Sr.) Data Platform Engineer (m​/f​/d

Job Summary

Our significantly growing Data, AI & Mar Tech Department is looking for an experienced Data Platform Engineer. The position is responsible for improving and continuously further developing our cloud-based data platform – the heart of Smartbroker's technical data infrastructure for business analytics & insights. Join us and play a major role in promoting and enabling a truly data-driven culture across the organisation!

• Develop and improve our cloud-based data platform for data analytics and business insights using the most innovative data technologies.
• Build end-to-end data pipelines from raw data ingestion to consumable data: prepare and clean structured and unstructured data and develop high-quality data models for advanced analytics and AI use cases.
• Implement data quality monitoring to ensure accuracy and reliability of data pipelines.
• Architect, code, and deploy data infrastructure components.
• Collaborate closely with highly ambitious data engineers and analysts in our growing Data, AI & Mar Tech Department as well as product technology colleagues.
• Stay up to date with latest market developments in data cloud architecture and share your knowledge.

• University degree in computer science, mathematics, natural sciences, or a similar field.
• Several years of experience in data engineering and strong know‑how in building data-native, robust, scalable, and maintainable data platforms.
• Significant hands‑on experience designing and operating data pipelines on cloud-based data platforms (AWS, GCP) using data-native services such as S3, Athena, Big Query.
• Experience in data warehousing and containerization, e.g. Kubernetes, Docker.
• Advanced knowledge of cloud networking & security (IAM, security groups).
• Proficient and experienced with Infrastructure as Code.
• Deep understanding of software engineering best practices: requirements specification, version control, CI/CD, testing, deployment, and monitoring of data pipelines and services.
• Excellent SQL skills and strong programming skills in Python, ideally including Airflow and PySpark.
• Strong knowledge of data streaming technologies like Kafka, Kinesis, Flink.
• Excellent English communication skills;
  German is a plus.
• Interest in finance and fintech industry and a sense of humor.