Airflow Jobs in Berlin

In this role, you will develop APIs and platform services on AWS, operate cloud-native applications, and automate infrastructure. Create data applications that assist over 25 teams in their data-driven work while ensuring scalability and reliability.

In this role, you will develop advanced computer vision models for medical image analysis, monitor production models, and integrate ML pipelines into product workflows using modern tools and frameworks.

In this role, you will evolve the data platform and lead an experienced team, while building pipeline integrations with ERP systems and custom internal tools, including a master data management service.

In this role, you lead a small team, develop data pipelines, integrate ERP systems, and build internal tools for specific business needs, such as the master data management service for medical institutions.

In this role, you will design scalable data models using Data Vault 2.0 on a cloud platform and optimize BigQuery pipelines while defining standards and advancing data architecture projects.

In this role, you will develop ML-based geocoding systems, enhance relevance models, and automate evaluation processes. You will tackle geospatial data challenges and provide mentorship to team members.

In this role, you will develop high-performance infrastructures for deploying AI models and optimize CI/CD pipelines while closely collaborating with various teams to efficiently integrate innovative solutions.

In this role, you analyze customer data and develop metrics to identify trends in Quick Commerce. You also conduct A/B testing and communicate findings with stakeholders to drive data-driven decision-making.

In this role, you will develop efficient backend systems, work on search algorithms and recommendation systems, and use technologies like NodeJS and Google BigQuery to create high-performance APIs.

In this role, you will develop robust data pipelines using Apache Beam and Airflow, automate CI/CD processes with GitHub Actions, and manage infrastructure with Terraform to ensure data availability for analytics.

In this role, you will develop scalable data pipelines, improve identity resolution through precise algorithms, and work on customer data quality using BigQuery and cloud environments.

In this role, you will design robust data pipelines for shop performance analysis, develop automated reporting solutions, and enhance revenue attribution models while collaborating closely with various teams.

In this role, you will develop intelligent product stream sorting using NodeJS and TypeScript, manage large data sets with Google BigQuery, and ensure integration into BI systems.

In this role, you design and implement ETL processes on GCP, optimize data pipelines, work on migrating data to the cloud, and ensure compliance with data quality and governance standards.

In this role, you will design data pipelines and ETL processes on GCP, optimize data processing, and migrate existing products to the cloud while ensuring data quality and governance standards are met.