Data Engineer (Lead) (Remote)

Job description

IMG ARENA is looking to maximise the value of the rich variety of sports data available through data enrichment, sports and excitement analytics and by building proprietary metrics. As a Data Engineer you will be part of an agile Data Engineering and Data Science team (DataOps) collaborating with people across the business, from product development teams to business stakeholders, with the responsibility of championing the highest standards of storage, quality, feature engineering, analysis and democratisation of both sports and product data. You will design, tune and deploy machine learning models to solve problems such as classification of player tactics, momentum tracking, and understanding performance related to fatigue. You will help the engineering community learn and grow as industry best practices for Data Engineering evolve.*What will you do?** Line manage and mentor a team of data engineers and data scientists* Drive the delivery and quality of sports data products* Building data processing pipelines both streaming and batch* Feature engineering, combining data sets from internal and external sources* Exploring and innovating with sports data to discover new data products* Managing and maintaining standards for Data Analysis tools used across the organisation* Implementing the full lifecycle of machine learning models* Engaging with sports data providers about source data quality* Contributing to future design/architecture solutions that directly impact the business***What have you done?*This role will evolve with the maturity of the data platform and the product offerings we provide. If you have a mixture of the following experiences but not all of them, we can help you grow and learn.* Experience in a technical leadership role* Functional programming (e.g. python, java, scala, go)* Large-scale data manipulation and processing (e.g. SQL, Spark, BigQuery, Pandas)* Streaming applications (e.g. Akka, Spark Streaming, Kafka Streams)* Data analysis, reporting and visualization (e.g. Tableau, PowerBI, d3.js, Matplotlib)* Machine learning model lifecycle, developing, tuning, deploying, health monitoring (e.g. scikit-learn, keras, TensorFlow, SageMaker)* Cloud data platform experience (AWS, GCP or Azure)* Experience with configuration management (e.g. Terraform, Ansible, Docker, Kubernetes)* Analytical mind with problem-solving skills* Approachable and a proficient communicator across both technical and non-technical organisational levels* Passion for sport is a bonus!-* Life Insurance* Pension* Private Medical Insurance* Income Protection* Season Ticket Loan* Dental Insurance* Cycle To Work* Eye Care* Will Writing* Give As You Earn* Employee Assistance Programme* Wellness* Gym Membership* 1st stage with Hiring Manager* A Test* Final Stage InterviewPython, Java, Scala, Go, SQLPython, Scala, Java, Go, SQL, Spark, BigQuery, Pandas

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