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Build and maintain scalable data pipelines on Google Cloud Platform for a tech accelerator in Amsterdam.
Builds scalable data pipelines in Python and SQL on Google Cloud, transforming raw data into usable datasets and automating workflows.
Build and maintain data pipelines and products for a Dutch pension and life-insurance provider using SQL, Python, Databricks and Azure.
Build and maintain data pipelines using Azure, Databricks, SQL, and Python to deliver reliable data for analytics and decision-making in a financial-services environment.
Lead a team to design and build data pipelines using Databricks and Airflow, translating business needs into scalable solutions.
Data Engineer responsible for migrating and improving data quality, extracting data from sources, and converting it to required formats.
Senior Data Engineer builds and maintains end-to-end data pipelines and integrates systems using Azure.
Build and maintain PHP integrations that ingest EV charging data from multiple sources, migrate legacy code, and implement AI-assisted quality gates for data pipelines.
Build and own Shiftbase’s BigQuery + Dataform warehouse from scratch, designing layered architectures and ELT pipelines that feed clean, governed HR data to teams and AI initiatives.
Senior Data Engineer designs, builds, and optimizes scalable cloud data and ML pipelines for finance and public-sector clients, using Azure, Databricks, and Snowflake.
Design and build scalable data pipelines and platforms using Python, Java, Scala, Spark, and cloud tools (GCP, AWS, Azure) to enable real-time analytics for enterprise clients.
Build and maintain robust ETL pipelines and cloud data infrastructure to ensure high-quality, reliable data flows for analytics and decision-making using AWS, Python, and modern data stack tools.
Senior Data Engineer builds scalable data platforms using Microsoft Fabric, Python, Spark, and APIs to power analytics and decision-making for a modern instant-photography company.
Designs and builds scalable data pipelines and warehouses using tools like MarkLogic, Hadoop, and MongoDB, while collaborating in an agile, innovative team.
Build and optimize cloud-based data pipelines and ML infrastructure for clients and internal AI tools using Python, Docker, Kubernetes, and GCP/AWS/Azure.
Builds a scalable data platform for real-time energy-grid sensor streams, integrating registers and events to power apps and analytics using Kafka, Spark, and Databricks.
Build and lead Vandebron’s open data lakehouse, shaping architecture, governance, and MLOps to power green-energy analytics and AI-driven customer intelligence.
Builds and optimizes cloud data warehouses on GCP, migrating Teradata workloads to BigQuery and writing ETL scripts with BTEQ/TPT.
Build and optimize cloud-based data pipelines to transform raw data into actionable insights using modern cloud technologies.
DevOps Engineer optimizing CI/CD pipelines and cloud automation for a Dutch IT service provider, ensuring high-quality software delivery in production.
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