Lead Data Software Engineer (Python, AWS, Databricks)

We are looking for a seasoned Lead 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