You will be responsible for:Designing, implementing, and maintaining scalable data pipelines and ETL processesDeveloping and optimising databases and data storage solutions for structured and unstructured dataCollaborating with data scientists and analysts to deliver reliable, high-quality data for analytics and reportingEnsuring data quality, integrity, and compliance with security and governance standardsSupporting the adoption of best practices for data engineering and contributing to technical decision-makingCandidates should demonstrate:A BEng/BSc or Master''s degree in Computer Science, Data Engineering, Mathematics, or a related disciplineStrong programming skills in languages such as Python, SQL, and Java or ScalaExperience with relational databases (eg, PostgreSQL, MySQL) and NoSQL databases (eg, MongoDB, Cassandra)Expertise in building and maintaining ETL pipelines and data workflowsFamiliarity with cloud data platforms (AWS, Azure, GCP) and data pipeline orchestration tools (Airflow, Prefect, etc.)Understanding of data modelling, schema design, and performance optimisationExperience with agile development methodologies, including Scrum and KanbanFamiliarity with version control tools such as GitReasonable Adjustments:Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of par