Lead Data Software Engineer (Python, AWS, Databricks)

We are looking for a seasonedLead Data Software Engineer to spearhead the design, development, and optimization of scalable data solutions. In this position, you will guide a skilled team of engineers, architect resilient data pipelines, and partner with cross-functional stakeholders to deliver impactful data products that advance business goals.

Responsibilities

• Lead the design, development, and deployment of scalable data engineering solutions
• Architect and implement efficient data pipelines and ETL processes
• Mentor and guide a team of data engineers, fostering best practices and technical growth
• Collaborate with data scientists, analysts, and business stakeholders to capture data requirements
• Ensure data quality, integrity, and governance across all engineering initiatives
• Optimize performance, reliability, and cost-efficiency of cloud-based data platforms
• Drive code reviews, technical documentation, and engineering standards
• Troubleshoot complex data issues and deliver timely resolutions
• Keep current with emerging data technologies and recommend improvements
• Partner with leadership to shape the data engineering roadmap and strategy

Requirements

• 5+ years of experience in data engineering or software engineering roles, including at least 1 year in a lead capacity
• Proficiency in Python for data processing and automation
• Expertise in Amazon Web Services
• Skills in Databricks for large-scale data processing and analytics
• Background in designing and maintaining scalable data pipelines and ETL workflows
• Understanding of data modeling, warehousing concepts, and performance optimization
• Capability to lead technical teams and mentor junior engineers
• Strong communication and collaboration skills for working effectively across cross-functional teams
• Proficiency in English (both written and spoken) at a minimum of B2 level