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Senior Cloud Data Engineer/Architect - AWS & GCP
Designs and builds modern data platforms and ETL/ELT pipelines on AWS and GCP using Python/PySpark, following Medallion architecture and cloud best practices.
Data Engineer – Databricks, AI & Data Products (m/f/d)
Build and maintain Databricks-based data pipelines, models, and AI-ready data products that integrate structured and unstructured data for analytics, reporting, and AI use cases.
Data Software Engineer
Build and optimize data pipelines and infrastructure for motor insurance analytics, using Python, Spark, Kafka, and cloud platforms to enable forecasting and data science workflows.
Data Platform Engineer
Build and maintain Google Cloud-based data pipelines and models to power real-time analytics and AI insights for a global fitness-tech leader.
Data Engineer (m/w/d) – Databricks, AI & Data Products
Build and maintain Databricks-based data pipelines and AI-ready data products, integrating structured and unstructured data for analytics, reporting, and AI use cases.
Data Platform Engineer
Builds and maintains the company’s end-to-end data platform, focusing on Microsoft Fabric, Power BI, and Dynamics 365 to deliver reliable analytics and reporting for Finance and business decisions.
Junior Data Engineer - Cloud & DataOps (Banking)
Designs and builds batch and near-real-time data pipelines on-prem and in the cloud for a large bank, focusing on data quality and governance within a DataOps framework.
GCP Cloud Data Engineer - Hybrid Modern Data Platforms
Designs and builds modern data platforms on Google Cloud using Python, PySpark, and IaC, focusing on Medallion Architecture and data governance.
Lead Data Engineer / International Project - Milan hybrid
Lead a data engineering team to build and scale AI-driven pipelines for a fintech startup, using GCP, Python, and LLM-based enrichment to analyze financial data.
Senior Data Engineer — Unified Data Platform for 60+ Brands
Senior Data Engineer builds and maintains a central data platform for 60+ brands using Databricks, SQL, and cloud tools.
Databricks Data Engineer — Remote/Hybrid Opportunity
Designs and builds scalable data pipelines and architectures using Databricks, Spark, and cloud platforms (Azure/AWS/GCP), ensuring data governance and performance.
Remote Data Engineer for Individual Giving
Designs and maintains scalable data pipelines and cloud data warehouses for a global fundraising program, ensuring data quality and governance in a remote, international team.
AWS Cloud Data Engineer/Architect
Design and build modern, scalable data platforms on AWS, including ETL/ELT pipelines, data modeling, and governance using Python, PySpark, and Terraform.
Data Engineer (MS SQL Server / SSIS)
Designs and maintains ETL pipelines in SSIS for enterprise data integration, optimizing SQL Server queries and stored procedures in a consultancy setting.
Data Engineer I (On Site - Rome)
Build and maintain scalable data pipelines and distributed systems using Java, NoSQL, and RDBMS to support data-driven applications and architectures.
AWS Cloud Data Engineer/Architect
Designs and builds AWS-based data platforms and pipelines for enterprise clients, using Python, PySpark, and Terraform to enable scalable, governed analytics and cloud-native data architectures.
Remote Data Engineer for Individual Giving
Designs and maintains scalable data pipelines and cloud data warehouses for WFP’s global fundraising and CRM systems, ensuring data quality and governance in a remote setting.
Junior GCP Data Engineer
Build and maintain GCP-based data pipelines, clean and structure raw data, and integrate ML models for clients, using services like Dataflow, BigQuery, and Vertex AI.
Junior Cloud Data Engineer
Builds and maintains cloud-based data pipelines, transforms raw data into usable datasets, and integrates ML models for scalable execution in a consultancy setting.
Google Cloud Data Engineer
Designs and builds Google Cloud data pipelines, transforms raw data into clean datasets, and integrates ML models for scalable execution to power analytics and AI workloads.