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Data Engineer @ GFT Poland
What will you do? As a Data Engineer, you will design and develop modern data platforms and data products in cloud and on-premise environments. You will work closely with business and technical teams to build scalable…
Zé Delivery | Analytics Engineer (São Paulo - SP)
Build and maintain analytical data models, DAX measures, and Power BI reports to deliver business insights, using SQL, Power Query/M, and Azure-based pipelines.
Data Engineer | Microsoft Fabric | Grassobbio
Design and build data pipelines and analytics solutions using Microsoft Fabric, Azure, and Apache Spark for enterprise clients.
Data Engineer
Builds and maintains Databricks-based data pipelines on AWS to support energy-transition projects for Belgian retail customers.
SENIOR DATA ENGINEER &TRAINING LEAD
Senior Data Engineer & Training Lead designing and implementing scalable data platforms (Databricks, Snowflake) while mentoring junior engineers and delivering technical training programs.
Lead Data Engineer
Lead the design and implementation of a modern data platform (Azure, Salesforce Data 360) to unify customer data, build reporting in Power BI, and integrate core systems like ERP and CRM.
Data AI Engineer (m/w/d) Azure Databricks / Lakehouse
Build and optimize Azure Databricks-based data pipelines and Lakehouse architectures, integrating AI features and Microsoft tools to deliver scalable analytics solutions for enterprise clients.
Senior Data Engineer
Design and build scalable data pipelines and lakehouse architectures using Python, Spark, Kafka, and cloud platforms to enable real-time analytics and ML workflows.
Principal Data Engineer (Microsoft Fabric)
Principal Data Engineer leading Microsoft Fabric architecture, governance, and pipelines for real-time analytics and AI integrations in a regional government data ecosystem.
Data Platform Engineer (FP&A Solutions)
Build and maintain a standardized FP&A data platform using Microsoft Fabric and Power Platform to automate finance planning, payroll, and analytics across EMEA.
AI Data Engineer - Microsoft Fabric & Azure (h/f)
Design and maintain scalable data pipelines using Microsoft Fabric and Azure to support AI-driven analytics and lakehouse architectures.
Senior Data Engineer - Feature Platform
Build and scale a feature platform that powers real-time ML ad recommendations, handling batch and streaming pipelines with Python, Flink, and Spark to serve low-latency features for model inference.
AI Data Engineer — Fabric & Azure Data Pipelines
Build and optimize data pipelines with Microsoft Fabric and Azure to support AI and analytics initiatives in a collaborative team.
Cloud Data Architect, Data Modeler (Remote)
Designs and implements secure, scalable cloud data platforms and models for a federal judiciary modernization program, focusing on data warehouses, lakes, and governance aligned with government standards.
Senior Data Engineer (Remote)
Senior Data Engineer builds and maintains cloud-based data pipelines, ETL/ELT processes, and data platforms for a federal court modernization program using SQL, Python, and cloud services like Snowflake or AWS.
Business Data Analyst
Bridge between federal stakeholders and technical teams to define, document, and govern data requirements for a cloud-based case management system supporting 204+ U.S. federal courts.
Lead Data Engineer (Remote)
Lead a team building secure, cloud-based data pipelines and platforms for a federal judiciary modernization program, using SQL, Python, and AWS services to support analytics and AI/ML workloads.
Lead Business Data Analyst (Remote)
Lead a federal data modernization effort, translating court-system needs into cloud-based analytics, AI/ML, and reporting solutions while managing requirements, governance, and documentation for 204+ federal courts.
Senior Data Engineer - AWS, DataOps & Big Data (Remote)
Designs and maintains scalable data pipelines, warehouses, and lakehouse architectures using AWS, CI/CD, and observability tools like CloudWatch and Grafana.
Data Platform Engineer (m/w/d)
Builds and governs data platforms (Data Lake, Lakehouse, Data Mesh) and ensures data quality, compliance, and security while collaborating with teams to meet business data needs.