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
