Data Engineer - South East London

• 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.

• 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