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.