Data Engineer 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 ingestion pipelines from various ERP systems and transformations for financial reports using Microsoft Fabric and SQL.

In this role, you will lead complex AI transformation projects, collaborate closely with executives, identify internal champions, and drive measurable changes along with strategic questions surrounding AI and data management.

In this role, you will develop algorithms for customer Data Science projects, apply technologies like Computer Vision and NLP, and validate prototypes through close collaboration with engineers and data scientists.

In this role, you will design scalable data pipelines with DBT and Fivetran, work on ELT workflows, model databases, and support stakeholders in resolving data-related challenges.

In this role, you will improve and maintain a scalable data platform on AWS, K8s, Confluent Cloud, and Snowflake, ensuring high availability by building CI/CD pipelines and developing infrastructure as code with Terraform.

In this role, you will analyze large unstructured data sets, create dashboards and reports, implement predictive models and recommendation algorithms, and advise on data-driven inquiries.

In this role, you implement data-driven solutions, ranging from data integration to BI reports and machine learning models, while closely collaborating with clients across various industries.

In this role, you will optimize operational workflows in the Data area, manage projects, develop teams, and set clear priorities to ensure efficient, scalable processes.

In this role, you will take ownership of Data Ingestion solutions, ensuring quality and compliance in our data pipelines while collaborating closely with the analytics team and the legal department.

In this role, you will develop scalable ETL pipelines for legal data, optimize data integration, and ensure data quality to enable innovative search and AI solutions across various jurisdictions.

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 data pipelines and implement machine learning models on Databricks to analyze clinical and molecular data, providing valuable insights for clients.