Data Engineering Manager Edinburgh/Hybrid
Listed on 2026-06-04
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IT/Tech
Data Engineer, Data Science Manager
Location: New York
Our roster has an opening with your name on it
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.
ResponsibilitiesTeam Management & Growth
- 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
Technical Oversight & Delivery
- 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 by being hands‑on when needed
- Ensure delivery of high‑quality, reliable solutions aligned with business goals and engineering best practices
Cross‑Functional Collaboration
- 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
Operational Excellence
- 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 by collaborating with platform and data governance teams
- Drive continuous improvement in development workflows and team productivity
- 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:
Prior experience in a people management or tech lead role within a data engineering or analytics team. - Preferred:
Familiarity with machine learning workflows, data observability, and streaming architectures. - Preferred:
Experience working in a product‑driven, customer‑focused organization. - Preferred:
Understanding of data privacy, security, and compliance frameworks.
- 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.
Fan Duel 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 Fan Duel is strongest and best able to compete if all employees feel valued, respected, and included.
We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance. Having a diverse and inclusive workforce is a core value that we believe makes our company stronger and more competitive as One Team.
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