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Design and maintain data pipelines using Databricks, Python, and PySpark in Azure/AWS to build scalable ETL/ELT solutions for analytics and reporting.
Build and maintain scalable data pipelines and warehouses for an e-commerce shipping platform, ensuring reliable data flows for logistics, customer insights, and financial processes.
Build and optimize real-time data pipelines for gaming analytics using Python/Java/Go and SQL to support high-volume streaming data processing.
We are looking for a Software Engineer to join our Data Integration team in Amsterdam. The Data Integration team builds and operates the platform that moves data into, through, and out of Samba TV: ingestion from…
Build and optimize data pipelines and platforms (Azure, Databricks, dbt) for clients, using Python, SQL, Spark and ELT/ETL patterns to enable analytics and AI.
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 Alfen’s cloud-based data platform using Snowflake, Matillion, Python, SQL, and Power BI to integrate ERP, IoT, and HR data for analytics and decision-making.
Build and maintain SendCloud’s data lakehouse and pipelines on AWS, enabling AI-driven decisions and agentic workflows for global shipping logistics.
Build and own the full data pipeline on Azure, from ingestion to Power BI dashboards, ensuring scalable, reliable data flows that drive business decisions in a fast-growing product company.
Build and maintain a scalable data platform using Azure, PySpark, Delta Lake, and Microsoft Fabric to power analytics and decision-making across the organization.
Build and own the data infrastructure for a risk-detection platform serving e-commerce and logistics, designing pipelines, warehouses, and MLOps to process millions of real-time events.
Build and maintain Azure Databricks and Microsoft Fabric data pipelines, ETL/ELT processes, and Lakehouse architectures to deliver reliable data for analytics and reporting.
Builds scalable data pipelines and cloud-based analytics solutions using Databricks, Snowflake, and Microsoft Fabric to deliver business value.
Build and maintain data pipelines and scalable models that turn raw data into reliable insights for analytics and decision-making.
Build cloud-native data infrastructure that powers AI/ML features for a cybersecurity product, designing scalable pipelines and ensuring reliable data flows from source to model.
Designs and builds ETL/ELT pipelines, data models, and CI/CD workflows using tools like Snowflake, Airflow, Spark, and Kubernetes for high-profile clients.
Design, build, and maintain scalable cloud data pipelines and infrastructure to ensure high-quality, reliable data for analytics, ML, and business processes for government and enterprise clients.
Design and maintain cloud-based ETL/ELT data pipelines to connect and expose data for analytics, collaborating with analysts to solve technical and process bottlenecks.
Designs and builds scalable ETL/ELT pipelines in Azure Data Factory and Databricks using Python to transform and process large-scale data workflows.
Builds and maintains scalable data pipelines using Lakehouse/Lakeflow architectures, job orchestration, and ETL/ELT workflows to support analytics and reporting.
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