Remote Senior Data Engineer

Salary: £30,000 - 60,000 per year

Requirements

• Hands-on experience with Spark and Scala in commercial environments.
• Familiarity with Java and Python.
• Exposure to distributed data systems and cloud storage platforms.
• Experience designing data schemas and analytical databases.
• Use of AI tools to streamline development and debugging.
• Strong grasp of algorithmic thinking and performance optimisation.
• Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra.
• Experience with systems like Kafka or RabbitMQ.
• Ability to build and manage ETL pipelines using tools like Airflow.

Responsibilities

• Develop scalable systems and reusable components that serve as reference points for new team members.
• Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation.
• Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with minimal delay.
• Utilise AI-powered development tools to enhance productivity and code quality.
• Collaborate within Agile teams to refine and monitor data collection systems using Scala and Java.
• Apply sound engineering principles such as test-driven development and modular design.

Technologies

• AI
• Airflow
• AWS
• Backend
• Cloud
• Cassandra
• ETL
• Support
• Java
• Kafka
• NoSQL
• PostgreSQL
• Power BI
• Python
• RabbitMQ
• SQL
• Scala
• Spark

More

We are based in the London area and are looking to recruit an experienced Data Engineer to join our AI Analytics team. We are one of the leaders in the AI space and are currently experiencing significant growth, supported by a major multinational equity firm that is strengthening our financial position. This is an urgent opportunity to join our team as we continue to scale and adopt cutting-edge technology. Tenth Revolution Data Teams offer more opportunities across the UK than any other recruiter and proudly support SQLBits, AWS re:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group, and the Newcastle Data Platform and Cloud User Group.

last updated 27 week of 2026