Senior Data Engineer – Python, Scala, Spark, R, Hadoop
£50,000 to £75,000 depending on experience + share options and flexible
When did you last go into work and feel that you are changing the way data is used?
Do you feel you’re going day to day working on the same projects that just aren’t going anywhere?
Would you like to work with some of the world’s most well-known companies and help transform their data into information that will change the world by giving back to the end user?
Something exciting is happening in the London office of this purely data focused, nationwide company and there is a rare opportunity to join the team.
They have recently headhunted the CTO, who has a proven track record of delivering major data transformational programmes.
He’s built a highly talented team of Data Scientists, Engineers, and developers and is actively searching for at least 4 more of each to work on the greenfield pipeline.
You’ll be caught in a wave of energy, seeing the division grow around you, and with that comes opportunity to take the next step in your career – whether that’s managerial or into a different technical capacity.
But what about the here and now? Well what Data Engineer wouldn’t want to use Python, Scala, Spark, Hadoop? Wouldn’t want to have access to which ever technology they want to learn? Wouldn’t want to use cutting edge working practices? Well you’ll be using all those technologies to build large scale data systems which you’ll see changing the way people work immediately.
Your salary will range from £50,000 to £75,000 dependant on experience – plus benefits that include a bonus that pays up to 20%, 25 days holiday, pension matched up to 4%, private medical.
Call me, Jon Holland, on 0117 428 0600 or email me on jon @ isluk.co.uk to discuss further. If you don’t have a CV at this point, don’t worry, we can cross that bridge if you decide this company is for you after our conversation
Python, Scala, Spark, Hadoop, R
ISL (Incite Solutions Ltd) is acting as an Employment Agency in relation to this vacancy.