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Design and maintain scalable data pipelines using Databricks, Spark, and Delta Lake, integrating diverse data sources for analytics and ML workloads.
Build and maintain Azure-based data pipelines and warehouses using T-SQL, Synapse, Data Factory, Databricks, and streaming services to deliver clean, reliable data for analytics and modeling.
Design and build a scalable data warehouse/lake and ETL/ELT pipelines using Databricks and Azure Data Factory to feed analytics and AI workloads across GEA’s global operations.
Builds and maintains scalable ETL/ELT pipelines and data platforms using Python, SQL, PySpark, and Azure services like Databricks and Data Factory.
IT Software Quality Engineer (ETL / Big Data) We are working with a leading company seeking an experienced IT Software Quality Engineer to drive quality assurance across complex data platforms and cloud-based…
Build and maintain a secure, scalable Azure-based data lake platform using Python, Terraform, and DevOps practices.
Airswift is seeking a Software Quality Engineer for a freelance engagement in The Hague (1-3 days per week). You will ensure the quality of large-scale data platforms, ETL pipelines and reporting solutions, with…
Build and optimize scalable cloud data infrastructure using Azure/AWS/GCP, Kubernetes, and Databricks to power RTL’s media and digital storytelling platforms.
Build and optimize scalable data analytics solutions for clients using Azure tools like Fabric, Synapse, and Power BI, blending technical skills with business impact and AI-driven insights.
Design and maintain the data architecture for a major stadium’s event operations, building ETL pipelines in Azure to clean and process large datasets for analytics and business use.
Design and build scalable Azure data pipelines using Databricks, PySpark, and Azure services to process and transform enterprise data for analytics and migration projects.
Builds scalable data pipelines and analytics using Azure, Fabric, and Quantexa for financial and regulatory clients, integrating Spark, Scala, and Power BI.
Senior Data Engineer building scalable Azure-based lakehouse and Data Vault architectures using Synapse, Databricks and Data Lake for enterprise analytics.
Build and maintain a modern data platform using Databricks, SAP BI tools, and SQL to power dashboards, reports, and future AI initiatives for a wholesale food distributor.
Leads Azure-based data pipelines and cloud projects using Databricks, Data Factory, Data Lake, and Synapse, while mentoring junior and mid-level engineers.
Designs and maintains scalable data pipelines and solutions using SQL, NoSQL, Azure Data Factory, and Python for production environments.
Senior Data Engineer builds and optimizes Azure-based data pipelines and Power BI reports for financial crime and compliance use cases, integrating Quantexa’s graph analytics.
Builds and maintains scalable, secure data platforms using Azure, Databricks, and Python to power data-driven decisions for clients in energy, healthcare, logistics, and mobility.
Build and maintain GCP-based data pipelines and data lakes for a finance client, using Scala and Spark to industrialize ML/OR models and replace legacy warehousing systems.
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