Data Engineer

IO Associates; Remote; GBP 50,000 - 70,000; Full time

Job summary

A mission-driven SaaS business in the UK is seeking a Data Engineer to create and manage the data infrastructure for its AI capabilities. This role involves building ETL/ELT pipelines, designing scalable data platforms, and ensuring compliance with data standards. Collaboration with AI and MLOps engineers is key to enable effective data processing for machine learning. Ideal candidates will have experience in handling complex datasets and a solid understanding of data security and privacy requirements.

Qualifications

• Experience in building ETL / ELT pipelines for large datasets.
• Strong background in designing scalable data platforms.
• Understanding of data validation and monitoring techniques.

Responsibilities

• Build and maintain robust ETL / ELT pipelines for complex datasets.
• Design scalable data platforms to support AI workloads.
• Implement data validation and observability measures.

Skills

ETL / ELT pipeline development

Data platform design

Data validation and monitoring

GDPR compliance knowledge

Collaboration skills

Job description

Data Engineer - AI (UK Remote)

We're working with a mission-driven SaaS business. Their platform supports the full lifecycle of complex, data-intensive cases and plays a meaningful role in improving outcomes across a highly regulated sector.

They're looking for a Data Engineer to design, build and maintain the data infrastructure underpinning their AI capabilities. You'll work closely with AI and MLOps engineers to enable secure, scalable and compliant data pipelines that support model training, evaluation and continuous improvement.

What you’ll be doing

• Building and maintaining robust ETL / ELT pipelines for large, complex datasets
• Designing scalable data platforms (lakes, warehouses, streaming) to support AI workloads
• Implementing data validation, observability and monitoring to ensure quality and reliability
• Embedding privacy, security and compliance (GDPR / regulated data standards) by design
• Collaborating cross-functionally to enable reproducible, production‑grade AI systems

What we’re looking for