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FanDuel

Senior Data Engineer

Edinburgh, United Kingdom

FanDuel Group is a world-class team of brands and products all built with one goal in mind — to give fans new and innovative ways to interact with their favourite games, sports, teams, and leagues. That’s no easy task, which is why we’re so dedicated to building a winning team.

Every weekend, we have a half million of our closest friends over to our place to watch the game and, well maybe, we make a few friendly bets – actually, we usually make about 3 million of them.

Our customers see odds, lines, spreads, play-by-play updates, deposits, and withdrawals.

We see only data, data, data, data, data, and data.  Each contest generates tens of millions of individual data points that have to be collected, combined, understood, and acted on.  All at the speed of the game. No time-outs.

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This is not a sports job.  This is a data job. 

Data drives our organisation so we’re looking for Data Engineers to join our Data Domain where you’ll be experimenting, keeping your finger on the pulse of current data engineering tools, and always thinking about how to do something better. 

What you’ll be doing:

The Data Engineer at FanDuel, helps us unlock the full potential of vast amounts of real-time and relational data, provide our business with insight, and delight our customers with a world-class personalised experience.  You will help us turn every click our users make, every bet, every goal, every corner, and every tackle into a real-time stream of knowledge allowing us to make better and faster decisions – outplaying our competition.

You will be experimenting with new technologies, solving problems and building, running and maintaining enterprise product platforms. Furthermore you will get exposure to data security and privacy, data governance and testing frameworks alongside continuous integration and delivery of production data products.

  • Partner with the engineering teams building our online applications, data scientists mining our data and training our models, and our analysts who make the data mean something.
  • Help us organise, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace
  • Building ETL/ELT pipelines using Python and Databricks  
  • Modelling and querying data using SQL and DBT
  • Orchestrating data workflows with Apache Airflow
  • Processing large workloads using distributed data systems such as Redshift, Athena, Spectrum, Spark, Hadoop, and Trino
  • Processing real-time streaming workloads with distributed event systems such as Kafka and Kinesis

What you’ll bring:

We are looking for Data Engineers of all skill levels or engineers from other disciplines who may be looking to make the move to a big data environment.

  • Designing and maintaining production database systems leveraging your knowledge of different types of data stores, their use cases, trade-offs, performance, and limitations
  • Implementing data lake, warehouse, and lakehouse architectures leveraging your knowledge of data archiving and retrieval solutions and their relationship to access vs. cost
  • Leadership and teaching within a cross-functional team, embodying a willingness to grow and to grow those around you and actively seek continued learning opportunities
  • Experience or interest in machine learning and data science alongside business intelligence tools such as Tableau, KNIME or Looker

How you'll benefit:

  • Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager – both providing equal opportunities for compensation and advancement
  • Mentorship and professional development resources to help you refine your game
  • Flexible holiday allowance and ways of working
  • The latest technology and hardware
  • Competitive benefits and bonus program

FanDuel Group is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgement or harassment.  Our focus is on developing employees so that they reach their full potential.

Job ID: 2283883
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • FSA
    • HSA With Employer Contribution
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
  • Parental Benefits

    • Non-Birth Parent or Paternity Leave
    • Birth Parent or Maternity Leave
  • Work Flexibility

    • Flexible Work Hours
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
  • Vacation and Time Off

    • Leave of Absence
    • Personal/Sick Days
    • Paid Holidays
    • Unlimited Paid Time Off
  • Financial and Retirement

    • Performance Bonus
    • Stock Purchase Program
    • 401(K) With Company Matching
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Access to Online Courses
  • Diversity and Inclusion

    • Woman founded/led

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