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Build and maintain a scalable data platform using Python, PySpark, and Delta Lake, creating production-grade pipelines and ensuring data quality for BeFrank’s financial services.
Designs and maintains Azure Databricks lakehouse architectures, tuning pipelines and monitoring for 24/7 reliability while collaborating with client teams.
Designs and maintains Azure Databricks pipelines and lakehouses to ensure reliable, high-performance data platforms for clients, using Python, SQL, and modern data-ops practices.
Own and automate ML pipelines on Azure and Databricks, from data ingestion to model monitoring, ensuring reliability and observability for applied AI systems.
Senior Data Engineer building cloud-based data platforms for logistics and mobility clients using Python, SQL, Azure, and Databricks to optimize supply chains, route planning, and real-time tracking.
Design and build large-scale data pipelines in Python/Scala and Spark to curate high-quality datasets for training next-gen AI models at TB/PB scale.
Designs and builds scalable cloud-native data platforms and pipelines for healthcare clients, using Azure/AWS/GCP, Databricks, Airflow, and Kafka to enable secure, compliant analytics and governance.
Lead a team building scalable data pipelines and a Customer Data Platform for marketing automation, personalization, and growth at a top Benelux classifieds marketplace.
Designs and maintains ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake, deploying solutions via CI/CD with Azure Data Factory and SQL.
Senior Data Engineer builds scalable pipelines and data products for the energy transition using SQL, Python, and Azure tools like Databricks and Delta Lake.
Senior Data Engineer builds scalable, reliable data platforms and pipelines in cloud environments for mobility, energy, and finance clients, using Python, Spark, Airflow, and cloud tools.
Build and maintain ETL/ELT pipelines on Azure using Databricks, PySpark, and Delta Lake to move and transform data for analytics and reporting.
Build and maintain scalable data pipelines on Databricks for clients in healthcare and banking, ensuring reliable data flows that power analytics and AI systems.
Senior Data Engineer builds scalable, secure data platforms for banking, logistics and manufacturing clients using Databricks, PySpark, SQL and cloud orchestrators.
Principal Data Engineer designs and builds scalable Databricks-based data platforms, owning architecture from ingestion to consumption while guiding teams on Delta Lake, Unity Catalog, and governance.
Build and maintain a self-serve data platform for a large classifieds marketplace, owning batch and streaming pipelines, lake management, and APIs that power analytics and ML workloads using Databricks, AWS, Spark, Python, Kafka, and Airflow.
Design and build scalable data platforms using Microsoft Fabric, guiding clients through architecture, pipelines, governance, and analytics with Azure integration.
Build and maintain a Databricks-based data platform on Azure, migrating legacy systems and developing PySpark/Airflow pipelines for reliable, scalable financial data pipelines.
Builds and maintains large-scale data pipelines in Azure, Databricks, and Delta Lake to support analytics and ML, ensuring clean, governed data for a financial-services firm.
Build and maintain a scalable data platform using Azure, PySpark, Delta Lake, and Microsoft Fabric to power analytics and decision-making across the organization.
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