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.