Salary: £70,000 - 70,000 per year
Requirements:
- A BEng/BSc or Masters degree in Computer Science, Data Engineering, Mathematics, or a related discipline
- Strong programming skills in languages such as Python, SQL, and Java or Scala
- Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
- Expertise in building and maintaining ETL pipelines and data workflows
- Familiarity with cloud data platforms (AWS, Azure, GCP) and data pipeline orchestration tools (Airflow, Prefect, etc.)
- Understanding of data modelling, schema design, and performance optimisation
- Experience with agile development methodologies, including Scrum and Kanban
- Familiarity with version control tools such as Git
Responsibilities:
- Designing, implementing, and maintaining scalable data pipelines and ETL processes
- Developing and optimising databases and data storage solutions for structured and unstructured data
- Collaborating with data scientists and analysts to deliver reliable, high-quality data for analytics and reporting
- Ensuring data quality, integrity, and compliance with security and governance standards
- Supporting the adoption of best practices for data engineering and contributing to technical decision-making
Technologies:
- Airflow
- AWS
- Azure
- Cloud
- Cassandra
- ETL
- GCP
- Java
- Kanban
- MongoDB
- MySQL
- NoSQL
- PostgreSQL
- Python
- SQL
- Scala
- Security
- Git
- Support
More:
We are proud of the diverse and inclusive community we have built, welcoming applications from people of all backgrounds and perspectives. Our success is driven by our people, united by a spirit of partnership to deliver the best resourcing solutions for our clients. We prioritize respect and equality and are committed to supporting all candidates throughout the recruitment process.
last updated 13 week of 2026