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Digital & Technology Team (D&T) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our…
Build and optimize scalable data pipelines using Databricks, PySpark, and Azure for a modern fintech data platform.
Senior Data Engineer builds and maintains cloud-based data pipelines and lakes for a global financial-services client, using Azure Databricks, PySpark, and Azure SQL to enable analytics.
At Sigma Embedded Engineering , we are currently looking for a Data Platform Engineer to join a team building a new data platform from scratch. The platform will integrate data from several departments and systems,…
Digital & Technology Team (D&T) We are an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating…
Design and build PySpark-based data pipelines in distributed environments, transforming large datasets and collaborating with architects and analysts to deliver high-quality data solutions.
Build and maintain scalable data pipelines on Google Cloud Platform, focusing on BigQuery, Airflow, and Terraform to process and transform large datasets for analytics and ML.
Design and build scalable cloud data pipelines and ETL workflows using PySpark, SQL, and cloud platforms (AWS/Azure/GCP) to support AI-driven analytics for global enterprise clients.
Build and maintain data pipelines and infrastructure for AI solutions, working with Spark, Python, and LLMs to support machine learning models and predictive analytics.
Build and maintain cloud-based ETL/ELT pipelines and data platforms using Python, SQL, and Spark to deliver analytics-ready data for business decisions.
Senior Data Engineer to migrate and centralize an AML data platform using Python, PySpark, Databricks, and ETL pipelines for a banking client.
Build and maintain scalable data pipelines using PySpark/Scala, Hadoop, Airflow, and SQL in a DevOps environment, with hybrid work in Kraków.
Builds and maintains data pipelines on Palantir Foundry to deliver AI-driven analytics solutions for business challenges using Python and PySpark.
Senior Data Engineer builds and optimizes Databricks Lakehouse pipelines in Azure, using PySpark to create scalable data models and incremental loads for large datasets.
Senior Data Engineer builds scalable Lakehouse architectures and ETL/ELT pipelines using Databricks, Spark, and cloud services to turn logistics data into BI insights and support analytics across Azure, AWS, or GCP.
Builds and optimizes cloud-based data pipelines using Microsoft Fabric, Azure Synapse, PySpark, and SQL to process diverse datasets for analytics and reporting.
Designs and maintains scalable data pipelines on Azure and Databricks using PySpark to support business analytics and reporting.
Builds and maintains data platforms using Azure, Databricks, and AWS, focusing on Lakehouse architectures, ETL/ELT pipelines, and high-quality data delivery for analytics and AI teams.
Build and maintain Azure and Databricks cloud data pipelines, transform data with SQL and PySpark, and collaborate on scalable data solutions in a hands-on GenAI/LLM environment.
Builds and maintains AWS-based lakehouse and real-time data pipelines using Debezium, Kafka, PySpark and SQL to deliver trusted datasets for business users.
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