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Data Engineer
Build and maintain data pipelines, warehouses, and models in Azure using Microsoft Fabric and ADF to support analytics and reporting.
Azure Data Engineer: Modern Data Pipelines & BI
Designs and maintains Azure-based data pipelines using Microsoft Fabric and Azure Data Factory to ingest, transform, and govern data for analytics.
Data Engineer (OT Data)
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Data Engineering Consultant (Category - Architect)
Design and build scalable data platforms for industrial IoT and AI in oil & gas, using Azure cloud services and real-time streaming pipelines.
Senior Data Engineer (Azure/Databricks)
Build and maintain scalable data pipelines and lakehouse architectures on Azure/Databricks, enabling analytics and reporting for HR and people operations.
Principal Data Engineer
Principal Data Engineer designs and leads enterprise-scale data platforms and pipelines at Kingfisher, using Python, Spark, and cloud services to enable analytics and business value across retail brands like B&Q and Screwfix.
DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Data Engineering Manager Barcelona, Spain
Lead a team to design and build scalable cloud data platforms and AI infrastructure using Python, PySpark, SQL, and Azure services.
Director, Data Engineering (Capital Markets)
Lead a team to build and govern scalable data platforms for JLL’s Capital Markets unit, integrating real-estate data for analytics, AI/ML readiness, and automated insights.
Data Platform Engineer: Databricks & Power BI (Hybrid)
Design and build scalable data platforms using Databricks, Azure Data Factory, Power BI, and Azure Analysis Services to deliver insights for cross-functional teams.
Data & ML Platform Engineer – Azure
Build and maintain Azure-based data and ML pipelines for Burger King, Popeyes, and Tim Hortons, focusing on Databricks, Azure ML, AKS, and MLOps workflows.
Data Engineering Manager
Lead a team to design and build scalable cloud data platforms, ETL/ELT pipelines, and AI infrastructure using Python, PySpark, SQL, and Azure services.
Data Platform Engineer - (Databricks and Power BI)
Build and maintain a global data platform using Databricks, Azure Data Factory, and Power BI to deliver analytics solutions for a recruitment firm.
Data Engineering Analyst
Build and maintain data pipelines in Azure Data Factory and Databricks, ensuring clean, accessible data for analytics and ML while enforcing governance and quality standards.
Senior Data Platform Engineer (m/f/d)
Build and optimize a modern analytics platform using Microsoft Fabric and Azure cloud tools to migrate from legacy SAP BW systems, focusing on ETL pipelines, data modeling, and Power BI reporting.
Senior Data & Analytics Engineer - Healthcare
Build a cloud-based healthcare data platform from scratch using Databricks, Azure Data Factory, PySpark and event-driven architectures to enable near real-time analytics and business insights.
Data Engineering Analyst
Build and maintain cloud data pipelines for clients using Azure Data Factory, Databricks, and Azure Data Lake Storage, ensuring clean, reliable data for analytics and ML teams.
Data Platform Engineer
Build and extend a global data platform using Databricks, Azure Data Factory, Azure Analysis Services and Power BI to deliver BI and data-warehousing solutions for a multinational recruitment firm.
Senior Data Engineer – Real-Time MedTech on Azure/Databricks
Design and build a real-time data platform for healthcare analytics using Azure, Databricks, and PySpark, focusing on scalable, event-driven architectures.
Senior Data Engineer | Spark, Databricks, MongoDB y Azure Data Factory
Build and optimize cloud-based data pipelines using Spark on Databricks, MongoDB, Delta Lake, Airflow and Azure Data Factory to turn raw data into scalable, production-grade analytics platforms.