Data Engineer

Trades Workforce Solutions; United Kingdom; Hybrid; GBP 40,000 - 60,000; Part time

Job summary

A leading workforce solutions company is seeking a Data Engineer based in the United Kingdom. You will be responsible for designing, building, and maintaining robust data infrastructures that enable scalable analytics and insight. Key tasks include developing ETL processes and ensuring high data quality across various platforms. Prior experience in data integration and pipelining is crucial. This role provides a unique opportunity to work in a hybrid setting, balancing office and remote engagement.

Qualifications

• Strong experience designing and building ETL workflows and data pipelines.
• Experience integrating data from APIs, databases, and cloud services.
• Solid understanding of data modelling and data warehousing concepts.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Ensure data quality, consistency, performance, and security across platforms.
• Monitor, optimise, and troubleshoot data infrastructure and pipelines.

Skills

ETL workflows and data pipelines

Data integration from APIs and databases

Data modelling and data warehousing

Relational and non-relational databases

Job description

Data Engineer / London OR Newcastle / Hybrid / Contract

We’re recruiting a Data Engineer to join a growing data function, playing a key role in designing, building, and maintaining scalable data infrastructure that supports analytics, insight, and automation across the organisation.

This is an opportunity to work on modern data platforms, integrating multiple data sources and enabling high-quality, accessible data for downstream users.

The Role

As a Data Engineer, you will:

• Design, build, and maintain scalable data pipelines and ETL processes
• Integrate structured and unstructured data from multiple internal and external sources
• Ensure data quality, consistency, performance, and security across platforms
• Collaborate with analytics engineers, data analysts, and stakeholders to support data modelling and transformation
• Monitor, optimise, and troubleshoot data infrastructure and pipelines
• Produce clear documentation of data architecture and engineering processes

Key Responsibilities

• Build and manage robust data infrastructure for large-scale data ingestion and processing
• Develop automated, reliable data pipelines aligned to best practices
• Optimise ETL workflows for performance and scalability
• Implement data governance, access controls, and security standards
• Support self-service analytics by enabling clean, well-structured datasets
• Proactively identify and resolve data issues and pipeline failures

Skills & Experience

• Strong experience designing and building ETL workflows and data pipelines
• Experience integrating data from APIs, databases, and cloud services
• Solid understanding of data modelling and data warehousing concepts
• Experience with relational and non-relational databases, including performance optimisation

If you’re interested in the role, then please apply!