Apache Flink jobs in Germany

In this role, you will develop a scalable data platform, lead a team of data engineers, and optimize data operations to deliver reliable solutions for market analytics and client requirements.

• Apache Flink
• Airflow
• Apache Iceberg
• Apache Kafka
• Snowflake
• AWS
• Google Cloud Platform
• Azure
• +5

In this role, you design an integrated business architecture, connect agent interfaces to APIs, and develop eventing solutions while collaborating closely with development teams and establishing governance concepts.

• Apache Kafka
• Apache Flink

In this role, you will develop robust, maintainable batch pipelines in Python, optimize the Unified Data Layer for analytics and ML, and collaborate closely with data scientists and analysts.

• Apache Kafka
• Google BigQuery
• Python
• SQL
• Airflow
• Apache Flink
• +2
• +3

In this role, you will develop efficient data pipelines to create ML-ready datasets, ensuring pipeline reliability while clearly communicating technical decisions throughout the process.

• Kubernetes
• Apache Kafka
• Trino
• Airflow
• SQL
• Apache Flink
• Python
• AWS
• Apache Iceberg
• +5
• +6

In this role, you will develop scalable data pipelines using Python and SQL, optimize data models, and ensure data integrity through automated checks and self-service tools.

• Python
• SQL
• rundeck
• Airflow
• Looker
• Apache Kafka
• Django
• Superset
• Github Actions
• Amazon Redshift
• +12
• +13

In this role, you will develop a local data platform, including data orchestration and streaming pipelines on Kubernetes, create proof-of-concepts with AI tools, and integrate workloads on edge data management systems.

• Kubernetes
• Linux
• Python
• Apache Iceberg
• Dagster
• SQL
• GitOps
• Go
• Apache Spark
• RisingWave
• +12
• +13

You design and implement data pipelines for ingestion, ETL/ELT, and develop data models and storage solutions to ensure data quality and access for analytics and ML.

• Airflow
• Python
• SQL
• Azure
• Apache Kafka
• AWS
• Google Cloud Platform
• Prefect
• Apache Spark
• Dagster
• +7

In this role, you tackle complex data architectures, implement solutions using cloud technologies, and ensure high data quality while communicating closely with departments and external partners.

• AWS
• Python
• Azure
• Google Cloud Platform
• Scala
• Apache Flink
• Apache Kafka
• Terraform
• SQL
• Fabric
• +9
• +10

In this role, you will design an ML platform that simplifies feature engineering, training, and model monitoring. You will standardize the infrastructure and collaborate closely with data scientists to create effective solutions.

• Python
• MLflow
• Metaflow
• Kubeflow
• Apache Kafka
• Tecton
• Terraform
• Apache Spark
• AWS
• Apache Flink
• +9
• +10

In this role, you will develop tools for machine learning platforms, support data scientists in feature engineering, and standardize ML infrastructure for improved user experience.

• Python
• Kubeflow
• Docker
• Apache Kafka
• Airflow
• Apache Spark
• Apache Flink
• Metaflow
• AWS
• Tecton
• +9
• +10

In this role, you will operate our Kafka, Flink, Cassandra, and Redis services, automate processes, implement monitoring, and debug complex issues in a cloud-based environment.

• Apache Flink
• Kubernetes
• Cassandra
• MySQL
• Redis
• Google Cloud Platform
• Rancher
• Apache Kafka
• +4
• +5

In this role, you enhance the operational stability of data infrastructures by working with production systems, setting up monitoring, and developing automation solutions within a team.

• Cassandra
• Apache Kafka
• Rancher
• Google Cloud Platform
• Google Kubernetes Engine
• Apache Flink
• Redis
• Kubernetes
• MySQL
• +6

In this role, you will develop efficient data pipelines and automate infrastructure processes for a scalable Data Platform while integrating cutting-edge technologies in Data Engineering and Analytics.

• Linux
• SQL
• Kubernetes
• Go
• Java
• Apache Flink
• Airflow
• Dagster
• Apache Iceberg
• Shell script
• +8
• +9

In this role, you will design robust data pipelines using Apache Kafka, build CDC-based ingestion pipelines, and ensure data quality to support real-time decision-making in logistics.

• Python
• Debezium
• Google Cloud Platform
• SQL
• Apache Spark
• Apache Kafka
• Apache Flink
• Google BigQuery
• +5

In this role, you will develop an innovative Feature Engineering Platform that simplifies the entire ML development process, from exploration to deployment and monitoring, by building APIs and user-friendly tools.

• Apache Flink
• Apache Spark