Apache Spark Jobs in Austria

In this job, you will develop key components of the CMP platform using Go, improve code quality, and participate in the complete software development lifecycle, including design and testing.

In this role, you design custom data solutions, build data lakes, and optimize MS SQL and Oracle databases. You work with modern data stacks and provide 3rd level support while assisting customers.

In this role, you will develop powerful data pipelines and ETL/ELT processes using Databricks and Google BigQuery, work on cloud integrations, and foster data modeling in the team to solve complex data challenges.

In this role, you will design data models for various architecture and construction domains, develop logic for data enrichment for analytics, and support Data Science applications like Machine Learning.

In this role, you will develop ETL/ELT pipelines in Databricks, model large datasets in Microsoft Azure, and create analysis solutions with Power BI while ensuring data quality.

In this role, you will lead a Data Engineering team, develop scalable Databricks pipelines using Python, and orchestrate data with Azure Data Factory while establishing standards and documentation.

In this role, you handle Databricks incidents and requests, analyze and debug issues, assist users in platform adoption, and work on process improvements and automation opportunities.

In this role, you develop data and machine learning applications, implement stable data pipelines, and integrate models into systems while ensuring data quality and performance.

In this role, you will design scalable data architectures and robust ETL pipelines, ensuring data quality through automation and monitoring while leading complex data engineering projects.

In this role, you will develop complex ETL pipelines and data APIs, optimize data architectures, and clean large datasets using AWS and Spark for our analytics platform.

In this role, you will develop production-grade Kotlin code for analyzing large motion data, design scalable data processing systems, and optimize ETL workflows with Apache Spark in an innovative environment.

In this role, you will develop tailored machine learning models, analyze data, present results, and integrate these solutions into the business processes of our clients from various sectors.

You develop modern AI and data solutions, design AI use cases, and manage cloud-based platforms while working with technologies such as Python, Power BI, or AWS.

In this role, you will develop modern AI and data solutions, design end-to-end use cases, and work on cloud platforms while choosing your focus on AI/ML engineering, analytics, or cloud platform engineering.

In this role, you will develop scalable ML models and efficient data pipelines while shaping the company’s data strategy in Generative AI and communicating complex technical concepts.