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Build and maintain data pipelines, transform raw data into analytics-ready models, and create Power BI dashboards for business reporting using Snowflake and dbt.
Build and maintain cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to feed analytics and BI tools, integrating with SQL Server and Azure Data Factory.
Design and maintain scalable data pipelines and enterprise data warehouses using AWS Glue, PySpark, and Informatica to ingest, transform, and deliver clean data for analytics across Schneider Electric’s global operations.
Designs and maintains cloud data pipelines and analytics platforms for food and beverage processing plants, integrating industrial IoT data with Azure, Databricks, and InfluxDB to enable predictive maintenance and AI-driven analytics.
Als Microsoft Azure Data and Integration Engineer gestalten Sie die Transformation unserer Datenlandschaft und ermöglichen eine moderne, effiziente und länderübergreifende Analyse und Nutzung von Informationen. Ihre…
A leading company in the field of sports betting is currently building a central Data Science team in Vienna. For this exciting development, a dedicated individual is sought as a Data Engineer to help shape the…
Designs and maintains scalable data pipelines and data vaults, delivering metrics via warehouses and marts using SQL and ELT tools.
Build predictive models, dashboards, and analytics pipelines using Python/R, Databricks/Dataiku, and Power BI/Tableau/BigQuery/Snowflake to turn business data into actionable insights.
Builds and maintains data pipelines, defines metrics in a semantic layer, and partners with BI teams to ensure accurate, certified dashboards using tools like dbt, Snowflake, and Power BI.
Senior engineer building scalable data infrastructure for real-time network security analytics using Python, Kafka, and Kubernetes in a cloud-native environment.
Design and maintain scalable ETL/ELT pipelines and data models to power business intelligence, transforming raw data into clean, reliable assets for analysts.
Senior Data Analytics Engineer builds and maintains scalable ETL pipelines and data models in cloud warehouses, transforming raw enterprise data into clean, reliable assets for analytics and reporting.
Design and automate data pipelines for Identity and Access Management using Python, Snowflake, and Power BI to deliver security insights and reports.
Build and maintain scalable data pipelines and cloud-based analytics platforms using Snowflake, Databricks, and Python, ensuring reliability, performance, and governance.
Designs and operates Snowflake-based data pipelines and ETL/ELT workflows in Python for an automotive business unit.
Design and build scalable data pipelines and warehouses on AWS using Python, SQL, and cloud-native tools to power analytics and ML at a data-driven product company.
Senior Data Engineer builds and maintains ETL pipelines, SQL-based data solutions, and BI dashboards using Python, Snowflake, and AWS to drive business insights.
Build and maintain scalable data pipelines using Microsoft Fabric, SQL, Spark, and Python to enable analytics and reporting in a hybrid work setup.
Principal Data Engineer designs and optimizes secure data pipelines, warehouses, and real-time systems for a biotech company, using Python, Spark, Kafka, and cloud platforms.
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