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 ourcloud baseddata 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 withhighly ambitiousdata engineers and analysts in our growing Data, AI &MarTechDepartment as well as product technology colleagues
• Stay up to date with latest market developments in data cloud architecture and share your knowledge

Your profile

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  • 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 robust, scalable, and maintainable data pipelines and analytical data models
  • Significant hands-on experience designing and operating data pipelines on cloud-based data platforms (AWS, GCP) using data-native services (S3, Athena, BigQuery…)
  • Strong experience in data warehousing and analytics engineering, ideally including dbt and dimensional data modelling
  • Excellent SQL skills and a deep understanding of data transformation, performance optimisation, and complex analytical queries
  • Deep understanding of software engineering best practices: requirements specification, version control, CI/CD, testing, deployment, and monitoring of data pipelines and transformations
  • Strong programming skills in Python, ideally including orchestration frameworks such as Airflow
  • Experience with data quality, observability, and testing approaches to deliver reliable and trusted data products
  • Knowledge of data streaming technologies like Kafka, Kinesis, Flink and cloud infrastructure is a plus
  • Excellent English communication skills, German is a plus
  • Interest in finance and fintech industry and a sense of humor
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