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AI-Enhanced Data Engineer: Remote & Snowflake/dbt
Build and maintain data pipelines using Snowflake and dbt Cloud, ensuring data quality and modernizing the analytics stack with CI/CD and automated testing.
Data Engineer: Microsoft Fabric & Azure
Build and optimize ETL pipelines on Microsoft Fabric and Azure Data services, ensuring data quality and integration for analytics teams.
Senior Data Engineer - Data Platform & Lakehouse Architect
Designs and builds scalable data platforms, lakehouse architectures, and ETL/ELT pipelines to support analytics and AI workflows in a hybrid, international team.
Senior Data Engineer – Remote (Spain) Databricks Lakehouse
Senior Data Engineer builds and maintains Databricks Lakehouse pipelines for a fintech client, focusing on Unity Catalog, data quality, and CI/CD.
Revenue Operations Data Engineer — Madrid
Builds and maintains data pipelines to connect marketing, sales, customer success, and finance systems for revenue decisions.
Lead Data Engineer (Cross Domain)
Lead a team building and maintaining scalable data pipelines on Azure/Databricks using dbt, PySpark, and CI/CD, delivering production-grade data products from raw ingestion to Gold-layer analytics in a global health and sustainability company.
Data Engineer, Revenue Operations
Build and maintain scalable data pipelines and analytical models to support revenue operations, integrating CRM, marketing, and financial systems using Databricks, BigQuery, and Python.
Data Engineer (Snowflake & dbt)
Build and optimize Snowflake data pipelines and dbt models for analytics, applying ELT, Kimball modeling, and automated testing in a cloud-native environment.
Data Engineer (Remote - EMEA or NAMER)
Build and scale cloud-based data pipelines and APIs using Databricks, Spark, and Python to power analytics and product features in a fully remote role.
Senior Data Engineer - Platform
Build and maintain Ebury’s scalable data platform using Python, SQL, and GCP tools like BigQuery to enable reliable analytics and insights across the company.
AI-Augmented Data Engineer
Build AI-assisted data pipelines using Snowflake, dbt Cloud, and Fivetran to transform raw retail data into trusted business insights for C&A’s e-commerce division.
Senior Data Engineer - Platform
Build and maintain Ebury’s scalable data platform using Python, SQL, and GCP tools like BigQuery to enable global fintech operations and insights.
AI-Augmented Data Engineer
Build and maintain AI-augmented data pipelines for a retail e-commerce platform using Snowflake, dbt, Fivetran, and AI coding assistants like Claude Code.
Data Engineer Barcelona, Spain
Build and maintain a modern data platform in AWS/Snowflake, designing pipelines with Python/SQL and dbt to power analytics and reporting for a crypto-fintech platform.
Senior Data Engineer - ODS
Senior Data Engineer builds and optimizes scalable Spark-based data pipelines on AWS to power analytics, ML, and reporting for a digital banking platform.
Senior Data Engineer & AI
Build and maintain cloud data infrastructure, orchestrate ETL pipelines, and support AI initiatives for a fast-growing creative and tech ecosystem.
AI Data Engineer
Build AI-ready data pipelines and domain products in Microsoft Fabric and Snowflake, focusing on semantic annotation, vector stores, and RAG foundations for enterprise reuse.
Senior Data Engineer
Senior Data Engineer builds and maintains AWS-based data pipelines and Databricks workflows to process vehicle telemetry and fleet data, ensuring clean, scalable data for analytics and ML at a mobility/logistics company.
AI Data Engineer
Builds AI-ready data pipelines and products for life-science diagnostics, turning raw lab data into retrieval-ready, semantically annotated assets used by AI agents and downstream models.
Data Engineer (GCP)
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform to power analytics and AI use cases for enterprise clients.