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Data engineer
Designs and maintains scalable data pipelines in Microsoft Azure Fabric, transforming raw data into reliable analytics-ready datasets using Azure Synapse, Data Factory, Spark and SQL.
Data Engineer: Real-Time Data Platform & Pipelines
Build and maintain scalable real-time data pipelines and infrastructure using tools like Azure Data Factory and SQL to ensure high-quality data integration for a growing climate-tech company.
Data Engineer
Build and maintain scalable cloud-native data pipelines and platforms that power analytics, machine learning, and AI for enterprise clients.
Data Engineer
Design and build scalable cloud data pipelines and AI-ready architectures using Azure services to turn raw data into reliable, analytics-ready datasets for ML and decision-making.
Data Engineer
Designs, builds, and maintains secure ELT pipelines and data models for municipal data, ensuring high-quality datasets for BI, policy, and AI use cases in a government setting.
Data Engineer
Build and optimize Azure-based data pipelines and models for a bank’s liquidity and regulatory reporting, ensuring accuracy and compliance in a regulated environment.
Data Engineer
Design and build cloud data pipelines and warehouses using Azure services to turn raw data into insights for clients, focusing on ETL, performance, and scalable architectures.
Data Engineer: Azure Pipelines, Databricks & BI
Builds and optimizes Azure-based data pipelines with Databricks and Fabric, then delivers insights via Power BI dashboards for clients.
Data Engineer
Build and maintain data pipelines and ETL processes using Azure tools to transform raw data into structured, usable formats for clients.
Data Engineer
Design and maintain cloud-based data pipelines and the enterprise Master Data Repository in Azure, enabling reliable data flows and analytics for a high-tech electronics manufacturer.
Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure to deliver high-quality, reliable data for analytics, ML, and business processes for government and enterprise clients.
Data Engineer
Build and optimize cloud-based data platforms for clients using Microsoft Azure, Python, SQL, and ETL tools to transform raw data into reliable, scalable pipelines for analytics and AI.
Senior Data Engineer: Scalable Pipelines & Data Governance
Designs and builds scalable data pipelines on Databricks and Azure Data Factory, ensuring high-quality data ingestion and governance for a leading data-solutions company.
Data Engineer
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.
Data Engineer
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.
Data Engineer
Build and maintain Azure Databricks and Microsoft Fabric data pipelines, ETL/ELT processes, and Lakehouse architectures to deliver reliable data for analytics and reporting.
Data Engineer
Design and build scalable data platforms using Microsoft Azure, Fabric, and Power BI to deliver analytics and insights for clients.
Data Engineer
Builds and maintains scalable data pipelines and infrastructure for a global agri-tech company, integrating IoT and climate data to support analytics and AI-driven solutions.
Data Engineer
Design, build, and optimize modern data platforms on Microsoft Azure for leading Dutch organizations, focusing on data ingestion, transformation, modeling, and visualization.
Data Engineer
Designs and builds ETL/ELT pipelines, data models, and CI/CD workflows using tools like Snowflake, Airflow, Spark, and Kubernetes for high-profile clients.