Apache Spark Jobs in Munich

In this role, you will build scalable data pipelines using Databricks and Apache Spark, optimize them for performance and cost, and ensure data quality and governance while collaborating with international teams.

In this role, you will develop modern data architectures and design data pipelines for the integration and transformation of data from various sources for decision-relevant analyses.

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 design scalable data pipelines, transform complex data, and collaborate with Data Scientists to deliver high-quality data products and develop innovative data solutions.

In this role, you will develop innovative GenAI applications, advise customers on technical matters, and optimize production rollouts while collaborating closely with product and engineering teams.

You develop and operate scalable data solutions and pipelines for Marketing Intelligence in international CRM environments, including data modeling and API integrations in Salesforce.

In this role, you will develop Azure-based data pipelines, integrate data sources, and create models for BI and AI applications, while fostering close collaboration with clients and teams.

In this role, you develop automated ETL processes for Big Data and MLOps using Python, SQL, and Databricks. You ensure data quality and security while working in agile teams on innovative solutions.

In this role, you will design and maintain scalable data pipelines and architectures, efficiently integrate data sources, and collaborate with interdisciplinary teams on end-to-end solutions for data-driven projects.

In this role, you will develop data-driven solutions, handle data integration and modeling, and conduct customer workshops while utilizing modern technologies like Azure, Databricks, and Apache Spark.

In this role, you will develop scalable ETL/ELT pipelines for structured and unstructured data, automate data workflows, and optimize data infrastructure in cloud and hybrid environments.

In this role, you will design Big Data and AI platforms, develop data pipelines, operationalize AI models, and lead engineering projects with teams to create innovative cloud-based data solutions.

In this role, you will develop data pipelines and long-running services on AWS to process large volumes of energy data and support decision-relevant dashboards.

In this role, you will develop containerized services on AWS ECS and orchestrate workflows using Airflow or Prefect while closely collaborating with analysts to define KPIs.

In this role, you develop containerized services on ECS, orchestrate workflows using Airflow or Prefect, and design data models to support analytics and reporting in the finance sector.