At a Glance
- Tasks: Develop scalable systems and efficient data workflows for AI analytics.
- Company: Leading AI company backed by a multinational equity firm.
- Benefits: Competitive salary, remote work, and access to cutting-edge technology.
- Other info: Limited interview slots available; apply now for exciting opportunities!
- Why this job: Join a growing team and make an impact in the AI space.
- Qualifications: Experience with Spark, Scala, Java, and cloud storage platforms.
The predicted salary is between 60000 - 80000 £ per year.
My client is based in the London area, is currently looking to recruit an experienced Data Engineer to join their AI Analytics team.
They are one of the leaders within the AI space.
They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team.
They are backed by a huge multinational equity firm who are looking to bolster my client's financial position.
They are expected to see year-on-year growth, which will allow them to implement and utilise the most in-demand and cutting-edge technology on the market right now.
- Main 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.
- Preferred Background
- 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 No SQL databases such as Postgre SQL and Cassandra.
- Experience with systems like Kafka or Rabbit MQ.
- Ability to build and manage ETL pipelines using tools like Airflow.
This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan - or call for a catch-up in complete confidence.
Tenth Revolution Data Teams offer more opportunities across the UK than any other recruiter.
We're the proud sponsor and supporter of SQLBits, AWS RE: Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.
