google analytics alternative Head of Data Engineering (£80-90K) job vacancy in London – Accounting/Financial/Insurance jobs & vacancies on Field Recruitment
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Head of Data Engineering (£80-90K)

Date Posted: 31-Jan-2018
Closing Date: 30-Jun-2018
Location: London
Salary: Minimum - £80,000.00, Maximum - £90,000.00 per Annum
ABOUT BETTOR BELIEVE
Bettor Believe is a specialist consultancy for the sports betting, proprietary trading and FinTech sectors. With our global network spanning every continent, and our specialist sector knowledge, we are well placed to offer career advice and bring you the very latest opportunities available in the market.
JOB DESCRIPTION
The headlines:

One of the fastest growing bitcoin start-ups in the world
You would define the company’s big data environment and put your own stamp on strategy
Work on a lot of greenfield projects across analytics and machine learning with extremely large data sets
Highly talented engineering team to work with

The longer version:

Our client has grown at an exceptional rate since inception 4 years ago, they develop technology and product offerings in virtual currencies for clients in the online gaming and sports betting sectors.

A world class engineering team has been a key factor in fuelling the company’s growth to date, they now seek to add high calibre data engineering expertise to drive the next phase of growth. This new data engineering team will deliver exponential growth by helping to deploy cutting-edge machine learning techniques in a number of different areas.

The role:

As Head of Data Engineering, you will define, build and manage the data analytics environment, helping the company to create and deploy real-time machine learning algorithms.

The role offers an excellent opportunity to get in early and be a part of something as it grows, helping define and shape from the ground up. Backed by the CTO, Head of Data Science, and the engineering team, you will have the opportunity to grow a team operating in a data-rich testing environment.

Responsibilities:

Input into the company data strategy
Help build the new data lake and associated data pipelines
Help design and implement the architecture for machine learning and scoring
API development
Excel in a self-managed, team environment, working pragmatically across geographies and with teams of different disciplines

Required skills:

Extensive experience as a data engineer, helping to build data pipelines
Strong programming skills: Python and/or Scala are preferable
Experience implementing Big Data technologies such as Spark, messaging services such as RabbitMQ or Kafka, and workflow management tools such as Airflow
SQL and NoSQL (ideally including Postgres, Redis, MongoDB and/or Presto)
Experience with AWS
Strong academic qualifications in a quantitative discipline such as mathematics, physics, computer science or engineering
A desire to continuously learn and adapt to innovative technologies and requirements

My client embraces ideas, creativity and innovation, but base all decisions on sound analysis of all available data sources. Of course, they work hard, but it is important for them that employees have an enjoyable time doing it. Therefore, a passion for your work and an easy-going nature will be key traits to possess.

JOB TYPE
Permanent





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