Data Engineer

TL;DR

Data Engineer (Data Engineering/Cloud): Building and maintaining scalable data infrastructure and pipelines to support decision-making with an accent on ETL/ELT workflows and cloud data platforms. Focus on designing robust data services, optimizing system performance, and collaborating with multidisciplinary teams to deliver high-impact client solutions.

Location: Must be based in or able to commute to Leeds, West Yorkshire

Salary: £40,000–£55,000

Company

A growing digital team working at the intersection of data engineering and real-world impact across built and natural environments.

What you will do

• Deliver end-to-end data engineering solutions and platform capabilities for diverse client projects.
• Design and implement scalable data pipelines and cloud-based infrastructure.
• Develop and optimize ETL/ELT workflows for performance and cost-efficiency.
• Work within Agile and DevOps environments to ensure continuous delivery.
• Maintain data platform security, reliability, and overall performance.
• Collaborate with data scientists, engineers, and consultants to solve complex challenges.

Requirements

• Degree in Computer Science, Data Science, Engineering, Analytics, or equivalent industry experience.
• Strong experience with major cloud platforms such as Azure, AWS, or GCP.
• Proficiency in large-scale platforms like BigQuery or Databricks.
• Demonstrable experience building scalable data infrastructure and pipelines.
• Advanced Python programming skills for engineering and automation tasks.
• Experience automating workflows and managing efficient ETL/ELT processes.

Culture & Benefits

• Competitive salary with a profit-sharing scheme linked to company performance.
• Comprehensive private medical insurance, life assurance, and income protection.
• Flexible benefits package tailored to health, wellbeing, and lifestyle.
• Dedicated access to learning and development resources for career progression.
• Meaningful work focused on sustainable and data-driven decision making.