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Remote Azure Data Engineer — ADF, PySpark, CI/CD
Design and build ETL pipelines in Azure Data Factory using Python and PySpark to migrate and transform data for cloud platforms.
Data Engineer: AI-Driven Data & Automation Specialist
Designs, builds, and maintains scalable data pipelines and automation solutions with a focus on AI, integrating ERP, databases, and APIs to transform and analyze company data.
Senior / Staff data Engineer (Agentic AI)
Designs and optimizes scalable data pipelines (ETL/ELT) for structured/unstructured data (sensor/image) to support AI/advanced analytics, collaborating with data scientists and engineering teams. Focuses on agentic AI orchestration and digitalization initiatives.
Senior Data Engineer — Python + Snowflake/Databricks
Builds and maintains large-scale, production data pipelines in AWS using Python, Snowflake/Databricks, and ETL/ELT to support a leading insurance company’s data infrastructure.
Azure Data Engineer - Inglés Avanzado
Designs, builds, and maintains Azure Data Factory ETL pipelines, migrating data while ensuring quality and business value. Collaborates with cross-functional teams to advise on data migration strategies and technical solutions.
Remote Data Engineer - ServiceNow & Reporting (Banking)
Builds and maintains banking data pipelines and reports using ServiceNow and ETL tools.
Azure Data Engineer/Remoto ESPAÑA(H/M/X)
The Azure Data Engineer will design and develop ETL processes and manage data migrations to the Azure cloud platform. The role requires 3-6 years of experience and proficiency in Python, PySpark, and Azure Data Factory.
Data Engineer Junior
Builds and maintains ETL pipelines with Pentaho to integrate, transform, and validate data for a Madrid-based engineering team.
Senior Data Engineer
Senior Data Engineer builds and maintains large-scale AWS data pipelines for an insurance client using Python, Snowflake/Databricks, and ETL/ELT workflows.
Data Engineer | 100% Remote
The Data Engineer will design and build scalable ETL/ELT pipelines for large-scale customer and financial data migrations using SQL, Python, and AWS. The role focuses on ensuring data quality, reconciliation, and security while collaborating with stakeholders to deliver enterprise-level data solutions.
AWS Data Engineer
Builds and maintains data pipelines, ETL/ELT processes, and data models on AWS (S3, Redshift) to ingest, transform, and analyze structured/unstructured data, collaborating with cross-functional teams to ensure data quality and operational efficiency.
Data Engineer (Palantir)
Keepler is seeking a Data Engineer to implement data models, orchestration flows, and governance strategies using PySpark and Palantir Foundry. The role requires on-site work at client offices and involves managing the full data lifecycle from ingestion to final application delivery.
Data Engineer
Build and optimize large-scale data pipelines on AWS using PySpark, Kafka, and Spark Streaming to process and transform high-volume datasets.
AWS Data Engineer - Hybrid, Data Pipelines & Redshift
Builds and maintains data pipelines for ingestion/transformation using AWS, S3, Redshift, and tools like Talend, PySpark, and SQL to create datamarts and BI solutions.
Senior Data Engineer Consultant
Senior Data Engineer Consultant designing and delivering advanced analytics and BI solutions for UK clients, primarily using the Microsoft BI stack (SQL Server, SSIS, SSRS, SSAS), Power BI, Azure Data Factory, and Python.
Senior Data & AI Engineer (Full-Stack DNA Specialist) - madrid
Lead end-to-end AI and data projects: architect scalable pipelines, productionize ML/GenAI models, and implement MLOps for LLMs and predictive systems.
AI Engineer
Build and deploy LLM-powered apps, RAG pipelines, and multi-agent systems on AWS using Python, LangChain/LangGraph, and FastAPI.
Backend Developer (C# - SSIS) - (hybrid, 36-40k) - SQUAD Technology Solutions
Build and maintain backend services in C#/.NET for an international client, using SSIS/ETL pipelines and SQL Server, with occasional Angular work.
Data Engineering Intern
Build and maintain simple data pipelines, validate data quality, and create basic reports using SQL, Python, Azure Data Lake, and Databricks for a fintech platform.