Staff Data Engineer

Staff Data Engineer

Edinburgh Full-Time 48000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the design and implementation of critical data infrastructure and products.
  • Company: Join FanDuel Group, a leader in sports betting and gaming, part of Flutter Entertainment.
  • Benefits: Enjoy flexible working, a great financial package, and personal development opportunities.
  • Why this job: Work on exciting challenges in a dynamic environment with a supportive team culture.
  • Qualifications: 8+ years in data engineering, expertise in modern tools like Spark and AWS required.
  • Other info: Diversity and inclusion are core values; all backgrounds are encouraged to apply.

The predicted salary is between 48000 - 84000 £ per year.

FanDuel 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. Whether you’re looking for better career progression, improved financial security or just a better sense of belonging, we believe we’ve created a culture in which everyone can succeed, no matter how you got here. FanDuel Group is a subsidiary of Flutter Entertainment plc, the world\’s largest sports betting and gaming operator with a portfolio of globally recognized brands and a constituent of the FTSE 100 index of the London Stock Exchange. The Position Our roster has an opening with your name on it! We are seeking a Staff Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you’ll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business function use cases across the company. You will collaborate closely with engineers, product managers, and business stakeholders to architect data solutions that are performant, reliable, and built with a long-term, customer-centric mindset. Architect High-Impact Data Systems Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needs Define standards for data modeling, data product design, and pipeline orchestration using modern tools and cloud-native technologies Collaborate with cross-functional stakeholders to translate business and analytical requirements into end-to-end data solutions Establish and enforce engineering best practices around code quality, testing, documentation, and deployment Contribute to the evolution of the data platform, ensuring systems are modular, interoperable, and resilient Run technical design and code reviews, mentoring and collaborating with peers and raising the bar for engineering excellence Lead Strategic Initiatives Partner with data platform teams, analytics, and data science to deliver reusable data assets and shared infrastructure Identify and resolve architectural bottlenecks in the current data platform and propose improvements that reduce complexity and boost performance Drive initiatives that improve data quality, lineage, observability, and system reliability Influence and Collaborate Across Teams Act as a technical liaison between engineering, product, and analytics teams, ensuring alignment on architecture and data strategy Provide technical leadership and guidance to other data engineers and contribute to the team’s overall growth and maturity Help evaluate and onboard new technologies, frameworks, and practices to keep our stack modern and efficient If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you! What We’re Looking For What we\’re looking for in our next teammate: 8+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java) Demonstrated experience owning complex technical systems end-to-end, from design through production Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Preferred Qualifications Experience designing data platforms that support analytics, machine learning, and operational workloads Familiarity with data governance, privacy, and compliance frameworks Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS) Experience with infrastructure-as-code and data platform observability (e.g., Terraform) What You Can Expect Interesting work – working in a fast-paced and ever-changing industry, new problems and exciting solutions are never too far away. There are always opportunities to learn new skills and broaden your horizons A sense of achievement – Our teams own their own software and when that awesome new feature ships to users and the positive feedback starts rolling in, you can feel really proud of what you and your team created Personal development – clear and defined career pathways for every role at every level, a supportive manager, loads of learning opportunities and even 10% of your time to dedicate to your learning. Belonging – everyone at FanDuel works for each other, we win together, make mistakes together and have lots of fun doing it. Trust – A trusting work environment where productivity is valued above all else, giving you autonomy and ownership of your time and work Great financial package – Including salary, bonus, pension, private healthcare, share save scheme, flexible working & holiday policy along with a number of other benefits. 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. 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! #J-18808-Ljbffr

Staff Data Engineer employer: FanDuel

At FanDuel Group, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. With a strong focus on personal development, we offer clear career pathways, ample learning opportunities, and a supportive environment where collaboration and innovation are at the forefront. Our competitive financial package, combined with a commitment to diversity and a sense of belonging, makes us an exceptional employer for those looking to make a meaningful impact in the exciting world of sports betting and gaming.
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Contact Detail:

FanDuel Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Data Engineer

✨Tip Number 1

Familiarise yourself with the specific data tools and frameworks mentioned in the job description, such as Spark, dbt, and Kafka. Having hands-on experience or projects showcasing these technologies can significantly boost your chances.

✨Tip Number 2

Network with current or former employees of FanDuel Group on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.

✨Tip Number 3

Prepare to discuss your previous experiences in designing scalable data systems during interviews. Be ready to share specific examples of challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.

✨Tip Number 4

Showcase your ability to communicate complex technical concepts clearly. Practice explaining your past projects to a non-technical audience, as this skill is highlighted in the job description and can set you apart from other candidates.

We think you need these skills to ace Staff Data Engineer

Data Engineering
Scalable Data Systems Design
Data Architecture Standards
Batch and Streaming Data Pipelines
Data Modelling
ETL/ELT Pipelines
SQL Proficiency
Programming Skills (Python, Scala, or Java)
Cloud Services (AWS, GCP, or Azure)
Technical Leadership
Code Quality and Testing
Data Governance and Compliance
Collaboration with Cross-Functional Teams
Infrastructure as Code (Terraform)
Excellent Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, especially with scalable systems and modern tools like Spark, dbt, and Kafka. Use specific examples to demonstrate your expertise.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at FanDuel Group. Mention how your background aligns with their needs, particularly in designing data architectures and collaborating with cross-functional teams.

Showcase Technical Skills: Clearly outline your proficiency in SQL and programming languages such as Python or Java. Include any experience with cloud services like AWS or GCP, as these are crucial for the position.

Highlight Soft Skills: FanDuel values communication and collaboration. Provide examples of how you've effectively communicated technical concepts to non-technical audiences and worked within teams to achieve common goals.

How to prepare for a job interview at FanDuel

✨Showcase Your Technical Expertise

As a Staff Data Engineer, you'll need to demonstrate your deep understanding of data engineering concepts. Be prepared to discuss your experience with tools like Spark, Kafka, and cloud services. Highlight specific projects where you've designed scalable data systems.

✨Communicate Clearly

Excellent communication skills are crucial for this role. Practice explaining complex technical concepts in simple terms, as you may need to convey ideas to non-technical stakeholders. Use examples from your past experiences to illustrate your points.

✨Prepare for Problem-Solving Questions

Expect to face technical challenges during the interview. Brush up on your problem-solving skills and be ready to walk through your thought process when tackling data architecture issues or optimising data pipelines. This will showcase your analytical abilities.

✨Demonstrate Collaboration Skills

Collaboration is key in this role, so be ready to discuss how you've worked with cross-functional teams in the past. Share examples of how you've acted as a liaison between engineering, product, and analytics teams to align on data strategies.

Staff Data Engineer
FanDuel
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