Principal Data Science Engineer - Python/Hadoop/IoT - London

Evolution Recruitment Solutions
Covent Garden
11 Jan 2018
10 Feb 2018
Contract Type
Full Time
Principal Data Science Engineer - Python/Hadoop/IoT
Central London
65,000 - 74,000 + Car Allowance + Bonus

Engineering focused Data Scientist with a passion for innovation and collaboration.

The Data Science Engineer Role Overview:
This is a new, exciting and agile business within the Group and has a very clear and simple strategy - â?To create a better business that delivers a brilliant service for our customers and is a great place to workâ?. We are Marketing and IOT unit, which uses expertise to champion innovation and deliver our IOT strategy amongst other things. The Big Data team sits within the Marketing and IOT unit, and uses the power of data analytics to challenge status quos and create innovative solutions that make a difference.

Key Responsibilities of the Data Science Engineer: Build and maintain cloud data infrastructure: storage, pipelines, analytics platforms Support data scientists to design and handle very large datasets, understanding data processing at scale Deliver analytical solutions, analysing large and complex data sets using multiple technologies (Python, R, SQL, Google Cloud Platform, Hadoop). Create and develop data products and implement production tools Proactively investigate and discover new techniques, technologies and data sources to enhance our Big Data capabilities Be an inherent part of the team, helping design and drive both short and long term strategies Visualise and deliver analytical results in insightful, interesting and interactive ways using various technologies (Powerpoint, Qlikview, HMTL, Javascript, Tableau, other)The Ideal Candidate Engineering focused Data Scientist Python Development to an advanced level Big data and distributed platforms. Exposure to Java Programming or background in will be hgihly beneficial NoSQL, Big data analytics platform, Massively parallel processing engines (BigQuery, Impala, BigTable, HBase, ). Good understanding of different types of big data storages. Message brokers (Kafka, Pub/Sub). Virtual environments, containers (Docker/Kubernetes), advanced distributed version control system. Git guru. Team player, happy to collaborate ideas and contribute collectively for a common goal. Excellent problem solver with real curiosity and drive. Happy to regularly take on new challenges. Motivated and quick to pick up any newly required skills.The Data Science Engineer Package:
- 65,000 to 74,000
- Car or Car Allowance
- Annual Bonus
- Pension
- Healthcare
- 25 days leave + Bank holidays
- High level training budget and resources
- Unrivalled growth potential
- Extensive investment in technology.

If you are keen to discuss further please send your up to date CV through to [Email address removed] or call me on [Phone number removed]

Please note that no terminology in this advert is intended to discriminate on the grounds of age, and we confirm that we will gladly accept applications from persons of any age for this role.

If you would like to apply for this job please send your CV to [Email address removed]
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