Lead Data Engineer

bet365
Stoke-on-Trent
1 year ago
Applications closed

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Who we are looking for

A Lead Data Engineer, who will take ownership of providing data to the Sports Analysis department, ensuring that it is in a position where analysis work can be completed.


The Sports Analysis department is responsible for designing, creating and maintaining the mathematical models used by the trading tools.


Your focus will be on sourcing and engineering data to get it to a position where analysis work can be completed.


The day-to-day work is interesting, challenging and fast paced amidst a hardworking and delivery focused company ethos. We hire people with a broad set of technical skills who are ready to tackle some of technology’s greatest challenges.


This role is eligible for inclusion in the company’s hybrid working from home policy.


Preferred Skills, Qualifications and Experience

  • Master’s or PhD in Data Science, Mathematics, Computer Science, or relevant experience in a related field.
  • Commercial experience in a senior, lead or management role.
  • Knowledge of Google BigQuery, Google Cloud Platform (GCP), Analytics Hub and BigLake.
  • Experience implementing ETL (Extract, Transform, Load) processes.
  • Experience cleaning unstructured data.
  • Experience with technologies such as C#, SQL, Go, Python, R and Excel.
  • Delivery and results focused.
  • A keen interest in a wide range of sports and the online gambling industry.
  • Excellent communicator in technical areas.
  • Good understanding of probability and statistics.


Main Responsibilities

  • Taking a lead role to ensure that necessary data is available to the Sports Analysis department.
  • Designing, maintaining and updating data pipelines, with a view to provide data for machine learning model training.
  • Ensuring data is clean and in a position for analysis to be conducted.
  • Being involved in the development of processes and standards.
  • Gaining and maintaining an understanding of the pricing algorithms and technical solutions that the team are responsible for.
  • Instilling quality as a default requirement throughout all aspects of data engineering within the team.
  • Providing estimates and ensuring these can subsequently be delivered.
  • Understanding, identifying and mitigating any risks in delivery of work.
  • Mentoring members of the team, ensuring distribution of knowledge whilst being available to team members to assist with any issues.
  • Creating and maintaining relevant documentation.


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