Lead Data Enginner

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

• Lead the development and delivery of 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, as well as business users, 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

Required Skills and Experience

• 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)

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.