Senior Data Streaming Engineer - Data Platform

We are seeking a highly skilled Data Engineer with deep expertise in real-time data streaming, cloud data platforms (Google Cloud Platform), and Apache Beam. In this role, you will design, build, and optimize streaming data pipelines that enable scalable, reliable, and high-quality data flows. You’ll collaborate closely with data scientists, analysts, and software engineers to ensure data is efficiently stitched, transformed, and delivered to power analytics, AI, and business intelligence initiatives., * Design, implement, and maintain real-time streaming pipelines using Apache Beam and GCP services (e.g., Dataflow, Pub/Sub, BigQuery, Cloud Storage).

• Develop scalable ETL/ELT solutions for both streaming and batch processing.
• Implement data stitching strategies to integrate multiple data sources into unified, high-quality datasets.
• Ensure data quality, reliability, and observability across pipelines.
• Optimize data workflows for performance and cost-efficiency in cloud environments.
• Apply best practices in CI/CD, infrastructure-as-code, and monitoring for data pipelines.
• Contribute to data governance, security, and compliance efforts.

• 4+ years of experience in Data Engineering with a focus on real-time/streaming pipelines.
• Strong expertise with Google Cloud Platform (GCP): Dataflow, Pub/Sub, BigQuery, Cloud Storage, Cloud Composer, etc.
• Proficiency in Apache Beam (or equivalent frameworks such as Spark Structured Streaming, Flink).
• Solid programming skills in Python.
• Experience with data modeling, schema design, and data stitching across multiple sources.
• Knowledge of cloud-native DevOps practices (Terraform, Cloud Deployment Manager, CI/CD pipelines).
• Strong problem-solving skills and ability to work in fast-paced environments.
• Hands-on knowledge of data observability tools (e.g., Datadog, Prometheus, OpenLineage).
• Strong understanding of event-driven architectures and message queues.
• Prior experience in high-volume, mission-critical data environments.

• 30 days of paid vacation plus the option of up to 15 days of unpaid leave
• 25 days of workation within the EU
• Flexible working hours
• Sofa Concerts and employee events
• Discounts on ticket purchases & opportunities for clearing assignments
• Corporate benefits and discounts at KESS
• Central location & subsidy for a Job Ticket or Germany Ticket
• Bike leasing
• Mental health program & company pension scheme
• “GoFluent” language learning platform as well as Lunch & Learn sessions