Senior Data Engineers (Python)- Fanduel (Hybrid/ Remote)
Cluj-Napoca, Romania
Betfair
We are the largest technology hub of Flutter Entertainment Plc, an FTSE 100 company, with over 1,800 people powering the world’s leading brands in sports betting, gaming and entertainment.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.
This is not a sports job. This is a data job.
THE POSITION
Data drives our organization. As a Data Platform Engineer at FanDuel, you will help 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 personalized 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.
In this role, you will 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. You will help us build the automated tools that will ingest, 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.
We are looking for Data Platform Engineers of all skill levels or experienced engineers from other disciplines who may be looking to make the move to a big data environment. If this describes you, read on – we want to hear from you!
Skills you have now or will quickly develop a deep understanding for:
- Passion for building highly scalable and available systems used by Data and Software Engineers, capable of efficiently running hundreds of data pipelines at the same
- AWS as a cloud environment and associated tools (EKS, EC2, EMR, S3)
- Orchestration and processing methods of large workloads using distributed data systems (Airflow, Spark, Hadoop)
- Processing real-time streaming workloads with distributed event systems (Kafka, Kinesis, Google PubSub, Flink, Spark Streaming)
- Proven experience writing Python, Java or equivalent object-oriented programming languages
- Proven experience working with SQL, relational databases, and cloud data stores
- Infrastructure as Code (IaC) tools for provisioning and managing infrastructure (Terraform, CloudFormation, Puppet, etc.)
- Excellent understanding of the infrastructure set-up behind a scalable data platform and the design patterns to build it
- A winning attitude and an ability to quickly learn new technologies is critical
Things you will get exposure to:
- Experimenting with new technologies, solving problems in the most efficient way
- Building, running and maintaining enterprise production platforms
- Data security and privacy (e.g. GDPR, CPP)
- Data governance and data testing frameworks (e.g., Alation, Great Expectations)
- Continuous integration and delivery of production data products
- An inclusive culture that expects excellence and priorities your growth as an engineer and your well-being as a person
- Providing On-call support to cover major incidents
As you grow at FanDuel, you will:
- 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
- Apply your experience and intellect as part of an autonomous team with end-to-end ownership of key components of our data architecture
- Serve as a mentor to more junior engineers not only in cultivating craftsmanship but also in achieving operational excellence – system reliability, automation, data quality, and cost-efficiency
Data engineering is a rapidly changing field – most of all, we’re looking for someone who enjoys experimenting, keeping their finger on the pulse of current data engineering tools, and always thinking about how to do something better.
About FanDuel:
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. And make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give.
What you can expect:
- 25 days of annual leave;
- Sharesave scheme;
- „Flexible Benefits” of your choice;
- Private health insurance (includes dental insurance and health assessments);
- Free parking;
- Thousands of courses online through ‘Udemy'.
Ways of working:
Flexible working is our way of working! We're a diverse workforce and therefore a 'one size fits all' approach isn't necessarily best. Whatever your personal needs may be, let's have a chat and see how we can accommodate them;
We thank all applicants for their interest, however only the suitable candidates will be contacted for an interview. By submitting your application online, you agree that: your details will be used to progress your application for employment. If your application is successful, your details will be used to administer your personnel record. If your application is unsuccessful, we will retain your details for a period no longer than two years, in order to consider you for prospective Paddy Power Betfair role.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Big Data CloudFormation Data governance Data pipelines Data quality EC2 Engineering Flink Hadoop Java Kafka Kinesis OOP Pipelines Privacy Puppet Python RDBMS React Security Spark SQL Streaming Terraform Testing
Perks/benefits: Career development Flex hours Health care
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