Asks for

The ad says“Strong programming skills in Python, ideally including orchestration frameworks such as Airflow”
The ad says“Several years of experience in data engineering and strong know-how in building robust, scalable, and maintainable data pipelines and analytical data models”
The ad says“Strong experience in data warehousing and analytics engineering, ideally including dbt and dimensional data modelling”
The ad says“Significant hands-on experience designing and operating data pipelines on cloud-based data platforms (AWS, GCP) using data-native services (S3, Athena, BigQuery…)”
The ad says“Significant hands-on experience designing and operating data pipelines on cloud-based data platforms (AWS, GCP) using data-native services (S3, Athena, BigQuery…)”
The ad says“Significant hands-on experience designing and operating data pipelines on cloud-based data platforms (AWS, GCP) using data-native services (S3, Athena, BigQuery…)”
The ad says“Deep understanding of software engineering best practices: requirements specification, version control, CI/CD, testing, deployment, and monitoring of data pipelines and transformations”
The ad says“Several years of experience in data engineering and strong know-how in building robust, scalable, and maintainable data pipelines and analytical data models”
The ad says“Several years of experience in data engineering and strong know-how in building robust, scalable, and maintainable data pipelines and analytical data models”
The ad says“Experience with data quality, observability, and testing approaches to deliver reliable and trusted data products”
The ad says“Excellent SQL skills and a deep understanding of data transformation, performance optimisation, and complex analytical queries”
The ad says“Strong experience in data warehousing and analytics engineering, ideally including dbt and dimensional data modelling”
The ad says“Strong experience in data warehousing and analytics engineering, ideally including dbt and dimensional data modelling”
The ad says“Deep understanding of software engineering best practices: requirements specification, version control, CI/CD, testing, deployment, and monitoring of data pipelines and transformations”
The ad says“Strong experience in data warehousing and analytics engineering, ideally including dbt and dimensional data modelling”
The ad says“Significant hands-on experience designing and operating data pipelines on cloud-based data platforms (AWS, GCP) using data-native services (S3, Athena, BigQuery…)”
The ad says“Deep understanding of software engineering best practices: requirements specification, version control, CI/CD, testing, deployment, and monitoring of data pipelines and transformations”
The ad says“Experience with data quality, observability, and testing approaches to deliver reliable and trusted data products”
The ad says“Excellent SQL skills and a deep understanding of data transformation, performance optimisation, and complex analytical queries”
The ad says“Strong programming skills in Python, ideally including orchestration frameworks such as Airflow”
The ad says“Significant hands-on experience designing and operating data pipelines on cloud-based data platforms (AWS, GCP) using data-native services (S3, Athena, BigQuery…)”
The ad says“Excellent SQL skills and a deep understanding of data transformation, performance optimisation, and complex analytical queries”
The ad says“Deep understanding of software engineering best practices: requirements specification, version control, CI/CD, testing, deployment, and monitoring of data pipelines and transformations”
The ad says“Experience with data quality, observability, and testing approaches to deliver reliable and trusted data products”
The ad says“Deep understanding of software engineering best practices: requirements specification, version control, CI/CD, testing, deployment, and monitoring of data pipelines and transformations”

Your mission

Our significantly growing Data, AI & MarTech Department is looking for an experienced Data 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

- 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

Asks for

Values

Your mission

Your profile