Apache Spark jobs in Austria

In this role, you develop tailored data platforms and solutions using Databricks. You design and optimize data pipelines while collaborating closely with clients to implement technical requirements.

• Rust
• Azure
• AWS
• SQL
• Hadoop
• Azure Databricks
• Python
• Apache Spark
• Java
• +4
• +5

In this role, you design data models and implement modern data mesh architectures. You will develop data pipelines, create interactive reporting agents, and mentor junior engineers through coaching and pair programming.

• SQL
• Apache Spark
• ABAC
• RBAC
• Python
• Fabric
• Git
• Pyspark
• Azure
• Snowflake
• +5
• +6

In this role, you lead migrations from legacy systems to modern data architectures, design robust data pipelines, and ensure a smooth transition through data modeling and quality assurance.

• SQL
• Apache Spark
• Delta Lake

In this position, you design and develop scalable Agentic AI systems for defense applications, integrate sensor technologies, optimize AI workflows, and enhance the semantic layer and governance strategies.

• Apache Flink
• Rust
• Apache Kafka
• Apache Spark
• Go
• C++
• Python
• +4

In this role, you take ownership of complex data projects, develop scalable ETL pipelines with Spark and AWS, optimize data architectures, and implement monitoring systems for quality assurance.

• Apache Spark
• Qlik Sense
• AWS
• Go
• Python
• GitHub Copilot
• Terraform
• Docker
• SQL
• Power BI
• +7

In this role, you will develop robust ETL/ELT solutions and design data platform architecture to efficiently process and analyze credit risk-related data.

• SQL
• Apache Spark
• Azure
• Delta Lake

In this role, you will develop stable and efficient data pipelines, optimize data processing workflows using technologies like Python, Spark, and Kubernetes, and collaborate closely with various business areas.

• GitLab
• Apache Spark
• Git
• Dremio
• Docker
• Kubernetes
• Argo Workflow
• Python
• +3
• +4

In this role, you will develop innovative AI solutions, identify data-driven use cases, and implement them from prototype to scaling, creating sustainable business value for clients.

• AWS
• TensorFlow
• scikit-learn
• SQL
• Azure
• Power BI
• Qlik
• Google Cloud Platform
• Tableau
• Python
• +9
• +10

In this role, you develop software solutions, implement technical Data Governance, and automate quality checks while collaborating closely with domain experts.

• RDF
• SPARQL
• Python
• SQL
• informatica
• Github Actions
• Azure
• Jenkins
• RESTful API
• Collibra
• +7
• +8

In this role, you will develop robust data integrations in Microsoft Fabric, enhance data quality, and directly communicate with stakeholders to implement solutions that exceed standard practices.

• RESTful API
• Apache Spark
• Git
• Python
• Power BI
• SQL
• DAX
• Fabric
• +4
• +5

In this role, you will develop data-driven solutions from analysis to modeling and implementation, utilizing environmental and sensor data while identifying new use cases.

• Apache Spark
• Azure
• Python
• SQL
• Dask

In this role, you will design custom big data architectures using Apache Spark, assist customers in implementing and optimizing Databricks solutions, and drive their business success through technical leadership and training.

• Jenkins
• Apache Spark
• NoSQL
• Azure
• Python
• RESTful API
• Java
• Scala
• AWS
• Google Cloud Platform
• +8
• +9

In this role, you will independently develop analytical and machine learning models, identify new applications, and implement robust solutions based on environmental and sensor data.

• Python
• SQL
• Dask
• Apache Spark
• Azure

In this job, you integrate data and develop Data and BI solutions on Microsoft platforms such as Power BI and Azure to create tailored reports and promote sustainable data architectures.

• Power BI
• SQL
• Fabric
• Apache Spark
• Azure Data Factory
• Azure Functions
• Pyspark
• Azure Synapse
• +4
• +5

In this role, you design, implement, and maintain data pipelines, collaborating closely with clients to develop tailored solutions that drive business insights and successfully tackle their data challenges.

• Snowflake
• Terraform
• Airflow
• Apache Kafka
• SQL
• Kubernetes
• Delta Lake
• FastAPI
• Amazon SageMaker
• Apache Spark
• +11