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Hay plataformas de datos que solo necesitan mantenimiento. Y hay otras que necesitan una persona capaz de ordenar su evolución, convertir buenas prácticas en una forma común de trabajar y ayudar a un equipo a tomar…
Junior Data Engineer joining HP SCDS's 3D Data team to build and maintain the data pipelines behind HP's global 3D printing data products, handling ingestion, transformation, validation, and product support. Core stack is SQL with relational and non-relational databases (PostgreSQL, MongoDB), with Python and data lake platforms as nice-to-haves. Hybrid work in León, Spain.
Senior Data Engineer designing and optimizing scalable data pipelines and cloud architectures. Core tech includes Apache Spark, Databricks, Azure Data Factory, MongoDB, and Airflow within an Agile/DevOps environment for a global consultancy.
UST is hiring a Data Engineer Analyst (100% remote from Spain) to join a Markets Datahub team focused on Market Risk in banking. The role centers on defining, automating, validating and coordinating Big Data processes (SQL, Control-M, Job as Code, Spark/Scala, Hive) rather than hands-on Spark/Scala development.
Junior Data Engineer at Dragados (ACS Group's construction division) joining the internal development team to help build data warehouses, ETL processes, and data integration, and to prepare data for analytics and machine learning projects alongside senior engineers. Stack centers on AWS, Python and SQL; full-time on-site in Spain, no prior experience required.
Data Engineer specialized in Databricks at Deloitte's AI & Data practice (Engineering Center), working on national and international client projects: building and optimizing big-data ETL pipelines with Databricks (Unity Catalog, Workflows, Delta Live Tables, Asset Bundles), PySpark/SparkSQL, Python and SQL on AWS/Azure, in a hybrid setup from Spanish offices.
Senior Data Engineer at hiberus in Valencia designing, building, and maintaining cloud data pipelines and ETL/ELT processes on a modern data platform, modeling data in Snowflake, and evolving AWS-based architecture alongside analysts and data scientists. Core stack: SQL, Python, Snowflake, AWS, dbt, Airflow.
Syntonize, a Madrid-based tech boutique, is hiring a Senior Data Engineer to design, build and maintain robust, scalable data pipelines on AWS or Azure, process large data volumes with PySpark, and automate ingestion/transformation with Python. Familiarity with the ML project lifecycle is a plus; hybrid work with mostly remote days.
Data-focused software engineer at Asistencia Dental Especializada (a dental and pet insurance group), working 100% remotely from Spain: building ETL processes, Power BI dashboards and the corporate data warehouse with SQL Server, MySQL and Elasticsearch, plus automating with Power Automate while helping the CIO evolve internal web apps and manage tech vendors.
Senior Data Engineer at Keepler (part of Accenture), working onsite in Madrid at client offices. Day to day: building and optimizing PySpark pipelines, ETL/ELT flows, dimensional data modeling (Bronze/Silver/Gold) and data governance, with openness to learn Palantir Foundry and deliver end-to-end from ingestion to client-facing front-ends.
Data engineer at a Microsoft-focused Data & AI consultancy, designing enterprise-scale Microsoft Fabric and Azure data solutions — building pipelines with Databricks, Data Factory, PySpark/SQL and delivering client-facing Agile projects. ~100% remote within Spain with on-site client collaboration.
Data Engineer with 2-3 years of experience joining a technical team on a project for a leading retail client, working with large volumes of operational data, automating processes, and building monitoring and governance for a BI platform. Core stack: SQL/T-SQL, Python, PySpark, Snowflake, Power BI, Microsoft Fabric, Azure, REST APIs, Git and Azure DevOps.
Plexus Tech is hiring a Data Engineer in Spain to design, build, and optimize scalable data platforms on AWS — developing ETL/ELT pipelines with DBT, querying large datasets with Amazon Athena, and building analytical data models. Requires 2+ years as a Data Engineer with hands-on S3, Glue, and Athena experience.
Data Engineer / Analytics Engineer at consultancy Bismart, placed on a strategic client data-platform project in Sant Cugat del Vallès (Barcelona, on-site). Day to day: building data models and ELT transformation pipelines with dbt, writing complex SQL, plus testing, documentation, and query optimization.
Data engineer on an IT Security & Compliance team, building and maintaining data pipelines, tables, views, and transformations on a unified data platform, plus monitoring, data-quality checks, and incident resolution. Core stack is Azure Databricks (PySpark, Unity Catalog), Python, SQL, Terraform, and Azure DevOps CI/CD.
Designs, builds, and maintains scalable automated data pipelines in Python and SQL that integrate diverse data sources into the Snowflake Data Cloud, plus API integrations, testing/monitoring frameworks, and performance/security tuning. Requires 3+ years of data engineering experience with tools like Spark, Kafka, and Airflow at TCS Spain.
Data Engineer for a renewable energy company, designing and operating scalable data pipelines using Azure Databricks. Key tasks include processing sensor data from wind turbines using Scala, Python, and Spark, while acting as a technical lead in an agile environment.
Data Engineer Analyst focused on Market Risk for the Scalian group: designs and validates ETL processes and data models, automates job scheduling as code, and coordinates and supervises third-party teams in a banking context. Day-to-day revolves around advanced SQL and Control-M; 100% remote.
Lead the evolution of data platforms toward a modern Data Lakehouse architecture using Apache Spark, Airflow, and Iceberg. This 100% remote role involves designing robust pipelines, orchestrating complex processes, and providing technical leadership and client communication.
A Data/ETL Engineer working remotely from Spain on a stable data platform transformation project: analyzing existing SSIS processes and redesigning, developing, and maintaining ETL/ELT pipelines as they migrate to Azure Data Factory. Core stack is SSIS, Azure Data Factory, and SQL.
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