Ref: 180521ATJFI_1621354749

Data Engineer (Data Science, ML)

England, London

  • 50000 to 65000 GBP
  • Engineer Role
  • Skills: AWS, Python, Scala, R, Machine Learning, ML, BI, Data Engineer, Data Scientist, Data Analyst, Spark, Databricks, ETL, Big Data, Analytics
  • Level: Mid-level

Job description

Data Engineer (Data Science, ML)


Data Engineer / Scientist

AWS, Data Lake, Big Data, Machine Learning

Sports / Entertainment Industry

Remote (UK Based Candidates)| Up to £65,000

2 stage interview process

Our Client are a UK based product company who have developed an innovative entertainment platform adopted by a range of well known, major sporting brands across the world and utilises real-time data through cloud technologies.

Due to on-going success, they are now building out a new Data Analytics function made up of a Data Engineering and Data Science subject matter experts, who will contribute to the projects in a hybrid capacity and play a crucial role to influence the overall direction of the brand and evolution of the platform moving forward.

The ideal person will come from a Data Analytics background (Data Engineer/Data Scientist/Data Analyst) with strong Software Engineering, ETL data pipeline and Machine Learning expertise.

This role offers a genuine opportunity for both personal and professional development. You will receive full support and all the tools required to both succeed and expand your skill set. You will have a keen interest in Cloud technologies (preferably AWS) and the desire to progress within your career by growing alongside the business.

Technical Requirements

* AWS (S3, EMR, Glue)
* Python
* End to End ETL Data Pipeline
* Data Lake
* Spark / Databricks
* Machine Learning Models


* Building and design of Data pipelines
* Work with different datasets/structures
* Real-time Big Data processing
* Train and run ML models
* Analytics and Insights through BI tools
* Build Data infrastructure and manage Data lake


* Salary up to £65,000
* Annual training and development budget
* Private Health Insurance
* Pension plan
* Extra holiday allowance
* Regular networking and social events
* Modern offices and remote working options
* Gym/Leisure memberships

For more information, please contact ALEX from Jefferson Frank