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Data engineer
Build and scale a new data warehouse and pipelines for a fast-growing fintech, using SQL, Python, AWS, and Terraform to enable analytics and real-time decision-making.
Data Engineer
Build and maintain Azure-based data pipelines and star-schema models to feed analytics and models, using Synapse, ADF, and DevOps.
Data Engineer
Build and maintain scalable data pipelines on Azure to unify marketing, customer, and insurance data for real-time insights and improved customer experience.
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 maintain scalable data pipelines using AWS, Databricks, and Python to process and integrate healthcare data for analytics and reporting.
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
Design and maintain data pipelines using Databricks, Python, and PySpark in Azure/AWS to build scalable ETL/ELT solutions for analytics and reporting.
Azure Data Engineer - Build Scalable Cloud Data Pipelines
Build and maintain scalable cloud data pipelines in Azure, transforming raw data into insights using PySpark, Databricks, Fabric, and Snowflake for clients in healthcare, retail, energy, and government.
Medior Data Engineer - Power BI Dashboards & Data Pipelines
Builds and maintains Power BI dashboards and data pipelines for sustainability monitoring in industry, using Azure/Databricks, PySpark, and ETL processes.
Data engineer
Build and maintain a scalable data platform using Azure, PySpark, Delta Lake, and Microsoft Fabric to power analytics and decision-making across the organization.
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
Build and improve a data foundation for a large retail client, implementing data products, pipelines, and governance to enable a data mesh architecture using GCP, SQL, Python, and dbt.
Data Engineer
Builds scalable cloud data pipelines and AI-ready platforms using Python, PySpark, DBT, and SQL, transforming raw data into insights for customers and internal products.
Data Engineer
Builds and migrates Python/PySpark data pipelines on Databricks for corporate credit-risk models, converting SAS code and ensuring data quality and performance.
Data Engineer
Design and build scalable data pipelines and cloud architectures (Azure, Databricks, Snowflake) to power analytics and AI solutions for clients.
Lead Data Engineer — Data Pipelines & Cloud
Lead role designing and building scalable data pipelines, ETL processes, and cloud data infrastructure (e.g., Databricks, Snowflake) to power analytics and AI projects for clients in retail, finance, and healthcare.
Data Engineer: Scalable Pipelines & Data Quality
Builds scalable data pipelines and ensures data quality using Python and PySpark for a fintech company in Amsterdam.
Senior ETL & Python Developer - Data Merger Project
Design and build ETL pipelines in Python to merge banking data from Oracle, SQL Server, APIs and flat files into a target data warehouse.
Python Developer
Build and maintain data pipelines in Python to ensure high-quality B2B lead data for a fast-growing marketing platform.
Senior Python developer
Build and maintain a Python-based ETL framework that ingests, transforms, and delivers financial data using Spark, Azure Databricks, and Airflow.