At a Glance
- Tasks: Design and maintain data pipelines using Python and SQL, mentoring junior engineers.
- Company: Liberis is a dynamic company focused on real-time data solutions in Greater London.
- Benefits: Opportunity to work with cloud platforms like BigQuery and collaborate across teams.
- Other info: The role involves ensuring the health and efficiency of data systems.
- Why this job: Join a fast-paced environment where your development skills will shine.
- Qualifications: Experience with cloud data platforms and infrastructure as code is essential.
The predicted salary is between 60000 - 80000 Β£ per year.
Liberis is seeking a Data Engineer in Greater London to design and maintain data pipelines using Python and SQL. The ideal candidate will have experience working with cloud data platforms, such as BigQuery, and will be responsible for the health and efficiency of data systems.
The role includes mentoring junior engineers and collaborating across teams to establish and meet data requirements. Candidates with a strong background in development and infrastructure as code will excel in this fast-paced environment.
Senior Data Engineer β Real-Time Pipelines & ML Features employer: Liberis
Liberis, located in Greater London, offers a vibrant work culture with opportunities for professional growth. The team focuses on innovative data solutions, making a significant impact in the industry. Employees benefit from collaboration across various teams and projects.