingestion and transformation pipelines across multiple enterprise data sources.
• Developing solutions that support AI, search, analytics and knowledge management use cases.
• Building and maintaining knowledge graph capabilities to model relationships across complex business data.
• Enhancing enterprise search and indexing performance to improve information discovery and retrieval.
• Implementing metadata, data quality and governance controls across large-scale datasets.
• Working closely with AI engineers, architects, data specialists and business stakeholders to deliver reliable data products.

What You Bring

• Strong data engineering experience using Python and SQL.
• Experience designing and supporting large-scale ETL or ELT pipelines.
• Exposure to modern cloud-based data platforms and distributed data architectures.
• Knowledge of search technologies, indexing solutions or information retrieval platforms.
• Understanding of data governance, lineage and metadata management principles.
• Ability to translate complex business requirements into scalable engineering solutions.

The Package

• £700-£800 per day, depending on experience and engagement model.
• Long-term programme delivering enterprise AI and data capabilities.
• Opportunity to work on cutting-edge search, knowledge and AI initiatives.
• High level of technical ownership and influence across platform design.