Data Engineering Manager
Fanduel - Edinburgh / Hybrid
Posted Aug 27, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Engineering Manager Edinburgh / Hybrid 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. THE GAME PLAN Everyone on our team has a part to play Team 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
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