4 job openings found.
Voids Technology Gmbh·Hamburg
In this role, you will own the reliability of our data infrastructure, design, implement, and maintain tailored integrations and scalable data pipelines using AI tools.
KAYAK·Berlin
In this role, you will evolve the architecture of the data platform, including streaming and schema management, while defining technical standards and solving complex data engineering challenges.
Fivetran·Munich
In this role, you will develop highly scalable data lake systems and work closely with product teams to design innovative features while integrating open standards and technologies.
MELAG Medizintechnik GmbH & Co. KG·Berlin
In this role, you will assist in the operation and expansion of an internal cloud infrastructure, administer our data lake, and manage AI services on GPU servers while focusing on backup strategies and monitoring.
Receive new Apache Parquet jobs in Germany by email.
Circonomit GmbH·Berlin
In this role, you will develop a comprehensive data platform, design the architecture for data pipelines, and optimize performance and queries while closely collaborating with the CTO and research teams.
Circonomit GmbH·Cologne
In this role, you will develop the entire data platform, from data ingestion through storage to querying, scaling and optimizing complex systems using Python, TypeScript, and PostgreSQL.
MOIA GmbH·Hamburg, Berlin
In this role, you will develop scalable data infrastructures on AWS, optimize data pipelines with Kinesis and Lambda, and support teams in using Amazon SageMaker Unified Studio independently.
Atolls·Munich
In this role, you will develop robust data pipelines using Python and Spark, orchestrate them with Apache Airflow, and implement infrastructure as code to optimize a cloud-based data platform.
Atolls·Berlin
In this role, you will develop efficient data pipelines using Python and Spark, orchestrate them with Apache Airflow, and document data models with SQL and dbt for our analytics workloads.
Landesbank Baden-Württemberg·Stuttgart
In this role, you will be responsible for data integration and provision, develop robust ETL processes, and ensure stable data supply operations within the S-DAP.
In this role, you will develop stable data loading and transformation processes, ensure data connectivity for AI applications, and monitor data supply through error analysis and automation.
Clickhouse·Berlin
In this role, you will develop high-throughput database integrations and optimize real-time data replication while tackling complex challenges in distributed architectures.
Deka-gruppe·Frankfurt
In this role, you develop a new data platform in Azure, integrate modern technologies like Databricks and PySpark, and ensure the operational stability of the data warehouse.
Medermis Clinics Gmbh·Munich
In this role, you will develop ETL/ELT pipelines and integrate new data sources, collaborating closely with various teams, while utilizing modern Azure technologies to ensure stable data processes.
Itzehoer Versicherung·Itzehoe
In this role, you will develop and optimize data pipelines using Python and Spark, model and enhance the data warehouse, integrate new data sources, and automate workflows with Apache Airflow.