Senior Data Engineer (Germany, Remote, m,d,f)

YOUR MISSION 

We are looking for a Senior Data Engineer to shape and scale our open lakehouse data platform built on Snowflake (compute) and Apache Iceberg tables on AWS S3. You’ll own end-to-end design and evolution of robust, scalable pipelines that power analytics, ML, and customer-facing features across our SaaS digital advertising products.  

You’ll collaborate with Product and Engineering to keep systems performant, reliable, and business aligned. You’ll ship hands-on, lead technical design, run code reviews, and mentor others in modern data engineering practices.  

To thrive here, you need  

• Deep expertise in open lakehouse architectures – Snowflake as compute + Apache Iceberg on cloud object storage  

• Hands-on production experience with:  

• Iceberg catalog management (Apache Polaris, Glue, or Hive)  

• Time-travel / snapshot queries  

• Partition evolution & schema evolution safety  

• Snowflake Iceberg external tables, query tuning, clustering, cost control, RBAC/masking 

• Strong production proficiency in dbt – authoring complex models, incremental logic, snapshots, exposures, custom tests, and CI/CD integration using dbt Core + Snowflake/Iceberg adapters 

Highly valuable  

• Experience working with AWS Cloud Platform 

• DataOps / IaC (Terraform, dbt Cloud)  

• Real-time streaming (Apache Kafka/Flink, AWS Kinesis) 

You’re passionate about clean, efficient architecture and have a proven track record building and operating production-grade open lakehouses. You raise the bar through high-quality delivery, team collaboration, and lasting improvements in reliability and engineering culture.  

YOUR RESPONSIBILITIES  

• Design, build, and maintain scalable data pipelines, architectures, and platforms with a focus on reliability and efficiency  

• Implement ETL/ELT processes with rigorous quality checks and governance to ensure data accuracy and consistency  

• Mentor data engineers, share best practices, and foster a culture of learning and ownership  

• Partner with Engineering, Product, and Business to translate requirements into high-impact data solutions  

• Own project execution end-to-end—scoping, estimation, delivery, and communication  

• Champion testing, documentation, and observability through design reviews and technical leadership  

• Stay ahead of industry trends in cloud data, big data processing, and real-time analytics.

YOUR PROFILE

• 5+ years in data engineering, with hands-on production experience building open lakehouses using Snowflake + Apache Iceberg  

• Strong production track record with dbt – complex models, dependencies, incremental logic, custom tests, CI/CD  

• Advanced SQL + Python; you build idempotent, observable, schema-safe pipelines  

• Deep knowledge of data modelling trade-offs, distributed systems, and big data frameworks  

• Excellent communicator – you distil complex topics for technical and non-technical audiences with empathy  

• Proven collaborator with strong problem-solving, mentoring, and project management skills  

• (Bonus) Built and maintained a production-grade open lakehouse from scratch (Iceberg + catalog + compute)  

• (Bonus) Familiar with DataOps, IaC, or real-time streaming pipelines.