Associate Data Engineer

We are looking for an Associate Data Engineer to join the Data & Platforms team within Flutter Functions Global Platforms. You’ll work with various business verticals, helping shape the future of Global platforms and solutions.

This is an opportunity to grow your career while helping build our next-generation data platform within a modern Data as a Product operating model. You’ll work alongside and learn from senior engineers, using cutting-edge technologies to unlock business value and drive innovation.

KEY RESPONSIBILITIES

• Help transform raw data into useful products by building and maintaining data pipelines under the guidance of senior engineers
• Develop and maintain ELT/ETL workflows using SQL, Python and Spark/PySpark
• Follow our data ingestion and data modelling standards (medallion bronze/silver/gold) and add data quality checks to your pipelines
• Support our implemented BI solutions by monitoring jobs and queries and helping to tune performance
• Respond to user queries on data integrity, access and permissions, and escalate functional and technical issues where needed
• Provide day-to-day platform support : troubleshoot user requests across Databricks, AWS, permissions, compute and CI/CD
• Help monitor Databricks and AWS usage and build cost and usage reports/dashboards
• Write clean, tested, production quality code and keep documentation and runbooks up to date
• Join the on-call rota once onboarded, including support for specific events during large sporting events
• Actively learn new tools and practices, and share knowledge within your squad

TO EXCEL IN THIS ROLE, YOU WILL NEED TO HAVE

• 1+ years of experience in data engineering, software engineering, BI or a related role (including internships/graduate programmes)
• A degree in Computer Science, Engineering, Mathematics or a related field, or equivalent practical experience
• Good working knowledge of SQL and Python
• Exposure to Spark/PySpark or other distributed data processing technologies
• Basic understanding of cloud platforms such as AWS (S3, IAM, EC2)
• Understanding of data warehousing concepts: ETL/ELT, data modelling, and relational databases
• Familiarity with Git and version control workflows (branches, pull requests, code reviews)
• Exposure to Agile ways of working
• Strong problem-solving skills, attention to detail, and a willingness to learn
• Good communication skills and the ability to work with both technical and business users
• Willingness to be part of the on-call rota

GOOD TO HAVE

• Hands-on experience with Databricks (notebooks, Workflows/Lakeflow Jobs, Databricks SQL)
• Databricks certifications (Data Engineer Associate) and/or AWS certifications (Cloud Practitioner, Data Engineer Associate)
• Knowledge of Delta Lake and the lakehouse / medallion architecture
• Awareness of Unity Catalog concepts: catalogs, schemas, grants, groups and service principals
• Lakeflow Declarative Pipelines (DLT) , Auto Loader or Structured Streaming
• Exposure to streaming technologies such as Kafka and/or Apache Pulsar
• CI/CD with GitHub Actions; working with YAML configuration, Databricks Asset Bundles or Terraform
• Databricks CLI/SDK, REST APIs, and Linux/shell scripting
• AI/BI dashboards, Genie spaces or other BI tools (e.g., Power BI, Tableau)
• Exposure to GenAI on Databricks (Model Serving, Vector Search, AI functions) and AI coding assistants (e.g., Claude Code, GitHub Copilot)
• Basic knowledge of Kubernetes , Docker or ArgoCD
• Understanding of identity and access concepts (Okta/SSO, SCIM, AWS IAM)
• Interest in sports betting & gaming, or Finance data domains