Data Engineer - Python / Spark / NoSQL / Cassandra / Kafka / Scala / Energy Sector
EXCITING DATA ENGINEER POSITION AT A FAST-GROWING ENERGY START-UP COMPANY BASED IN LONDON!!
- 1-2 years commercial experience
- Excellent career progression and opportunity to work with an up-to-date technical stack
- Python / Spark / NoSQL / Cassandra / Kafka / Scala / Energy Sector
- Competitive salary
- To apply please call or email
Based in London, we are a fast-growing Energy utilities start-up company that has a big focus in Data. We are looking to grow our workforce and as a result we're looking to take on a Data Engineer with Python / Spark / NoSQL / Cassandra / Kafka / Scala / Energy Sector to continue our success.
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WHO ARE WE?
We are one of the fastest-growing Energy start-ups in London for 2017 and we plan on continuing our success story. We have gradually built a customer base and our feedback is fantastic. We have achieved our success by leveraging data to determine the best energy prices and allow our customers to buy energy in 30-minute intervals to match their individual lifestyle. Our forward-thinking strategy is why we are the energy company of tomorrow and we are very excited about what the next year brings.
WHAT WILL YOU BE DOING?
As Data Engineer, you will work in the tight-knit Data team and you will help to build our scalable data-architecture. You will be responsible for developing a Smart Energy solution which will involve the development of a framework that will help to predict Customer Energy patterns.
Because of the nature of the project and future projects, you will have the opportunity to work with a fantastic technical stack. You will have access to Python and its libraries, Spark, Cassandra and Kafka, as well as Scala to use as a programming language.
WE NEED YOU TO HAVE
- 1-2 Years commercial experience is a must
- Extensive Python experience
- Strong use of Spark
- NoSQL experience (Cassandra preferred)
- Data streaming experience
NICE TO HAVE
- Experience working in the Energy/Utilities sector
- Degree in Computer Science
TO BE CONSIDERED
Please apply by clicking online or emailing me directly to . For further information please call me on / . I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable please leave a message and either myself or one of my colleagues will respond. By applying for this role you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on Twitter @BigDataJames or connect with me on LinkedIn, just search James Lovick in Google! I look forward to hearing from you. IND123
Python / Spark / NoSQL / Cassandra / Kafka / Scala / Energy Sector
- Energy Sector