Senior Data Engineering Manager

7 hours ago

Bucharest, Bucureşti, Romania beBeeDataEngineering Full time

We are seeking a seasoned data engineering leader to spearhead the development and delivery of scalable ETL pipelines built on Python, supporting large-scale enterprise data systems on Azure.

As Senior Data Engineering Manager, you will be responsible for defining best practices, leading and mentoring a team of Data Engineers, and ensuring alignment with stakeholder expectations and IT standards. This role requires strong technical acumen, leadership ability, and hands-on experience in modern cloud-based data ecosystems.

  • Develop and deliver new features in the Python-based ETL pipeline
  • Define and enforce coding standards and engineering best practices aligned with enterprise guidelines
  • Mentor and guide Data Engineers, fostering knowledge sharing and technical growth
  • Plan and oversee the maintenance, refactoring, and performance optimization of existing ETL pipelines (Python + Azure Data Factory)
  • Collaborate with stakeholders in architecture, development, rollout, and operations teams to define and deliver high-impact data solutions
  • Manage capacity planning and proactive cloud resource optimization across Azure services
  • Oversee the setup of new service components and ensure alignment with scalability and security objectives
  • Coordinate operations and maintenance of related software and infrastructure (Azure Synapse, PowerBI, local dev environments)
  • Maintain detailed documentation for service components, processes, and configurations
  • Monitor service performance and ensure SLA compliance
  • Support audits and risk assessments related to service delivery
Requirements
  • 5-7 years of experience in data engineering
  • 3+ years of experience with Python for data processing (Polars, Pandas, PySpark, etc.)
  • 3+ years of experience working with Microsoft Azure cloud services
  • Strong understanding of modern cloud architecture and service-oriented data engineering
  • Familiarity with ITIL principles and IT service management concepts
  • Experience with SaaS-based infrastructure
  • Excellent analytical, planning, and organizational skills
  • Strong stakeholder and customer management focus
  • Ability to quickly adapt to shifting priorities and dynamic environments
  • Outstanding communication skills in English (written and spoken)

This is an exciting opportunity for a data engineering leader who is passionate about building scalable solutions and guiding technical teams in a cloud-first environment.

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