Lead Data Engineer in Bertoni Solutions

We are Bertoni Solutions, a multinational team uniting Latin American talent and Swiss precision. Since 2016, we have helped clients translate technology into success by combining the creativity and passion of Latin American professionals with the rigor and organizational mindset of Swiss culture. Our development team is located across Latin America, including Lima, and we deliver consulting software and digital transformation services to organizations worldwide, always working 100% remotely. We focus on innovative, impactful projects leveraging the latest technology trends and digital transformation initiatives, offering a truly multicultural and global collaboration environment.

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We are looking for a highly skilled Lead Data Engineer with extensive experience in PySpark, SQL, Python, Azure Data Factory, Synapse, Databricks, and Microsoft Fabric. The candidate must have a solid understanding of ETL processes, data warehousing principles, and end-to-end data engineering workflows.

Required Skills and Experience:

• 8+ years of experience working in cross-functional teams that include machine learning engineers, developers, product managers, and analytics teams.
• 3+ years of hands-on experience developing and managing data pipelines using PySpark.
• 3 to 5 years of experience with Azure-native services such as Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure SQL Database, and Fabric.
• Strong programming skills in Python and SQL.
• Proven expertise in ETL processes, data modeling, and data warehousing end-to-end solutions.
• Self-driven, resourceful, and comfortable working in fast-paced, dynamic environments.
• Excellent communication skills and fluency in written and spoken English at an advanced level (B2, C1 or C2 only).
• Demonstrated leadership experience in current or previous projects.
• Must be located in Central or South America due to nearshore position requirements.

Soft Skills: Effective communication, proactive problem-solving, collaboration, mentoring capacity, and adaptability to changing priorities and technologies are crucial to succeed in this role.