remote
Data Engineering Lead - Metyis AG
Software Engineer
Lead a high‑performing data engineering team, designing and scaling end‑to‑end data pipelines on cloud platforms using Python, SQL, Airflow, Snowflake and Spark to deliver actionable insights.
About the role
Key Responsibilities
- Architect, build, and maintain scalable data pipelines and warehouses on AWS, Snowflake, and Spark.
- Lead a team of data engineers, providing mentorship, code reviews, and technical guidance.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into robust ETL solutions.
- Implement best practices for data modeling, data quality, and performance optimization.
- Drive adoption of CI/CD, monitoring, and automation tools such as Apache Airflow.
Requirements
- 7–10 years of hands‑on experience in data engineering, with at least 2 years in a lead or senior role.
- Strong proficiency in Python, SQL, and cloud services (AWS).
- Deep experience with modern data stack components: Snowflake, Apache Spark, and Apache Airflow.
- Proven ability to design scalable data models and high‑throughput ETL pipelines.
- Excellent communication and leadership skills, with a track record of mentoring technical teams.
Skills
pythonsqlsnowflakeapache sparkaws