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Data Engineer

FanDuel Group

City of Edinburgh

On-site

GBP 65,000 - 85,000

Full time

30+ days ago

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Job summary

A data-driven gaming company in Edinburgh is looking for a Data Engineer to join their team. This role involves building scalable data pipelines and collaborating with various stakeholders to deliver data solutions. Ideal candidates will have strong proficiency in SQL, experience with data engineering tools, and a passion for analytics. The position offers competitive compensation and professional development opportunities.

Benefits

Competitive compensation
Generous insurance and paid leave policies
Opportunities for career development

Qualifications

  • Experience in data engineering, analytics engineering, or software engineering.
  • Strong SQL skills and familiarity with at least one programming language.
  • Hands-on experience with modern data tools.

Responsibilities

  • Build & maintain scalable data pipelines for analytics.
  • Write clean, efficient, and well-documented code.
  • Collaborate with data analysts and product managers.

Skills

Data engineering
SQL
Python
Spark
Airflow

Tools

Databricks
Kafka
Job description
Position

Data Engineer

Location: Edinburgh, Scotland, United Kingdom

Our roster has an opening with your name on it. 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.

Game Plan
  • Build & maintain scalable batch and streaming data pipelines to support analytics and business operations.
  • Write clean, efficient, and well‑documented code using Python, SQL, and Spark.
  • Ensure data is reliable, accurate, and delivered in a timely manner.
  • Collaborate 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 quickly.
  • 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 (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
  • Competitive compensation and generous insurance and paid leave policies.
  • An exciting and fun environment committed to driving real growth.
  • Opportunities to build products that fans love.
  • Career and professional development resources.
  • Comprehensive benefits through FanDuel Total Rewards.
Diversity, Equity and Inclusion

FanDuel is an equal opportunities employer. We respect and value everyone. We don't tolerate bias, judgement or harassment. We provide reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment, please email Benefits@fanduel.com.

The requirements listed in this job description are guidelines, not hard and fast rules. If your skills are transferable and you are in the ballpark experience‑wise, we'd love to speak to you!

Employment Type

Full‑time

Seniority Level

Director

Job Function

Information Technology. Industries: Gambling, Casinos, Spectator Sports.

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