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Data Engineer builds and maintains data pipelines and microservices on OpenShift, using SQL to process and integrate data for global projects.
Build real-time data pipelines and AI solutions for clients using Python and distributed systems while collaborating with cross-functional teams.
Build and maintain ETL pipelines in Python and Airflow to ensure clean, traceable data flows for analytics and decision-making.
Designs and builds real-time data pipelines and lakehouse architectures using Hadoop, Kafka, Python, and Java.
Senior Data Engineer builds and optimizes LLM and RAG pipelines for a telecom-focused data ecosystem using SQL and Big Data architectures.
Designs and automates scalable data pipelines for a biotech company, building a high-performance lakehouse to turn genomic and field data into FAIR assets for breeders and scientists.
Designs and builds scalable data pipelines using Python, Apache Spark, and cloud platforms (Azure/AWS) for a Spanish tech consultancy.
Build and optimize Snowflake-based data pipelines and analytical models using advanced SQL and dbt for a Madrid-based client.
Senior Data Engineer builds and scales data pipelines from Postgres/MongoDB to analytics warehouse, shapes semantic layers, and mentors BI/Data teams for a high-traffic media company.
Build and maintain scalable data pipelines for a major bank using Java, Spark, and cloud-based Hadoop tools like Cloudera.
Build and maintain Rover’s data pipelines and analytics infrastructure using Python, DBT, Dagster, and Redshift to ensure reliable, testable data for the business.
Designs and implements scalable data pipelines using Scala, Apache Spark, and Databricks to process and integrate financial data in cloud environments.
Build and maintain data pipelines in Python and Airflow to ensure BigQuery data remains accurate and traceable for a European scale-up.
Design and build scalable Snowflake-based data pipelines and warehouses, optimizing ELT workflows and collaborating with business teams to deliver reliable, high-performance analytics solutions.
Build and optimize data pipelines, AI platforms, and ad-tech integrations for enterprise clients, using Python, Databricks, AWS, and Dataiku in hybrid roles across Madrid, Malaga, and Barcelona.
Build and maintain cloud-based data platforms on AWS using PySpark, Python, and dbt to ingest, process, and orchestrate batch and streaming pipelines for clients.
Build and maintain cloud-based data pipelines and analytics solutions on AWS using Python and SQL, integrating AI models into business-facing data systems.
Build Python tools and AWS cloud-native apps to automate energy trading workflows and data pipelines for a large European energy portfolio.
Build and optimize Snowflake data pipelines and dbt models for analytics, applying ELT, Kimball modeling, and CI/CD practices in a cloud environment.
Builds and maintains ETL pipelines with Pentaho to move and transform data, then creates BI reports and dashboards for business users.
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