Senior Data Engineer

OVERVIEW OF THE ROLE ?

We're on the lookout for a Senior Data Engineer to join the Data and Platforms team within Flutter Functions Global Platforms department. Youll be working within a squad dedicated to our Global Sportsbook and Trading business 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 on AWS and Databricks with 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 experience in 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 with Agile software development and DevOps practices
• Experience and knowledge in data migration techniques and processes
• Excellent knowledge and experience of one of the cloud big data solutions such as the AWS Glue Ecosystem, Microsoft Fabric and GCP. Demonstratable experience of using Databricks in 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 as Kafka and/or Apache Pulsar.
• Deep understanding of data warehousing and data architecture concepts
• Experience with Python scripting, Spark and SQL for data engineering
• Experience with CI/CD solutions (i.e Github, argoCD, artifactory etc.)