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Data Engineer – Vulnerability Data Platform (Hybrid)
Builds and maintains a distributed data pipeline that cleans, transforms, and serves vulnerability and exposure data in near real time using PySpark, Airflow, dbt, and AWS.
Data Engineer — AI Data Platform, Scale & Remote
Build and scale a secure, high-performance data platform using Airflow, dbt, Snowflake, and cloud tools to power AI products and analytics.
Data Engineer - Marketing & Communication Domain
Build and maintain large-scale data pipelines for a top European loyalty app, enabling AI-driven customer segmentation and personalized marketing campaigns.
Data Engineer (m/f/d)
Builds and maintains scalable data pipelines and lakehouse architectures to feed BI, analytics, and AI workloads using SQL, Python, and cloud platforms.
Data Engineer - BI & Data Infra Lead (Remote)
Lead the design and optimization of iRESTORE’s BI stack, including BigQuery, Looker Studio, and dbt pipelines, to enable data-driven decisions across marketing, operations, and logistics.
Prácticas Data Architect | Data Engineer
Build and maintain data pipelines, clean and transform datasets, and integrate data flows into backend services and dashboards using Python, SQL, and orchestration tools.
Principal Data Engineer / Data Lead
Lead the architecture and delivery of large-scale healthcare data pipelines and platforms for Roche’s digital cervical screening solution, using Python, SQL, Spark, and cloud data tools.
Hybrid Analytics Engineer: Data Pipelines & Insights
Build and optimize data pipelines for an AI-driven orthodontic clinic network, transforming raw data into insights with dbt, SQL, and Python while collaborating with product and ML teams.
Data Engineer Remoto y Horario Flexible - Pipelines en la Nube
Build and maintain cloud-based data pipelines using ETL/ELT, SQL, Python, dbt, Airflow, and Spark in a product-focused team.
Data Engineer - Marketing & Communication
Build and maintain large-scale data pipelines for a top European loyalty app, enabling AI-driven customer segmentation and personalized marketing campaigns.
Data Engineer – Clinical Trials
Build and maintain scalable data pipelines and ML systems for clinical trials, turning raw data into production-grade solutions that support trial design, patient recruitment, and real-time monitoring.
Remote Data Engineer Intern: Build Scalable Pipelines
Build and maintain scalable data pipelines in Google Cloud using Airflow, dbt, BigQuery, Pub/Sub, and Snowflake to enable reliable data ingestion, transformation, and analytics.
Data Engineer - RHE - Data and Platform Engineer
Build and optimize enterprise-scale data pipelines and cloud-native platforms to power Roche’s AI and analytics needs, using Python, SQL, Linux, and ETL tools like Airflow and PySpark.
Data Engineer - RHE - Data and Platform Engineer
Build and optimize enterprise-scale data pipelines and cloud-native platforms to power Roche’s AI and analytics needs, using Python, SQL, ETL tools, and cloud services.
Data Engineer (French Speaking)
Build and maintain AI-driven data pipelines for financial crime detection at a fintech company using Spark, Python, and big-data tools.
Junior Data Engineer - Data Flow & Architecture (Remote)
Build and maintain ETL pipelines in Python and Airflow to ensure clean, traceable data flows for analytics and decision-making.
Data Engineer (ETL/ Ingestión)
Design and build scalable ETL pipelines in Python and Airflow to ingest and model automotive production data in Snowflake, delivering KPIs for a cloud-based factory platform.
Junior Data Engineer: Data Flow & Architecture
Build and maintain data pipelines in Python and Airflow to ensure BigQuery data remains accurate and traceable for a European scale-up.
Data Engineer (Snowflake & dbt)
Build and optimize Snowflake data pipelines and dbt models for analytics, applying ELT, Kimball modeling, and CI/CD practices in a cloud environment.
Data Engineer. Sector Defensa
Build and maintain robust data pipelines for a cyber-defense project, ensuring high-quality data ingestion, transformation, and delivery using ETL/ELT tools and big-data tech.