DeepL is a global AI product and research company that is looking for a Senior Analytics Engineer to join their Data Foundation team. The team owns the core data products and pipelines utilizing data from both internal and external sources. The role involves building and maintaining data pipelines, creating foundational data models, and integrating new data sources using DataOps best practices.
Requirements
- 5+ years in data or analytics engineering roles, with a focus on cloud data platforms.
- Expertise in designing and implementing data models for analytics.
- Advanced proficiency in writing complex queries and optimizing performance.
- Experience in data manipulation and scripting.
- Hands-on experience with cloud data warehouses like Snowflake, Databricks, or BigQuery.
- Experience utilising data orchestration and transformation tools like dbt, Airflow, or similar.
- Understands best practice for querying OLAP, click stream, real time event processing databases.
- Product mindset: Able to work directly with business stakeholders to translate analytics needs into user-friendly, highly-performant data products.
- Troubleshooter: Experience diagnosing and resolving data issues and outages.
- Soft Skills: Excellent problem-solving abilities, strong communication skills, and a collaborative mindset.
Benefits
- Diverse and internationally distributed team
- Open communication, regular feedback
- Hybrid work, flexible hours
- Regular in-person team events
- Monthly full-day hacking sessions
- 30 days of annual leave
- Competitive benefits