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Moderate competition due to managerial title and known employer but niche data focus reduces applicant density.
Data engineering skills are broadly transferable across industries despite managerial context.
No explicit years or mandatory tech stack, managerial scope imposes some medium filtering.
Lead and participate in the development of new data engineering solutions and projects, providing advanced knowledge and guidance.
Supervise and coordinate a mixed team of specialists and support staff with full employee lifecycle responsibility.
Manage daily operations and oversee implementation of short to medium term team activities, influencing tactical and operational policies within defined scope.
Work Experience Required: Not explicitly mentioned in the JD.
Mandatory Skills: Advanced knowledge in data engineering and team management implied by role responsibilities.
Location or Onsite Requirements: Not explicitly mentioned in the JD.
Educational or Regulatory Requirements: Not explicitly mentioned in the JD.
Experienced in leading data engineering projects with ability to provide strategic direction and share best practices.
Capable of managing operational and tactical decisions within a team environment, including supervising a mixed team.
Comfortable handling full employee lifecycle responsibilities and acting as the single point of contact for complex matters.
