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Senior Data Engineer — Data Migration Lead (Clearance)
Leads large-scale data migration projects, designs ETL pipelines, and ensures seamless transitions between systems using Informatica, RDBMS, AWS, and Java.
Data Engineer (Azure Data Platform)
Design and implement Microsoft Fabric and Azure-based data pipelines, ETL/ELT processes, and AI-driven analytics solutions for enterprise clients.
Data Engineer (Azure Data Platform)
Build and optimize Azure Data Factory/Synapse pipelines and Microsoft Fabric solutions, integrating AI-powered analytics and Power BI models to deliver business insights for clients.
Tech Lead Full Stack Engineer (Python, React, AI/LLM)
Lead a team building an AI-powered document processing platform for a global bank, using Python, React, and Google Cloud to automate workflows and integrate LLMs.
Data Engineer, Medical Data Foundation
Build and govern a medical-data foundation for AstraZeneca, designing ETL pipelines, data models, and governance to make AI-ready datasets available to medical teams and analytics platforms.
Full Stack Engineer: Python, React & ML/NLP in the Cloud
Builds full-stack apps with Python (FastAPI) and React, deploys to cloud, and integrates ML/NLP models into production pipelines.
Lead Data Engineer
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Azure Data Factory, Databricks, and SQL Server, ensuring high-quality financial data for decision-making.
Lead Data Engineer
Lead a team to design, build, and maintain scalable data pipelines in Azure Data Factory, SQL Server, and Databricks, ensuring high-quality, reliable data workflows for financial markets infrastructure.
Senior Data Engineer
Build and maintain cloud-based data pipelines and APIs to process geospatial data (weather, satellite, locations) for agribusiness insights using Python, PostgreSQL/PostGIS, GCP, and AWS.
Azure Data Engineer
Design and build scalable HR data pipelines on Azure Databricks and ADF, focusing on automation, quality, and observability for employee lifecycle solutions.
Azure Data Engineer
Design and build scalable Azure Databricks and Data Factory pipelines for HR analytics, using Python/Scala and Spark to automate data workflows and ensure quality.
Lead Data Engineer
Lead a team building cloud data lakes and pipelines using Databricks, Python, and Azure/GCP, balancing hands-on development with technical leadership.
Senior Data Engineer
Senior Data Engineer builds scalable data pipelines and analytics solutions on GCP to enable data-driven decisions across Bunge’s global agribusiness operations.
Mid Data Engineer
Build and optimize cloud data lakes and pipelines using Databricks, Python, SQL, and cloud services like Azure/GCP/AWS to deliver scalable analytics solutions.
Data Engineer in Poland
Build and maintain large-scale data pipelines and analytics platforms for ad-tech, transforming media consumption data into insights using SQL, Python, Airflow, and cloud services.
Data Engineer (Poland)
Build and maintain high-volume data pipelines and analytics solutions for adtech, transforming audience/media data into actionable insights using Python, PySpark, Airflow, and Kubernetes on AWS/Databricks.
Google Cloud Full-Stack Engineer | DevOps & Automation
Designs and builds full-stack cloud solutions on Google Cloud Platform using Python and JavaScript, automating deployments and creating data dashboards.
Foundry Data Engineer - AI Pipelines & Impact (Flexible)
Builds and maintains AI/ML data pipelines on Palantir Foundry using Python and PySpark to deliver client solutions for European enterprises.
Data Engineer
Builds and maintains data pipelines and warehouses using SQL and Python to support analytics and BI at a product-focused company.
Business Intelligence Analyst
Builds and maintains dashboards and reports using SQL and Tableau to analyze customer behavior and loyalty programs for retail clients.