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Data Engineer at AXPE Consulting's Data & Analytics practice, building and evolving large-scale data platforms, ETL/ELT pipelines and Data Lake / Lakehouse architectures using Databricks, Spark/PySpark, Python, SQL and cloud technologies. 100% remote from Spain, permanent contract, €38k–50k gross per year.
Senior data engineer designing, building, and optimizing Lakehouse solutions on Azure Databricks — batch and streaming pipelines with Apache Spark, PySpark, SQL, and Delta Lake using Medallion architecture — with data quality, performance, and governance focus. Hybrid/remote in Spain, ~€45k gross/year; Databricks Data Engineer Professional certification is mandatory.
Data Engineer at DXC Technology (FDS) designing, building and maintaining scalable data platforms, ETL/ELT pipelines and reliable analytical datasets for a global food-industry client. Core stack: advanced SQL, Python and cloud data platforms (Snowflake, Azure, AWS), plus BI support with Power BI/Tableau.
Data Engineer developing, evolving and maintaining data platforms and ETL/ELT pipelines for an international financial-sector project handling large data volumes, using Scala, Apache Spark and Airflow. Hybrid role in Valencia, Spain; professional-level English and French are both required.
Senior data engineer to design and operate the Databricks-based data platform (Medallion architecture) powering a dynamic pricing and BI system for high-volume retail in Spain. Day to day: ingest ERP/POS/e-commerce sources via Azure Data Factory, transform with PySpark/SQL, build Kimball dimensional models and a Gold-layer feature store for ML.
Hands-on Senior Data Engineer on an Intellias delivery team, building production Databricks lakehouse pipelines (Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines, Auto Loader) for a large-scale enterprise data platform migration serving a global asset-management client. Remote from Spain under an indefinite Spanish employment contract.
Bosonit, a Spanish tech consultancy specializing in data and AI transformation, is hiring a Senior Big Data Engineer for a 100% remote role. Day to day, the engineer designs, builds, and optimizes Big Data pipelines and distributed processing using Apache Spark (Scala/Python), Azure Databricks, Hive, and SQL, plus DevOps tools like Git, GitHub, Sonar, and Nexus.
Mimacom is hiring a Senior Data Engineer (remote from anywhere in Spain) to design, build, and optimize scalable cloud data platforms and pipelines that power analytics and AI, working hands-on with Databricks, Python, PySpark, and SQL alongside data scientists and business stakeholders.
Senior Data Engineer building ELT pipelines with dbt on Snowflake for a financial services firm's data platform, based in Madrid with a hybrid model. Day to day: designing data products for fund accounting, NAV and regulatory reporting, defining data contracts and monitoring, and building infrastructure as code with Terraform.
Design and maintain scalable data pipelines (ETL/ELT), implementing ingestion and transformation processes using SQL, Python, Scala, or Java. You will ensure data quality and performance optimization while working with orchestration tools like Airflow or NiFi in a hybrid Barcelona-based role.
A Senior Data Engineer designs, builds, and maintains scalable cloud data ingestion and transformation pipelines supporting analytics and AI initiatives, collaborating with data scientists and business stakeholders. Core stack: Databricks, Python, PySpark, SQL, with Big Data environments, working remotely from Spain (offices in Madrid, Valencia, Barcelona, Gijón).
Data Engineer developing, evolving and maintaining data platforms and ETL/ELT pipelines for an international project in the financial sector, handling large data volumes and complex business rules. Core stack: Scala, Apache Spark, Airflow, cloud object storage and CI/CD; professional English and French are required.
Data Engineer / ETL Engineer at consultancy Capitole, working 100% remotely (occasional visits to the Madrid office) to analyze existing SSIS processes and migrate/modernize them to Azure Data Factory. Core stack: SSIS, Azure Data Factory, and SQL, with ETL/ELT design, data integration, and migration work.
Data Engineer at Axpe Consulting's Data & Analytics practice, building and evolving large-scale data platforms, ETL/ELT pipelines and Data Lake/Lakehouse architectures for big clients including financial institutions. Core stack: Databricks, Spark/PySpark, Python and SQL; 100% remote from Spain.
Data engineer building and maintaining ETL/ELT pipelines, integrating databases, APIs and external sources while optimizing load processes, query performance and data quality. Core stack: advanced SQL, Python, data modeling, data warehouse/lake, and a cloud platform (Azure, AWS or GCP). Permanent contract on a stable project, remote from Spain.
Data Engineer at Indra Group supporting a strategic national/international cyberdefense project in Spain. Day to day: designing and maintaining ETL/ELT data pipelines, ingesting and transforming large data volumes, orchestrating flows with Airflow/NiFi/Prefect, and managing relational and NoSQL databases using Python/Scala/Java and advanced SQL.
Hybrid Data Engineer role for a stable international project in the financial sector, building and maintaining data platforms and ETL/ELT pipelines that handle large data volumes and complex business rules. Core stack: Scala, Apache Spark, Airflow, cloud object storage, and CI/CD, with professional-level English and French required.
Data Engineer at UST (100% remote within Spain) who designs and builds scalable ETL/ELT pipelines for large-scale enterprise data migrations involving customer, financial and transactional data. Core stack: SQL, Python, and AWS, with a focus on data quality, reconciliation, validation controls, and secure data handling.
Data Engineer who analyzes existing SSIS-based ETL processes and migrates/modernizes them to Azure Data Factory, designing and maintaining ETL/ELT pipelines with SQL on a client data-platform transformation project. Fully remote with rare trips to the Madrid office; B2/C1 English required.
Senior Data Engineer at Keepler (part of Accenture) building cloud data platforms on AWS for clients: developing data ingestion and batch/streaming pipelines with Python, Spark/PySpark, Glue, EMR, Athena and Redshift, plus pipeline orchestration. Snowflake, dbt and IaC are valued. Hybrid/remote with flexible office attendance (offices in Madrid; posting listed for Valencia, Spain).
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