Data Engineering Manager

FanDuel Group; City of Edinburgh; On-site; GBP 75,000 - 90,000; Full time

Job summary

A leading mobile gaming company in Edinburgh is seeking a Data Engineering Manager to lead a team in building scalable data products and infrastructure. This hybrid role combines people management with technical delivery. The ideal candidate has over 6 years in data engineering and strong leadership skills. This position offers opportunities for professional growth and a dynamic work environment.

Benefits

Mentorship resources

Flexible vacation allowance

Professional development opportunities

Qualifications

• 6+ years of experience in data engineering or software engineering.
• At least 1-2 years in a team leadership or mentorship role.
• Strong technical background in data pipelines and platforms.

Responsibilities

• Lead a team of data engineers through coaching and mentorship.
• Guide the design and implementation of scalable data pipelines.
• Translate business needs into actionable engineering plans.

Skills

Building and maintaining data pipelines

Collaboration skills

Programming in Python

Team leadership

Technical guidance

Tools

Spark

Airflow

Kafka

Databricks

SQL

Job description

FanDuel Edinburgh, Scotland, United Kingdom

4 days ago Be among the first 25 applicants

Data Engineering Manager

We are seeking a Data Engineering Manager to lead a team of data engineers in building high‑quality, scalable data products and infrastructure. In this hybrid role, you’ll balance people management with technical delivery—mentoring engineers, guiding solution design, and collaborating across teams to deliver data systems that support analytics, data science, and operational needs.

This role is ideal for an experienced data engineer or tech lead who is ready to take the next step into engineering management and enjoys blending hands‑on support with strategic execution.

If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.

Responsibilities

• Lead a team of data engineers through coaching, mentorship, and technical guidance.
• Support individual career development and performance feedback, creating growth opportunities for your team.
• Foster a collaborative, inclusive, and high‑performance team culture.
• Guide the design and implementation of scalable data pipelines, platforms, and data products.
• Review architecture and code, provide technical direction, and help resolve complex engineering challenges.
• Ensure delivery of high‑quality, reliable solutions aligned with business goals and engineering best practices.
• Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritize work.
• Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects.
• Communicate clearly across technical and non‑technical teams to align on priorities and progress.
• Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response.
• Advocate for high standards in data quality, governance, and compliance, collaborating with platform and data governance teams.
• Drive continuous improvement in development workflows and team productivity.

Qualifications

• 6+ years of experience in data engineering or software engineering, with at least 1–2 years in a team leadership or mentorship role.
• Strong technical background in building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks.
• Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.
• Experience with cloud data platforms (e.g., AWS, GCP, or Azure).
• Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics).
• Strong communication and collaboration skills with a passion for working across teams.

Preferred Skills

• Prior experience in a people management or tech lead role within a data engineering or analytics team.
• Familiarity with machine learning workflows, data observability, and streaming architectures.
• Experience working in a product‑driven, customer‑focused organization.
• Understanding of data privacy, security, and compliance frameworks.

About Fanduel

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance‑deposit wagering, FanDuel Racing; and its daily fantasy sports product.

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct‑to‑consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

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.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognised brands and traded on the New York Stock Exchange (NYSE: FLUT).

Benefits

• An exciting and fun environment committed to driving real growth.
• Opportunities to build really cool products that fans love.
• Mentorship and professional development resources to help you refine your game.
• Flexible vacation allowance to let you refuel.
• Hall of Fame benefit programs and platforms.

FanDuel Group is an equal opportunities employer and we believe, as one of our principal states, “We Are One Team!”. 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, and Veteran status. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. Having a diverse and inclusive workforce is a core value that we believe makes our company stronger and more competitive as One Team.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Gambling Facilities and Casinos and Spectator Sports

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