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Build and run end-to-end data pipelines for enterprise clients, designing ETL workflows, cloud data models, and dashboards while mentoring junior engineers.
Senior Data Engineer builds and scales data pipelines and warehouses to power analytics products for restaurants using Python, SQL, dbt, Airflow, and cloud platforms.
Build and maintain scalable data pipelines and a self-service data platform using Snowflake, Airflow, and AWS, enabling teams to produce and consume trusted data products.
Build and maintain scalable data pipelines and AI features for a hotel-tech platform, using Python, GCP, BigQuery, and Kafka.
Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for AI-driven fintech analytics and RAG systems.
Senior data engineer building and maintaining ETL pipelines, data warehouses, and analytics models using Airflow, PostgreSQL, Azure, and GCP for a Valencia-based agency.
Build and maintain cloud-based data pipelines and models for marketing analytics, enabling 1:1 retargeting and CRM for global brands using Spark, Python, and GCP/AWS/Azure.
Build and maintain scalable data pipelines and infrastructure using Databricks, Spark, ClickHouse, and Kafka to power real-time analytics and ML for mobile app monetization.
Build and own the data platform that powers AI model compression and quantum-inspired optimization products, designing ETL pipelines, lakehouse architectures, and governance workflows in Python/SQL on cloud platforms.
Senior Data Engineer builds and scales a GCP/BigQuery data warehouse for an online education company, integrating diverse sources into a unified analytics model.
Design, build, and maintain scalable data pipelines and architectures using Python, SQL, Spark, and cloud platforms to enable analytics and data-driven decisions.
Build and maintain high-performance data pipelines for a real-time ad-tech platform, enabling ML models with clean, scalable data while working in a fast-paced engineering team.
Build and own scalable data platforms and ETL pipelines for AI/ML and quantum-inspired optimization products, ensuring clean, versioned, and accessible datasets for analytics and AI workflows.
Build and maintain data pipelines using Spark, PySpark, and AWS services to process batch and real-time data for clients.
Lead Data Engineer defines data processes, ensures end-to-end traceability, and bridges business needs with technical teams in a banking client, using Airflow, PySpark, Kafka, and AWS.
Design and maintain Snowflake-based data pipelines and warehouses that feed credit risk models, analytics, and reporting for a global distributor’s credit function.
Build and maintain scalable cloud data pipelines for a global travel platform, using AWS, Kafka, Spark, and Scala to process billions of daily events.
Build and maintain scalable data pipelines and production-grade ML systems for clinical trials, pharmacovigilance, and drug manufacturing at a global pharma company.
Designs and builds scalable data pipelines and cloud architectures on Google Cloud Platform, ensuring high-quality data for analytics and AI workloads.
Build and maintain scalable data pipelines and platforms using Spark, Scala, Kafka, and cloud tech to enable analytics and decision-making across BNP Paribas.
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