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.
Senior Data Engineer designing and maintaining scalable batch/streaming data pipelines on AWS, using Python, Spark, Glue, Athena, and Terraform for a data-solutions tech company.
Designs and builds scalable data pipelines and ETL processes using Python, Airflow, and SQL to ingest, transform, and validate data for downstream systems.
Work on scalable data solutions, cloud architectures, and Generative AI, focusing on transforming data into business value and operating in production environments.
AWS Data Engineer designing and implementing integration solutions, defining technical architectures, and coordinating teams for a banking-sector project, working 100% remotely with occasional on-site presence.
Senior Data Engineer focused on LLM & RAG architectures for a major telecom group, designing scalable data pipelines, optimizing vector databases and RAG solutions, and building AI services with FastAPI using Python, SQL, Spark/PySpark on Azure/Databricks.
Senior Data Engineer building a metadata-driven automation engine for Raw Data Vault 2.0, including automatic generation of Data Vault structures, schema evolution detection, and reusable framework components using advanced SQL.
Builds and maintains ETL pipelines with Oracle Data Integrator (ODI) and develops OBIEE dashboards for European public organizations, ensuring data consistency and supporting end-user analysis.
Biomedical Data Engineer at IdiPAZ Health Research Institute in Madrid, managing genomic and clinical data (ETL, OMOP/HPO annotation, relational databases) using Python and R in a full-time, permanent research role.
Designs scalable data models and pipelines for a multinational food service company, ensuring data availability for analytics and AI solutions using Databricks and Azure.
The Data Engineer builds scalable data pipelines and models to enable analytics and AI solutions, optimizing the Data Lake and ensuring data availability for business teams using Databricks and Azure tools.
Develop and maintain advanced data pipelines and infrastructure on Microsoft Azure and Databricks, building ETL processes and data vaults for Allianz Germany's financial application suite while migrating from legacy SAS/Oracle systems.
Diseña e implementa pipelines de datos escalables en Azure y Microsoft Fabric, procesando grandes volúmenes con PySpark/Scala y optimizando consultas en KQL y SQL para generar insights críticos en entornos aeronáuticos.
Data Engineer building and optimizing large-scale data pipelines using Scala/Python/PySpark on Spark and Databricks, designing Data Lakehouse architectures primarily on Azure Cloud for a consulting firm serving diverse sectors.
Data Engineer building AWS-based data solutions for client projects, focusing on data ingestion, batch/streaming processing, and pipeline orchestration using Python, Spark/PySpark, SQL, Airflow, and a broad set of AWS services.
Builds scalable data pipelines and models to ingest, transform, and optimize data for analytics/BI/IA use, ensuring data quality, security, and performance in a multinational food services company’s digital transformation.
Designs and maintains scalable AWS-based data pipelines (batch/streaming) while translating business needs into efficient architectures, ensuring data quality, observability, and cost optimization in a tech-driven company.
Senior Data Engineer designing scalable data pipelines, modernizing LLM-based architectures, and enabling advanced analytics for a telecom client. Focuses on data quality, governance, and integrating AI/Generative AI solutions like RAG and multi-agent workflows.
Data Engineer designing and maintaining scalable data pipelines on Google Cloud Platform, using Python, BigQuery, and GCP services like Dataflow, Dataproc, and Pub/Sub in a hybrid setup based in Madrid.
This Data Engineer role involves designing and maintaining scalable data pipelines and processing solutions within the Google Cloud Platform ecosystem. The position requires advanced Python skills and experience with GCP tools to build robust, high-quality data architectures.
Mid/Senior Backend/Data Engineer working fully remotely on an international data management platform, building and evolving Python/Django backend services, REST APIs, and data processing pipelines using MongoDB, pandas, and NumPy.
We couldn't check your fit for this role — add a CV to your profile to see it next time.