(Sr.) Data Platform Engineer (m/f/d)

Wallstreetonline Capital Ag

Berlin permanent

Posted: December 16, 2025

Job Description

Your mission:
Our significantly growing Data, AI & MarTech 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! Job description: Develop and improve our cloud based data platform for data analytic and business insights using 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 & MarTech Department as well as product technology colleagues Stay up to date with latest market developments in data cloud architecture and share your knowledge

Your profile:
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 (S3, Athena, BigQuery …) Experience in data warehousing and containerization, e.g., Kubernetes, Docker… Advanced knowledge about 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 in 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

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