Data Engineer

Nigel Frank

Liverpool

On-site

GBP 40,500 - 49,500

Full time

14 days+

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Benefits offered by this job

Birthday leave

Employee wellbeing support programmes

Career progression opportunities

Work-life balance benefits

Job summary

Nigel Frank is hiring a Data Engineer in Manchester to design, build and maintain data processing systems and pipelines. You will collaborate with stakeholders and contribute to data governance while enabling scalable data insights.

The role offers a clear path for professional development, hands-on data work, and exposure to modern data platforms within a growing organisation.

Qualifications

Experience in a Data Engineer or similar role.
Strong SQL skills and proficiency in Python.
Experience with data modelling, ETL processes and data warehousing.
Exposure to cloud platforms.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration abilities.

Responsibilities

Design, build and maintain scalable data processing systems
Develop and manage data pipelines to transform raw data into usable insights
Support and enhance data warehouse architectures and ETL processes
Collaborate with technical and non‑technical stakeholders to deliver data solutions
Monitor and optimise data performance and reliability
Maintain and improve API integrations across systems
Ensure best practices in data governance, security and compliance
Troubleshoot and resolve data‑related issues
Document data processes, systems and architecture

Skills

SQL

Python

Data modelling

ETL

Data warehousing

Cloud platforms

Problem solving

Communication

Job description

Data Engineer

Manchester

£45,000

About the Company

A fast‑growing, family‑oriented organisation operating across multiple locations in the UK with a strong focus on people, development and long‑term career growth are looking for a Data Engineer to join their growing team.

As their business continues to expand, they are investing heavily in data and technology to support smarter decision‑making and innovation across the organisation.

This is an excellent opportunity for someone with some hands‑on experience who is eager to further develop their career in data engineering, with access to training and professional development.

Key Responsibilities

Design, build and maintain scalable data processing systems
Develop and manage data pipelines to transform raw data into usable insights
Support and enhance data warehouse architectures and ETL processes
Collaborate with technical and non‑technical stakeholders to deliver data solutions
Monitor and optimise data performance and reliability
Maintain and improve API integrations across systems
Ensure best practices in data governance, security and compliance
Troubleshoot and resolve data‑related issues
Document data processes, systems and architecture

Skills & Experience