Tech jobs
Job listings
Azure Databricks Data Engineer
Build and optimize large-scale data pipelines using Scala, Python, PySpark, and Databricks on Azure, designing Data Lakes and Warehouses for high-performance analytics.
Data Engineer | 100% Remote - zaragoza
Build and maintain secure ETL/ELT pipelines in Python and AWS to migrate large-scale customer and financial data, ensuring quality, reconciliation, and auditability.
Senior Data Engineer
Design and build scalable data platforms (lakehouse, ETL, catalogs) in Python/SQL, using Spark, Airflow, and cloud tools to power AI/ML systems for enterprise clients.
Senior Data Engineer
Designs and maintains large-scale data platforms (lakehouse, pipelines, catalogs) for a quantum/AI software company, ensuring data accuracy, governance, and accessibility for AI/ML and enterprise clients.
Data Engineer - Lognext
Builds and maintains data pipelines, ETL processes, and analytical solutions using SQL, Python, and PySpark to transform raw operational data into business insights for an insurance multinational. Bridges technical and business teams to deliver dashboards, APIs, and ML-driven reporting in Power BI.
Data Engineer - murcia
Build and optimize scalable data pipelines on GCP using BigQuery, dbt, and Airflow to deliver reliable, high-quality datasets for analytics and data science teams.
Lead Data Engineer
Lead a data engineering team to build and scale a modern data platform (Azure, Salesforce Data 360) for a large sports organization, integrating ERP, CRM, and BI tools while ensuring data quality, governance, and compliance.
Data Engineer | 100% Remote
Build and maintain secure ETL/ELT pipelines in Python and AWS to migrate large-scale customer and financial data, ensuring quality, reconciliation, and auditability.
Data Engineer - bilbao
Builds and maintains data pipelines for a life-science project using Azure, Databricks, Spark, Scala, Airflow, Python, and SQL.
Data Engineer - Sectorea
Build and maintain data pipelines for a cybersecurity-focused platform, using Python, SQL, Kafka, and streaming tech to process and analyze large datasets.
Data Engineer
Build and maintain scalable data pipelines on Databricks using PySpark and cloud tech to power investment analytics for a global financial-services firm.
Full-stack Engineer (Python/React) - Q-tech
Build and evolve a global vulnerability-management platform using Python/FastAPI backend and React frontend, processing millions of records daily.
Data Engineer - Remoto
Build and maintain AI-driven data pipelines for anti-money-laundering systems, transforming raw financial data into features that power real-time fraud detection for global banks and fintechs.
Senior Data Platform Engineer | AWS, Spark & DevOps
Designs and maintains modern AWS-based data platforms, building scalable batch/streaming pipelines, optimizing data lakes/warehouses, and automating deployments with DevOps tools like Spark, Airflow, and IaC.
Full-stack Engineer (Python/React)
Build and maintain a global vulnerability-management platform using Python/FastAPI for backend services and React for the frontend, processing millions of records daily.
Senior Backend Spark Developer (Remote from Spain) - UST España & Latam
Build and optimize large-scale Apache Spark data pipelines in Scala/Python, ensuring performance and reliability for a client-facing platform while collaborating across teams.
Manager - Lead AI Engineer
Lead AI Engineer at KPMG UK drives AI-driven audit solutions, collaborating with cross-functional teams to build scalable ML systems (e.g., generative AI, NLP) on Azure/Databricks for enterprise-grade workflows.
Microsoft Fabric Data Architect
Designs enterprise-scale Microsoft Fabric Lakehouse architectures for analytics and AI, using Spark, PySpark, Delta Lake, and Azure.
Python Developer
Builds and maintains Python-based web services using Django/Flask/FastAPI, integrates databases, and follows agile practices in a collaborative, growth-focused team.
2026-7929 Data Engineer-Mid (Night Shift)
Builds and maintains data pipelines and databases for insurance pricing models using SQL, Python, and dimensional modeling to support real-time analytics and business decisions.