Data Engineer 

Data Engineer    Sports Analytics

This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining us, you’ll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry. This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics.

Ideal for those eager to blend their passion for sports with cutting-edge technology, aiming to make significant contributions in sports analytics. If you’re a detail-oriented innovator and team player, we’re excited to hear from you.

Responsibilities

  • Design, construct, install, test, and maintain highly scalable data management systems.
  • Ensure systems meet requirements and industry practices for data quality and integrity.
  • Integrate data management technologies and software tools into existing structures.
  • Create data tools to support sport data modelling, prediction and analytics.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Essential Skills

  • Proven experience as a Data Engineer, with expertise developing scalable data pipelines.
  • Strong object oriented programming skills, particularly in Python.
  • Experience with data lakes and data warehousing solutions (Spark, Dataflow, BigQuery).
  • Knowledge of SQL and experience with relational databases, as well as NoSQL databases
  • Familiarity with cloud services (preferably GCP) and understanding of its ETL frameworks.
  • Desired: experience with data pipeline and workflow management (Airflow, Composer).
  • Desired: Familiarity with machine learning algorithms and data science principles is a plus.

Qualifications

  • Degree in Computer Science, Engineering, or related field.
  • Excellent communication skills, adept at remote collaboration.

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