Data Engineering Lead

📋 Description

• Lead Data Engineering projects, ensuring high-quality technical delivery and alignment with
• Provide technical guidance, mentoring, and support to Data Engineering teams.
• Design and implement scalable data architectures, data pipelines, and integration solutions.
• Drive technical decisions and establish engineering standards, best practices, and quality
• Ensure the reliability, performance, security, and maintainability of data platforms.
• Identify and resolve complex technical challenges throughout the project lifecycle.

🎯 Requirements

• Minimum 7 years of professional experience in Data Engineering, Data Architecture, or related
• Strong hands-on experience with Databricks, Apache Spark, and Delta Lake.
• Advanced proficiency in Python and SQL.
• Solid understanding of modern data architectures, including Data Lake, Data Warehouse, and
• Proven experience designing and implementing ETL/ELT pipelines and complex data integration
• Strong experience with cloud-based data platforms (Azure, AWS, or Google Cloud), preferably in

🎁 Benefits

• Premium medical package
• Lunch Tickets & Pluxee Card
• Bookster subscription
• 13th salary/yearly bonuses
• Enterprise job security with a startup mentality (diverse & engaging environment, international
• A supportive culture (we value ownership, autonomy, and healthy work-life balance) with great