Hybrid Senior Data Engineer DataMesh Python Spark Senior Data Engineer DataMesh Python Spark
Fab Lab ABQ · nan, · Hybrid
About the job
Senior Data Engineer (DataMesh Python Spark) Remote UK to £80k
Are you a tech savvy Data Engineer looking for an opportunity to take ownership, working on complex and interesting systems? You could be joining a scale-up tech company within the Geospatial space.
The company has around eighteen satellites and radars that record images and data of the Earth, they collect vast amounts of data, as a Data Engineer you will help the company to productionise that data and provide actionable insights. They are currently developing systems that will help to provide alerts on floods, wildfires and wind / hurricane events - this can be used by insurance companies and for government organisations. The possibilities of the technology are vast.
As a Senior Data Engineer you will collaborate with the Technical Lead to design and build highly scalable and resilient solutions and provide easy to use workflow and orchestration capabilities for analytics users. You'll be building scalable services and tools to help partners implement, deploy and analyse large data sets with a high level of autonomy, ensuring that Machine Learning powered products are scalable and robustly executed within a cloud (AWS) based environment.
Location / WFH:
You can work remotely from anywhere in the UK on a fulltime basis.
About You
What's In It For You
As a Senior Data Engineer you will earn a competitive package:
Apply now to find out more about this Senior Data Engineer (DataMesh Python Spark) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.