Opportunity – Data Engineer Lead About the role This role is crucial for leading a team of 5 Data Engineers, ensuring the development of high-quality data solutions while maintaining strong relationships with stakeholders. The idóneo candidate will have a strong technical background in AWS, Airflow, DBT, S3, Snowflake, and ClickHouse , and experience with JIRA and GitHub. You will be responsible for both technical leadership and strategic planning, overseeing sprints, managing priorities, and ensuring effective communication across teams. Key Responsibilities: - Lead and mentor a team of 5 Data Engineers, fostering a culture of collaboration and technical excellence. - Own and drive data engineering best practices, ensuring optimal use of AWS, Airflow, DBT, Snowflake, ClickHouse, and S3. - Collaborate with stakeholders to understand business needs, assess priorities, and define data engineering roadmaps. - Manage sprint planning and backlog prioritization using JIRA. - Oversee data pipeline design, development, and maintenance to ensure scalability and performance.
- Collaborate in the definition of data quality, governance and security frameworks. - Establish and enforce best practices in version control, CI/CD, and code quality using GitHub. Required Skills & Experience: - 4-5 years of experience in Data Engineering, with at least 1 years in a leadership role. - Expertise in AWS cloud services, including S3, Lambda, and Redshift (or equivalent technologies). - Hands-on experience with Airflow, DBT, Docker, and ClickHouse, Snowflake, or similar. - Strong experience in ETL pipeline development, data modeling, and performance tuning. - Proficiency in SQL and Python for data engineering tasks. - Strong knowledge of Agile methodologies and experience in JIRA for sprint planning. - Familiarity with GitHub workflows, including branching strategies and CI/CD processes. - Excellent communication and stakeholder management skills, capable of translating business needs into t
📌 Data Engineer Lead (Les)
🏢 Capitole
📍 Les