Senior Data Engineer

We're on the lookout for aSenior Data Engineerto join theData and Platforms team within Flutter FunctionsGlobal Platforms department. Youll be working within a squad dedicated to ourGlobal Sportsbook and Tradingbusiness vertical. GSTs mission is to empower our brands to shape the future of sports betting.

You will be provided to work on a greenfield data platform based onAWSandDatabrickswith datasets that range from the global Bet Stream processes 4B bets yearly through to our odd pricing services which can generate hundreds of thousands updates for a single sporting event. We are building a unique operating model where we are lead by our Data as a Product mindset.

If you are a passionate Data Engineering Professional, you have the chance to be part of a team that looks to build out our next-generation data platform, leveraging new technologies and techniques to maximize the business value out of our data assets and empower innovation.

KEY RESPONSIBILITES

• Transform raw data into useful data products. Strive for efficiency by aligning data products with business goals.
• Support our implemented BI solutions by monitoring and tuning performance queries and data processes, addressing user questions concerning data integrity, and communicating functional and technical issues.
• Demonstrate hands-on skills in processing large data sets, expertise in data structure, data access patterns, Big Data concepts, and cloud computing.
• As driven by availability requires

  join on-call rota

  for data products supported by data engineering or for specific events that matter (large sporting events).
• Deliver excellent production quality code, mentor other developers to do so, and promote the production of reusable code and modules where appropriate, applying principles of Agile delivery.
• Mentor and coach more junior members of your squad.
• Contribute to choosing the right technology and ensuring proper data design and implementation in various projects and solutions.

TO EXCEL IN THIS ROLE, YOU WILL NEED TO HAVE

• 4+ years of experiencein development, deployment and operation of data technologies and platforms
• Experience in designing scalable data warehousing solutions.
• Experience in designing and implementing efficient ETL processes and data pipelines.
• Experience withAgilesoftware development andDevOps practices
• Experience and knowledge indata migrationtechniques and processes
• Excellent knowledge and experience of one of thecloud big data solutionssuch as the AWS Glue Ecosystem, Microsoft Fabric and GCP. Demonstratable experience of usingDatabricksin one of these settings is a bonus.
• Proficiency in SQL, database performance optimization and working with large datasets.
• Understanding of database and analytics technologies in the industry including Relational, Vector, Graph and NoSQL databases.
• Data integration experience from streaming sources such asKafkaand/or Apache Pulsar.
• Deep understanding of data warehousing and data architecture concepts
• Experience withPython scripting,SparkandSQLfor data engineering
• Experience withCI/CD solutions(i.e Github, argoCD, artifactory etc