At a Glance
- Tasks: Build and maintain data pipelines and scalable API applications to drive insights.
- Company: Join FanDuel Group, a leader in sports betting and gaming innovation.
- Benefits: Enjoy competitive pay, inclusive culture, and opportunities for growth.
- Other info: Be part of a diverse team that values inclusion and teamwork.
- Why this job: Make an impact with cutting-edge technology in a dynamic, fast-paced environment.
- Qualifications: Experience in software development, data applications, and collaboration skills.
The predicted salary is between 63000 - 77000 £ per year.
Fan Duel Group is a world-class team of brands and products that deliver sports betting, gaming and entertainment to millions of US sports fans every day.
That’s no easy task and wouldn't be possible without a fantastic team who have helped us pioneer new products and innovative features that make us a leader in the industry.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland.
The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
Fan Duel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
THE POSITIONOur roster has an opening with your name on it We are looking for a Data API Engineer (Software Engineer with interest in Data applications) to join our growing team and help build the Applications with REST API endpoints to provide recommendations based on data pipelines, ML Model and infrastructure that power analytics, machine learning, and drive business and customer insights across the company.
In this role, you’ll contribute to the design, development, and maintenance of reliable Fraud recommendation applications while collaborating with stakeholders to supporthigh-impact data use cases.
The ideal candidate is a strong technical contributor who enjoys working with building software and data applications at scale, solving practical problems, and continuously learning in a fast-paced environment.
If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.
THE GAME PLANEveryone on our team has a part to play Build & Maintain Data Pipelines Design, build, and maintain scalable Python Flask API applications or similar programming languages to achieve low latency response.
Understanding and experience in developing batch and stream data ingestion or developed applications leveraging SQL database like Postrgres DB or No SQL/Redis DB.
Implemented REST API endpoints on Kubernetes cluster using API Gateway like KONG.
Ensure API response is reliable, accurate, and delivered in a timely manner.
Write clean, efficient, and well-documented code and test cases using tools like Python, SQL, and Pyspark (optional).
Understands containerization and Kubernetes deployment using Argo CD.
Collaborate Across Teams Partner with Senior Engineers in code reviews, design discussions, planning sessions and team ceremonies, asking questions and sharing ideas Work with data analysts, data scientists, and product managers to understand requirements andn deliver actionable data solutions Translate business questions into engineering tasks and contribute to technical planning.
Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
Quality & Operations Monitor applications and troubleshoot issues in a timely, systematic manner Implement data quality checks and contribute to observability and testing practices Document data sources, transformations, and architecture decisions to support long-term maintainability PLAYER CONTRACTWe treat our team right Fan Duel is an equal opportunities employer, and we believe, as one of our principles states, “We are One Team!”.
As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law.
We believe Fan Duel is strongest and best able to compete if all employees feelvalued, respected, and included.
Data Engineer in Midlothian employer: FanDuel
At FanDuel, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our extensive professional development resources and competitive benefits, ensuring that every team member can thrive both personally and professionally. Join us in a fast-paced environment where your contributions directly impact the #1 sports book in America, all while enjoying the perks of a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Midlothian
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like FanDuel!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at FanDuel.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like FanDuel.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer in Midlothian
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at FanDuel, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at FanDuel. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at FanDuel
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at FanDuel!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
