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Senior AI Data Engineer — Remote, GraphRAG & LLM
Designs scalable data pipelines and AI retrieval systems using Python, GraphRAG, and knowledge graphs like Neo4j for a remote-first AI product team.
Senior Data Engineer at Zurich Insurance
Build and maintain a Databricks-based data warehouse and ETL pipelines for investment analytics at a global insurer, using Python, SQL, Spark and Azure.
Data Engineer - Databricks + AWS
Senior Data Engineer builds and maintains scalable data pipelines on AWS and Databricks, designing domain-account architectures, EMR, Athena, Glue Catalog, and Lake Formation for real-world projects.
Data Engineer (Remote - EMEA or NAMER)
Build and scale modern data pipelines and APIs using Databricks, Spark, and cloud platforms to power analytics and product features in a fully remote role.
Data Engineer Azure / Databricks
Build and optimize scalable ETL/ELT pipelines on Azure Databricks using PySpark, Delta Lake, and Unity Catalog to integrate diverse data sources for enterprise clients.
Senior Data Engineer Madrid
Senior Data Engineer builds and optimizes cloud-based data pipelines using PySpark, SQL, and cloud services (Azure, AWS, GCP) to deliver scalable analytics solutions for enterprise clients.
Data Engineer (with Microsoft Stack)
Build and maintain data pipelines using Microsoft’s stack (Azure Data Factory, Synapse, Fabric) to integrate and transform data for analytics and AI solutions.
Senior Data Engineer | Cloud Data Projects
Senior Data Engineer building cloud data pipelines and AI solutions for enterprise clients, using SQL, ETL automation, and Databricks to drive analytics and ROI.
Data Engineer: Build Trusted Pipelines in a Global Team
Build and maintain data pipelines using Snowflake and Databricks to ensure reliable data integrations for a global team.
Senior Data Engineer - Azure/ Data Fabric
Build and optimize scalable cloud data pipelines using Snowflake, Databricks, and Microsoft Fabric, ensuring data quality and governance for enterprise clients.
Data Engineer: Microsoft Fabric & Azure Pipelines (Hybrid)
Builds and maintains end-to-end data pipelines using Microsoft Fabric, Azure Data Factory, and Spark/Databricks to power modern analytics platforms.
(Relocation to Spain) Data Engineer
Design and build scalable data pipelines and cloud architectures using Python, PySpark/Scala, and cloud platforms (AWS, Azure, GCP) to enable analytics and ML workloads for enterprise clients.
Senior Data Engineer: Lakehouse & Real-Time Pipelines
Design and evolve a modern data platform using Databricks to build scalable Lakehouse pipelines and real-time analytics for ML and business decision-making.
Data Engineer III at Emburse
Build and maintain data pipelines, warehouses, and AI integrations for Emburse’s travel and expense SaaS platform using Snowflake, Databricks, AWS, and Looker.
Senior Data Engineer — Remote & Flexible Hours
Design and maintain a centralized Databricks-based data platform for the air transport industry, enabling scalable analytics and AI/ML use cases.
Data Engineer – AI-Driven Pipelines & BI Platform
Build and maintain AI-driven data pipelines and BI platforms using Snowflake, Databricks/Spark, AWS, and Looker to power SaaS analytics and support data science.
PySpark AWS Data Engineer
Build and maintain scalable PySpark data pipelines on AWS EMR and S3, deploying cloud-native infrastructure with Terraform/CloudFormation for clients across industries.
Senior Lead Data Engineer
Build and scale cloud-based data pipelines and platforms using AWS, Python, PySpark, and Databricks to deliver reliable, high-performance data solutions for analytics and business needs.
Hybrid Data Engineer — Databricks & ADF Cloud Pipelines
Designs and maintains scalable data pipelines using Databricks, Azure Data Factory, and cloud platforms to deliver data-driven solutions in a hybrid Madrid role.
Data Engineer (Azure & Modern Data Platform)
Build and optimize cloud data pipelines for analytics using Azure Data Factory, Databricks, and Power BI to enable strategic decision-making for enterprise clients.