Associate Data Engineer

Overview

Join the Data & Platforms team within Flutter Functions Global Platforms as an Associate Data Engineer, building and maintaining data pipelines under the guidance of senior engineers in a Data as a Product operating model.

What you'll do

• Build and maintain data pipelines under the guidance of senior engineers to transform raw data into useful products.
• Develop and maintain ELT/ETL workflows using SQL, Python and Spark/PySpark.
• Follow data ingestion and data modelling standards (medallion bronze/silver/gold) and add data quality checks to pipelines.
• Support 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, troubleshooting 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.

What you'll need

• 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.

Nice 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.

Details

• Location: Hyderabad, India (Hi-Tech City office).
• Work mode: Hybrid, 2 office days per week.