Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
A permanent remote Data Engineer role hired through FRG Technology Consulting, focused on building data solutions using Azure products. Day to day involves working extensively with Azure services and collaborating with cross-functional teams; Java 8 experience is part of the profile.
Data Engineer at Capitole in Barcelona (hybrid) building and maintaining ETL/ELT pipelines in a Lakehouse environment using Databricks (Unity Catalog) and Spark. Works with architects and analysts to ensure data quality, model integrity, governance, and monitoring while delivering on the roadmap.
Data Engineer at Freudenberg (Sealing Technologies) in Málaga who designs, builds, and optimizes scalable data pipelines and database solutions, transforms raw data into insights, and ensures data quality while collaborating with ML engineers, data scientists, and analysts. Core stack: Python, SQL, Databricks, Azure Data Factory, Microsoft Fabric, Terraform, and Azure cloud.
Designs, builds, and maintains scalable data pipelines and infrastructure (ETL/ELT, warehouses, data lakes) within Roche's DataOne ecosystem, turning security telemetry into analytics-ready data for predictive modeling and risk scoring. Core stack: Python, SQL, Snowflake, dbt, Talend, GitLab, Tableau, and ThoughtSpot.
Bosonit is hiring a Senior Big Data Engineer in Marbella (Málaga, Spain) to build big data pipelines and data architecture. The role centers on Apache Spark, Scala/Python, Azure Databricks and Hive, with technical leadership and CI/CD/DevOps practices.
Data Engineer in Madrid (on-site) designing and maintaining cloud data pipelines on Snowflake and AWS for a growing tech company. Day-to-day work centers on SQL, Python, dbt, Airflow and DataOps/CI-CD practices, turning data into business value, with a permanent contract and flexible hours.
Senior Data Engineer at Capitole who designs and operates the Databricks/Delta Lake data platform (Medallion architecture) feeding a dynamic pricing system and BI. Day to day: building and orchestrating ingestion, modeling and pipelines, owning data governance, and collaborating with ML (feature store) and analysts on KPIs.
Senior Data Engineer at a growing tech company combining strategic consulting and applied AI, based in Madrid (hybrid, 3 days onsite). Leads data architecture: builds automated ETL/ELT pipelines, manages cloud data lakes/warehouses, prepares datasets for AI teams, and mentors juniors. Stack: Python, Airflow/Prefect/n8n, SQL, AWS/GCP/Azure, dbt/Spark/Kafka.
A data engineer with Databricks experience will migrate existing data flows from Stratio to Databricks: building data pipelines, re-implementing current flows and optimizing performance. The role is 100% remote (Spain-based posting), offers immediate start, and involves collaborating with a multidisciplinary team.
An AI data engineer who develops and supports ETL/ELT data pipelines on AWS, integrates data sources, and prepares data for AI workflows such as semantic search and RAG, using Greenplum, graph queries, Python, and SQL. Hybrid role based in Barcelona.
Data Engineer at Axpe Consulting building data pipelines in cloud environments using Databricks, PySpark and lakehouse architecture for large data volumes. Offered as a permanent contract with a 100% remote-from-Spain modality; ideal candidates bring Python, SQL and Spark experience.
Data Engineer at Axpe Consulting working on big-data projects: building ETL/ELT pipelines with Databricks, PySpark, Python and SQL, plus cloud (AWS/Azure/GCP) and Lakehouse environments. Permanent contract, 100% remote from Spain.
Design and build a Microsoft Fabric Medallion architecture from scratch for a logistics-sector client, developing robust pipelines for data ingestion, cleaning, and transformation. Day-to-day work centers on Spark, Python/PySpark, and SQL to model BI-oriented data and process large volumes.
Capitole, an IT consultancy, is hiring an Azure Data Engineer with strong Python and Django skills for an international cloud data project. Day to day, the engineer adapts and migrates existing capabilities to a new Azure backend without rebuilding from scratch, with MongoDB, REST APIs, pandas, NumPy, and Azure tools valued.
Data Engineer at Roche designing and maintaining scalable ETL/ELT data pipelines within the DataOne data mesh, transforming security telemetry for predictive modeling and enabling executive-level insights with tools like Snowflake and Tableau.
Hiberus is hiring a Data Engineer with 3+ years of cloud data experience to design and maintain data pipelines, optimize processes, and turn data into business value using Snowflake and AWS, within an agile, multidisciplinary team.
Senior AI & Data Engineer at Camlin Group in Cádiz, Spain (hybrid, 3 days on-site) designing and delivering AI and data products for the energy sector — predictive maintenance, anomaly detection, asset monitoring, and energy forecasting — using Python, Databricks, MLflow, and cloud-native data platforms.
Senior data engineer on PepsiCo's Global Digital Commerce team, owning end-to-end data pipeline development (modeling, testing, monitoring, production debugging) for a global data product. Core stack: Python, PySpark, SQL, Airflow, DBT, Hadoop (Hive/Impala), AWS, Azure, and Snowflake.
Senior Data Engineer at Roche in Madrid, building and optimizing the data infrastructure behind pharma operations — designing scalable batch/real-time pipelines and FAIR data products in platforms like Snowflake, mentoring junior engineers, and ensuring data governance and regulatory compliance. Core stack includes Snowflake, Ataccama, and Monte Carlo.
Bosonit is hiring a Senior Big Data Engineer to design, develop, and optimize large-scale data pipelines using Spark, SQL, Apache Hive, and Azure Databricks within CI/CD environments. The role values Python/Scala and distributed development experience, plus adopting emerging AI technologies for data engineering automation.
We couldn't check your fit for this role — add a CV to your profile to see it next time.