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Build and operate high-throughput data pipelines that ingest and structure real-time social data for a next-gen trading model, using AWS primitives and focusing on reliability and scalability.
HEINEKEN Global Shared Services in Kraków is looking for a skilled Data Quality Engineer to enhance data quality initiatives within Azure Databricks environments. The ideal candidate should have profound expertise in…
Data Integration Engineer Location: Poznań, PL, 61-569 Facility: POZNAN-6731 LyondellBasell a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy that…
Senior Big Data Engineer builds and maintains Databricks pipelines in Scala/Java, integrating Azure cloud services to support valuation and risk systems.
Designs and maintains scalable data pipelines on AWS using Spark, Python, and SQL, ensuring high-quality data for business insights.
Builds scalable big-data pipelines on Azure Databricks and Spark, using Java/Scala and Kubernetes to support risk-management services.
Tasks Data Center Infrastructure Management: Oversee the setup, configuration, and maintenance of data center infrastructure, including servers, storage systems, and networking equipment. Monitoring and Performance…
Builds and scales big-data pipelines in Scala/Java on AWS Spark to analyze millions of events for financial-market security.
Designs and maintains scalable data pipelines on AWS and Snowflake, implements data quality controls, and improves data platform workflows using dbt and orchestration tools.
Builds GenAI data pipelines, agents, and microservices to feed and sync with large-language models, using Python, FastAPI, and cloud tools like GCP and Azure.
Builds and maintains ETL pipelines and reporting solutions using Oracle, SQL Server, and Power BI for a banking-focused client.
Builds and maintains production ML pipelines and ETL workflows in Python to deploy and monitor machine-learning models for a bank.
Designs and builds scalable Azure data pipelines and platforms to enable data-driven decisions, using Azure Data Factory and DevOps practices.
Senior AI Data Engineer builds scalable ELT pipelines and AI-driven analytics using SQL, dbt, Snowflake, and Spark to power Zendesk’s customer-facing and internal data products.
Build and maintain data pipelines and cloud-based analytics solutions for global clients while learning AI/GenAI tools and data engineering under mentorship.
Build and maintain a cloud-based big data platform using Spark, Azure Databricks, Java, and Scala, with Kubernetes, Terraform, and GitLab CI/CD.
Build and maintain scalable data pipelines and analytics software in Python and SQL, integrating IoT, CRM, and cloud platforms (Azure/Databricks) to power climate-tech solutions.
Build and maintain high-performance Java services for a global sports betting platform, ensuring real-time data processing and 24/7 uptime.
Design and build a modern data platform on Databricks and Azure, implementing scalable ETL/ELT pipelines and integrating data from multiple sources.
Designs real-time data pipelines and AI models that turn raw commerce events into structured intelligence for autonomous checkout optimization and agentic commerce decisions.
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