We are looking for a
Senior Data Engineer who wants to take real ownership in building and scaling a modern data platform. This role is focused on designing, building, and operating the company's data platform, data infrastructure, and data reliability systems. If you enjoy designing robust data architectures, building reliable and scalable pipelines, and enabling high-quality analytics and data-driven decision-making, this role is a great fit. You will join a focused engineering team and take responsibility for our core data infrastructure, supporting operations, and product teams with trusted, well-structured data. Our tech stack includes
Python, SQL, Fivetran, BigQuery, Dataform, Sigma, GA4.What you will doData Engineering
- Design, build, and maintain scalable batch and real-time data pipelines across multiple sources and systems
Data Architecture
- Develop and evolve our data warehouse/lakehouse architecture with a focus on performance, scalability, and reliability
Data Quality & Reliability
- Implement monitoring, validation, and observability solutions to ensure trustworthy data across the organization
Collaboration
- Work closely with Product, Operations, and Engineering teams to design and maintain scalable data infrastructure that enables self-service reporting.
Ownership
- Take end-to-end responsibility for data initiatives, from design and implementation to production rollout and ongoing optimization
Performance Optimization
- Improve data processing efficiency, query performance, and cost-effectiveness across the platform
About you- You are passionate about data engineering and solving complex technical data problems
- You have 5+ years of experience as a Data Engineer in fast-paced, data-driven environments
- You have strong hands-on experience with Python and SQL
- You have experience with tools such as Fivetran, BigQuery, Dataform, Sigma, GA4
- You have worked with cloud platforms (AWS, GCP, or Azure) and modern data warehouses (e.g., Snowflake, BigQuery, Redshift)
- You understand data modeling, ETL/ELT patterns, and building scalable data systems
- Experience with streaming technologies (e.g., Kafka) is a plus
- Fluency in English is required; German is a plus
