Data Engineer - Python, Spark, Google Cloud
Start-up Data Science Company (20 people, looking to double in size this year)
A Data Science Company are looking to add talented Data Engineers to build their data pipelines using Python and Spark (amongst many other technologies), to access data from alternative data sources including satellite information, web crawling, and social media data. This will be used to apply NLP and AI techniques to disrupt risk assessment within Insurance. This is a great opportunity to join a well backed and rapidly growing start-up looking to change the face of an established industry using cutting-edge analytics.
The company were founded around 4 years ago as a spin-off from a top-tier university and have a team of highly intelligent data science and engineering experts. They use a mixture of big data processing and advanced data science to give a unique picture of risk for their clients. They already have a number of established clients and are currently going through their 2nd phase of growth after a round of funding and want to double in size. They are are using a Google Cloud Platform, programming in Python, and incorporating data streaming in Spark.
YOUR ROLE AND RESPONSIBILITIES - Data Engineer
As Data Engineer, you will:
YOUR SKILLS AND EXPERIENCE
To qualify for this Data Engineering Role, you will need:
HOW TO APPLY
In order to apply for this role, please do so via this site. For more info, reach out to Ross at Harnham.
KEYWORDS: Data Engineer, Python, Start-up, Google Cloud, Spark, MapReduce