Senior/Lead Data Engineer

We are looking for a seasoned Data Engineer to join our growing team.

Requirements

• 4+ years of experience in Data Engineering.
• Proven experience building and optimizing scalable ETL/data pipelines, preferably on Azure Databricks
• Experience with Azure Data Factory, Databricks, and PySpark
• Solid experience integrating multiple data sources into data lakehouse / data warehouse architectures
• Strong SQL skills, including designing data models and SQL Warehouse views
• Experience translating business requirements into scalable and reliable data solutions/products
• Experience working with cloud-based data platforms (preferably Azure)
• Strong problem-solving skills with the ability to troubleshoot and optimize data pipelines
• Understanding of data quality, performance optimization, and reliability best practices
• Experience working in cross-functional teams and delivering data solutions in a timely manner

Responsibilities

• Design, build, and optimize scalable ETL/data pipelines on Azure Databricks
• Automate data workflows using Azure Data Factory, Databricks, PySpark, and related Azure services
• Integrate diverse data sources into data lakehouse and data warehouse solutions to enable advanced analytics
• Design SQL Warehouse views and data models for downstream consumption and analytics use cases
• Translate complex business requirements into scalable, reliable data products
• Enhance, troubleshoot, and maintain cloud‑based data pipelines to ensure performance, reliability, and data quality
• Collaborate with cross‑functional teams and contribute to timely delivery of data solutions

What we offer

• Flexible work arrangements.
• 20 working days per year as Non-Operational Allowance for personal recreation, fully compensated.
• Collaborative and supportive team culture.
• Truly competitive salary.
• Supportive HR and management team.