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AWS Data Engineering Lead
Lead a data engineering squad in Madrid, designing and optimizing AWS-based data pipelines (ETL/ELT) using S3, Redshift, and Data Lake to ensure high-quality, performant data flows.
Lead, Data and AI Engineer
Lead the design and deployment of cloud-native data pipelines and AI platforms on AWS, collaborating with cross-functional teams to enable scalable, secure analytics and ML workloads.
Data Engineering Lead: Cockpit Data Factory
Lead a data engineering team to build and optimize pipelines using Databricks and Azure Data Lake, ensuring alignment with product goals and cross-team collaboration.
Data Engineering Lead W/M
Lead a team building and optimizing data pipelines for AXA’s global insurance operations using Databricks, Azure Data Lake, and PySpark to deliver scalable analytics and reporting.
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 (#5647)
Design and maintain a hybrid cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, pipelines, IAM, and observability to power analytics and AI transformation.
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 Engineer (Java, Spark, Python) 100% remoto desde España
Build and migrate scalable data pipelines from Java/Spark to Python, design a corporate Data Lake, and integrate data into MongoDB/PostgreSQL for BI and Data Science teams.
Junior Data Engineer & BI | Driving Growth (Hybrid Madrid)
Build and maintain data pipelines, clean and integrate datasets, and create BI dashboards to support business decisions using SQL, TypeScript, and BI tools.
Data Engineer&Architect AWS (DIA Datamarts)
Build and migrate data models, ETL pipelines, and data warehouses on Snowflake and AWS for Allianz’s OneDIA ecosystem.
Data Engineer AWS (DIA Datamarts)(m/f/d)
Design and migrate data models and ETL pipelines to Snowflake and AWS for Allianz’s OneDIA ecosystem, building data lakes, vaults, and marts while ensuring data quality and catalog integration.
Data Ops Engineer + GenAI
Build and maintain data pipelines, clean and structure financial data, and integrate GenAI solutions like LLMs and RAG for a banking-focused project using Python, SQL, and ETL/ELT.
Arquitecto de Soluciones del Dato | Data Engineer & Cloud Analytics Barcelona
Designs and leads enterprise-scale data and cloud analytics architectures for clients, driving modernization roadmaps and ensuring secure, governed solutions while mentoring teams.
Senior Data Engineer (m/f/d) Databricks
Design and build scalable ETL/ELT pipelines on Databricks to ingest, transform, and store data for analytics and decision-making.
Junior Data Engineer | BI & Data - Compañía Digital Sector Fintech
Build and maintain data pipelines, clean and integrate financial data, and create BI dashboards using SQL, TypeScript, and Python in a fintech company.
Data Engineer: ETL/ELT, Azure & BI Dashboards
Build and optimize ETL/ELT pipelines in Azure (Data Lake, Databricks, Synapse, Data Factory) to feed Power BI dashboards and support analytics for a global hotel group.
Junior Data Engineer | BI & Data - Compañía Digital Sector Fintech
Build and maintain data pipelines, clean and integrate financial data, and create BI dashboards to support decision-making in a fintech company.
Data Engineer - Spark, Azure Lakehouse, BI ETL
Builds and maintains data pipelines using PySpark, Spark SQL, and Azure Lakehouse to power BI and analytics workloads.
Big Data Engineer: AWS, Spark & Kafka
Maintain and optimize a corporate data lake using AWS, Spark, Kafka, and Python, ensuring scalable data processing and performance.
Senior Databricks Data Engineer: Shape Modern Data Lakes
Senior Data Engineer builds and maintains Databricks-based data lakes and lakehouses, collaborating with architects and BI teams to set standards and deliver scalable data pipelines.