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Senior AI Engineer builds and deploys consumer-facing AI systems on GCP: ML pipelines, LLMs, RAG, and recommendation engines using Python, BigQuery, Vertex AI, and vector search.
Senior QA engineer builds and maintains automated tests for cloud-native ETL pipelines, ensuring data quality and reliability across BigQuery, Airflow, and GCP systems.
Analytics Engineer builds and maintains Google Analytics 4, Tag Manager, and data pipelines for marketing campaigns, ensuring accurate tracking and reporting.
Build and deploy AI solutions on GCP for a global consumer-goods and retail company, using Python, BigQuery, Vertex AI, and LLMs to power customer analytics, personalization, and marketing systems.
Build and maintain scalable data products using SQL, dbt, and BigQuery, integrating AI to deliver analytics solutions for enterprise clients and internal teams.
Builds AI-driven data pipelines and predictive models for consumer CRM, loyalty, and e-commerce using Python, SQL, BigQuery, and Vertex AI.
Designs and maintains test strategies for an automotive project, integrates tests into CI/CD pipelines, and validates data in BigQuery using PyTest, Vitest/Jest, and Playwright/Cypress.
Designs and manages Looker architectures in complex, multi-instance environments using LookML, SQL (BigQuery), and CI/CD pipelines while enforcing data governance and modeling standards.
Designs and builds scalable data models in dbt and BigQuery to power reporting, experiments, and business decisions while mentoring peers and ensuring data quality.
Oversee a remote data team building and scaling GCP and BigQuery pipelines to power Airalo’s eSIM platform and growth strategy.
QA Engineer ensures data accuracy and reliability by designing automated tests, validating data pipelines with SQL/BigQuery, and improving data models for PrimeIT España’s projects.
Lead a small team of data engineers while building and optimizing BigQuery pipelines and dbt models for a healthcare analytics platform.
Architect and operate hybrid cloud data infrastructure (AWS + GCP) for a fintech client, building scalable data lakes, pipelines, and ensuring data quality and cost optimization.
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.
Lead a remote team of data engineers to build and scale Airalo’s cloud data platform (GCP/BigQuery) and pipelines, turning raw travel data into actionable insights for product and growth decisions.
Junior GCP Data/AI Engineer builds scalable data pipelines and ML models on Google Cloud, using Python, BigQuery, and Dataflow under senior guidance.
Build and maintain a customer identity data pipeline for a large European ecommerce platform using BigQuery, Python, Airflow, and Splink to unify customer records across multiple verticals.
Lead the design and optimization of data pipelines and AI platforms on GCP, using BigQuery, Dataform, and Cloud Run to build scalable ELT workflows and maintain high-performance data products.
Design and maintain a hybrid cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, pipelines, IAM, and observability to power analytics and AI transformation.
Build and scale data-driven and generative AI solutions for global clients in banking, pharma, and public sector using cloud platforms, Spark, and Azure OpenAI.
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