Apache Spark jobs in Germany

In this role, you will implement innovative data solutions, lead and mentor a team, write efficient code in Scala, and work on challenging projects related to fraud detection and data management.

• Scala
• Apache Spark
• Elasticsearch
• Hadoop
• Google Cloud Platform
• Azure
• Git
• AWS
• Gradle
• Jenkins
• +8

In this role, you will take ownership of complex data migrations from legacy systems to modern cloud architectures, design robust data pipelines, and ensure data quality through effective validation strategies.

• Apache Spark
• Delta Lake
• SQL

In this role, you integrate the Cloudera platform into existing systems, create training materials, and support development projects and the use of AI models using SQL, Python, and Spark.

• R
• Cloudera CDH
• Python
• SQL
• Apache Spark
• +1

In this role, you will develop scalable data platforms, optimize data solutions, and advise clients on cloud and DevOps topics. Additionally, you will take responsibility in projects and represent conet as an expert at industry conferences.

• Python
• Git
• Java
• Pandas
• Apache Kafka
• Linux
• Airflow
• Polars
• Apache Spark
• FastAPI
• +13

In this role, you develop AI-driven agents for document analysis and create predictive models. You process large data sets with Spark and evaluate uncertainties in your models.

• Docker
• Apache Spark
• TypeScript
• Kubernetes
• Trino
• Prefect
• Python
• OpenTelemetry
• PostgreSQL
• +6

In this role, you lead complex data migrations from legacy systems to modern cloud lakehouse architectures. You design robust data pipelines, establish data quality standards, and communicate risks effectively to all stakeholders.

• SQL
• Apache Spark
• Delta Lake

In this role, you will develop new data sources for our AWS-based Databricks data platform, integrate them, implement SRE practices, and optimize existing processes.

• Apache Spark
• AWS
• Github Actions
• AWS Cloud Development Kit
• Robot Framework
• Terraform
• Pytest
• Dynatrace
• SQL
• Python
• +7

In this role, you will develop and optimize data pipelines, implement MLOps practices, and work with Azure technologies to provide high-quality data solutions for AI models and manage their lifecycle.

• Apache Spark
• Hadoop
• Python
• SQL
• Azure Databricks
• Azure Data Factory
• Git
• +3

In this role, you create complex data analyses, develop predictive models for fraud detection, and lead trainings in Data Analytics and Architecture within a dynamic environment.

• R
• Hadoop
• Python
• SQL
• Eclipse
• GitHub
• Jenkins
• Apache Spark
• AWS
• Azure
• +4
• +6

In this role, you will develop algorithms and systems for data integration and analysis using technologies like Python and Foundry to derive actionable insights from large datasets.

• Apache Ant
• AWS
• Scala
• Apache Hive
• Hadoop
• Qlik
• Maven
• SQL
• Power BI
• ArcGIS
• +12
• +13

In this role, you will develop the first machine learning model for partner matching, enhance match rates through data-driven decisions, and optimize the data pipeline for long-term success.

• Python
• Apache Spark
• Vertex AI
• MLflow
• Airflow
• SQL
• Amazon SageMaker
• +3
• +4

You design and optimize data pipelines and ELT processes using SQL and Python, shape our data warehouse architecture, and implement automated quality tests in an agile environment.

• Python
• Pyspark
• Fabric
• SQL
• Git
• Apache Spark
• +2

In this role, you design and implement modern data architectures, develop robust data pipelines with Kafka and Spark, and ensure governance and compliance in cloud environments.

• Apache Spark
• Terraform
• Python
• SQL
• Azure Data Factory
• Scala
• Apache Kafka
• +3
• +4

In this role, you will develop data-driven solutions using Python and SQL, integrate data from various sources, and design exciting BI reports and machine learning models for client projects in the DACH region.

• AWS
• Fabric
• Scala
• Azure Synapse
• Azure
• Java
• Python
• Google Cloud Platform
• SQL
• C#
• +7

In this role, you will build a comprehensive data platform, develop pipelines, set standards for data trustworthiness, while making architectural decisions and leading teams.

• Kubernetes
• Python
• Amazon Redshift
• Datadog
• Apache Iceberg
• GitLab CI
• SQL
• Apache Spark
• AWS
• Terraform
• +7