Lead Data Enginner
Bucharest, Romania
Data Edge
DataEdge is the place for Microsoft Azure, Oracle and SQL database management solutions empowering small and medium sized businesses to better manage, optimize and secure their data cost effectively.Job Title: Lead Data Engineer
Location: Remote
Start Date: ASAP
Contract Duration: Long-term
Language Requirements: English (Advanced)
Working Method: Remote
Role Overview
We are looking for a Lead Data Engineer to take ownership of the design and enhancement of a complex ETL pipeline built in Python, supporting enterprise-scale data systems on Azure. The successful candidate will define best practices, lead and mentor a team of Data Engineers, and ensure alignment with stakeholder expectations and enterprise IT standards. This role requires strong technical acumen, leadership ability, and hands-on experience in modern cloud-based data ecosystems.
Key Responsibilities
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Lead the development and delivery of new features in the Python-based ETL pipeline
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Define and enforce coding standards and engineering best practices aligned with enterprise guidelines
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Mentor and guide Data Engineers, fostering knowledge sharing and technical growth
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Plan and oversee the maintenance, refactoring, and performance optimization of existing ETL pipelines (Python + Azure Data Factory)
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Collaborate with stakeholders in architecture, development, rollout, and operations teams, as well as business users, to define and deliver high-impact data solutions
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Manage capacity planning and proactive cloud resource optimization across Azure services
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Oversee the setup of new service components and ensure alignment with scalability and security objectives
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Coordinate operations and maintenance of related software and infrastructure (Azure Synapse, PowerBI, local dev environments)
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Maintain detailed documentation for service components, processes, and configurations
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Monitor service performance and ensure SLA compliance
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Support audits and risk assessments related to service delivery
Required Skills and Experience
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5-7 years of experience in data engineering
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3+ years of experience with Python for data processing (Polars, Pandas, PySpark, etc.)
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3+ years of experience working with Microsoft Azure cloud services
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Strong understanding of modern cloud architecture and service-oriented data engineering
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Familiarity with ITIL principles and IT service management concepts
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Experience with SaaS-based infrastructure
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Excellent analytical, planning, and organizational skills
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Strong stakeholder and customer management focus
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Ability to quickly adapt to shifting priorities and dynamic environments
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Outstanding communication skills in English (written and spoken)
If you are a proactive data engineering leader ready to shape scalable solutions and guide technical teams in a cloud-first environment, we would love to hear from you.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Engineering ETL ITIL Pandas Pipelines Power BI PySpark Python Security
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