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- Tasks: Build and maintain data pipelines that power analytics and machine learning.
- Company: Join a fun and innovative team at FanDuel, a leader in the industry.
- Benefits: Enjoy career development resources, competitive rewards, and a vibrant work environment.
- Why this job: Make a real impact by transforming data into actionable insights for business decisions.
- Qualifications: Experience in data engineering or analytics with strong SQL and programming skills.
- Other info: Embrace diversity and inclusion while growing your career in a supportive atmosphere.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision‑making across the company. In this role, you’ll contribute to the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high‑impact data use cases.
Responsibilities
- Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
- Write clean, efficient, and well‑documented code using tools like Python, SQL, and Spark.
- Ensure data is reliable, accurate, and delivered in a timely manner.
- Work with data analysts, data scientists, and product managers to understand requirements and 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.
- Monitor data pipelines 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.
Qualifications
- Experience in data engineering, analytics engineering, or software engineering with a focus on data.
- Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
- Hands‑on experience with modern data tools such as Databricks, Airflow, DBT, Spark, or Kafka.
- Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
- Experience working with cloud‑based data platforms (AWS, GCP, or Azure).
Preferred Qualifications
- Experience supporting BI, analytics, or data science teams.
- Familiarity with version control, CI/CD, and collaborative development workflows.
- Exposure to data governance, privacy, or compliance practices.
- Eagerness to learn new technologies and contribute to the growth of the team.
Benefits
- An exciting and fun environment committed to driving real growth.
- Opportunities to build really cool products that fans love.
- Career and professional development resources to help you refine your game plan for owning and driving your career and development.
- Be well, save well and live well – with FanDuel Total Rewards your benefits are one highlight reel after another.
Diversity, Equity and Inclusion
FanDuel 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. FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com. The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience‑wise, we’d love to speak to you!
Location: Edinburgh, Scotland, United Kingdom
Data Engineer employer: FanDuel
Contact Detail:
FanDuel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or Spark. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and coding challenges. Practise explaining your thought process clearly, as communication is key when working with teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, SQL, and any relevant tools like Spark or Airflow. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at FanDuel
✨Know Your Data Tools
Make sure you’re familiar with the data tools mentioned in the job description, like Python, SQL, and Spark. Brush up on your skills and be ready to discuss how you've used these tools in past projects. This shows you’re not just a theoretical candidate but someone who can hit the ground running.
✨Understand the Business Impact
Prepare to talk about how your work as a Data Engineer can drive business decisions. Think of examples where your data solutions have led to actionable insights or improved processes. This will demonstrate that you understand the bigger picture and can translate technical tasks into business value.
✨Be Agile and Collaborative
Since the role involves working in an agile team, be ready to discuss your experience with code reviews, sprint planning, and collaboration with stakeholders. Share specific instances where you’ve worked closely with data analysts or product managers to deliver successful projects.
✨Show Your Eagerness to Learn
Highlight your willingness to learn new technologies and adapt to changing environments. Mention any recent courses or certifications you’ve completed, especially those related to cloud platforms like AWS, GCP, or Azure. This will show that you’re proactive about your professional development and ready to grow with the team.
