IT & Software

Data Engineer

FanDuel

Edinburgh · City of Edinburgh · United Kingdom

Overview

In this role you will design, build, and maintain scalable data pipelines and infrastructure that power analytics, machine learning, and business decision-making. You will work closely with data analysts, data scientists, and product managers to deliver reliable, timely data solutions at scale. The position offers a fast-paced, collaborative environment where you’ll influence data quality, observability, and architecture decisions. This is an opportunity to contribute to data-driven growth at FanDuel and shape how teams leverage data to drive impact.

Pay / Benefits
  • competitive compensation
  • professional development opportunities
  • insurance and paid leave policies
  • Total Rewards benefits
  • fun and growth-oriented environment
Responsibilities
  • Design, build, and maintain scalable batch and streaming data pipelines for analytics and operations
  • Write clean, efficient code in Python, SQL, and Spark
  • Ensure data reliability, accuracy, and timely delivery
  • Collaborate with data analysts, data scientists, and product managers to translate requirements into data solutions
  • Participate in code reviews, sprint planning, and agile ceremonies
  • Monitor pipelines, troubleshoot issues, and implement data quality checks
  • Document data sources, transformations, and architecture decisions for long-term maintainability
Key requirements
  • Experience in data engineering, analytics engineering, or software engineering with a data focus
  • Strong SQL skills; familiarity with Python, Java, or Scala
  • Hands-on with Databricks, Airflow, DBT, Spark, or Kafka
  • Understanding of data modeling, warehousing, and ETL/ELT best practices
  • Experience with cloud data platforms (AWS, GCP, or Azure)
  • Experience supporting BI, analytics, or data science teams
  • Familiarity with version control, CI/CD, and collaborative workflows
  • Exposure to data governance, privacy, or compliance practices
  • Eagerness to learn new technologies and contribute to team growth
  • Collaboration across teams
  • Effective communication
  • Problem-solving mindset
  • SQL
  • Python (preferred)
  • Spark

Reference: WJ-747_30185311

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