Data Engineering Manager

About the Role & Team

As part of the Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, ML Engineers, and Data Scientists determined to develop high-quality data products that power core features of our app. The ideal candidate has strong leadership skills, a passion for data, a strong background in computer science, and an interest in professional sports, betting and/or eSports.

About the Work

• Manage the day-to-day activities of the data engineering team, providing goal setting, mentorship, coaching, leadership, guidance and performance management and feedback. 
• Liaise with product management and other engineering teams to bring a new data science solution to life, including integration with downstream back end services
• Prioritize and manage data-related projects cross-functionally from inception to delivery
• Help with hiring initiatives across the product and engineering departments
• Collaborate with the team to define, track, and meet SLOs
• Stay current with trends, techniques, technology and other factors impacting data engineering as deemed necessary

About You

• A solid foundation in computer science, with strong competencies in data structures, distributed systems, and software/system design
• Minimum 3-5 years in a data-oriented leadership or management role, combined with at least 8 years of experience in software development
• Experience leading teams of 3 engineers or more
• Demonstrated time management, project management and problem solving skills
• Ability to communicate complex technical information to various stakeholders, including non-technical members of the organization
• Excellent presentation and communication skills
• Demonstrated ability to effectively collaborate and work with all levels of the organization
• Excellent teamwork and team building skills with a proven ability to delegate
• Knowledge of Python and at least 1 compiled language like Java, Go, or Elixir
• Have built or led the development of distributed systems to solve complex problems over very large datasets
• Experience with Kafka, Pub/Sub, or some other streaming platform
• Understanding of tools like Airflow to orchestrate data pipelines
• Familiarity with Docker and Kubernetes
• Some experience overseeing the development CI/CD pipelines for Machine Learning projects.
• Skilled in testing and validating code, data, data schemas, and models

What We Offer

• Competitive compensation package
• Fun, relaxed work environment
• Education and conference reimbursements.
• Parental leave top up
• Opportunities for career progression and mentoring others