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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # (Sr.) Data Engineer - **Company:** Smartbroker AG - **Location:** Berlin, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Data Analysis, BigQuery, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Information Engineering, Data Infrastructure, Data Transformation, Data Warehousing, Python (Programming Language), Performance Tuning, Raw Data, Standard Sql, Data Streaming, Technical Data Management Systems, Unstructured Data, Cloud Platform System, Kubernetes, Information Technology, Apache Flink, Data Analytics, Apache Kafka, Software Version Control, Data Pipelines - **Published:** September 17, 2026 - **Apply:** https://www.careerjet.de/jobad/def32afcfa2762645b64da3e4502f8b68f ## About the Role * 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 ## Description 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!, * 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Making Data Warehouses fast. 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