Data Engineer

FanDuel
Edinburgh, United Kingdom
4 months ago
Applications closed

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Posted
11 Feb 2026 (4 months ago)
Data Engineer

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 .


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


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Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.