Senior Data Engineer (Scala / Spark) - Remote interviews
Senior Data Engineer (Scala / Spark)
Product focused organisation
This is an opportunity to join a growing team with a focus on search intelligence, primarily Google search. The machine learning models (2 of which are patented) this organisation uses, are used to create insights for the data visualisation platform in order to manage their client's marketing campaigns.
Joining the data function of this organisation, you will be working very closely with the CTO, Data Architect and Data Scientists on integrating models and Machine Learning models processing 50 million types of data. They have 7 machines running every minute and will give you access to huge volumes of data. The original builders of the platform are now the current CTO and Data Architect after 7 years in the business so there are clear routes for progression within the company.
Key skills to help you excel in the role:
- Solid experience with Big Data using Java and Scala
- Data processing (Hadoop, Spark)
- Knowledge of Amazon Web Services a plus (other cloud technologies accepted)
- Message-broker / stream-processing tools such as RabbitMQ / Kafka
For the time being, this company are working remotely and they intend to do so for the foreseeable future until it is safe to head back in to their Central London hub. They will also be conducting interviews for this position via Skype / Google Hangout and are keen to make a hire due to the recent upturn in demand they have received.
Contact: Iain Moncaster - Data Engineering and Analytics, London
Telephone: 0191 338 6631
Jefferson Frank are the global leader in Amazon Web Services (AWS) tech recruitment and the only brand focused on AWS - with teams focusing purely on Big Data and Analytics, Data Science, DevOps, and development. With a constant flow of new working opportunities, be sure to check out the latest roles at jeffersonfrank.com