DeepL is a global communications platform powered by Language AI. As a Senior Staff Data Engineer, you'll be a strategic technical leader driving the evolution of our enterprise-wide data practices. You'll work at the intersection of data engineering, product facing teams and platform teams, establishing standards and best practices that enable our engineering teams to deliver reliable, scalable, and secure data solutions.
Requirements
- Extensive Data expertise: 10+ years of experience in data engineering or related role with at least 5 years in a staff or principal role
- Data architecture experience: Deep understanding of data infrastructure, data warehousing, ETL/ELT processes, and/or data pipeline orchestration
- Cloud mastery: Proven experience with cloud platforms (AWS, Azure, or GCP) and cloud-native data services
- Scripting & automation: Advanced scripting skills in Python, Bash, or similar languages for automation and tooling
- Leadership & communication: Proven track record of technical leadership, mentoring engineers, and influencing cross-functional teams
- Enterprise experience: Experience working in high-growth technology or SaaS environments with distributed systems and microservices architecture
- Experience with data-specific tools and technologies such as Apache Airflow, dbt, Apache Spark, Kafka, or similar
- Experience with real-time streaming data processing pipelines (spark, flink, etc.)
- Knowledge of data warehousing solutions (Snowflake, BigQuery, Redshift) and data lake architectures
- Background in data engineering or analytics engineering
Benefits
- Diverse and internationally distributed team
- Open communication, regular feedback
- Hybrid work, flexible hours
- Virtual Shares - An ownership mindset in every role
- Regular in-person team events
- Monthly full-day hacking sessions
- 30 days of annual leave
- Competitive benefits
