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Senior Data Engineer: Build AI-Ready Data Platform
Senior Data Engineer to design and build AI-ready data infrastructure from scratch, including pipelines and core data models for a single source of truth.
Software Engineer (GCP & BigQuery experience) with German
Data Engineer to modernize financial data infrastructure by migrating legacy Teradata systems to Google Cloud (BigQuery), ensuring accurate and reliable global financial reporting.
Data Engineer — GCP & BigQuery for Finance Modernization
Migrate finance data from Teradata to Google Cloud BigQuery and optimize data pipelines for a finance modernization project.
Senior Data Engineer - AI-Driven Data Platforms (Remote)
Design and maintain data pipelines for a travel-tech platform, ensuring high-quality data assets and collaborating with stakeholders to drive business value.
Informatica Data Engineer - ETL & BigQuery | Remote
Designs and maintains ETL pipelines using Informatica tools and works with BigQuery and SQL Server to process and transform data.
Data Engineer: Build Scalable ETL Pipelines on GCP
Designs and builds scalable ETL pipelines on GCP to enable analytics and AI use cases using BigQuery, Dataflow, and Pub/Sub.
GCP Data Engineer — Build Scalable ETL Pipelines
Build and optimize GCP-based ETL/ELT pipelines using BigQuery and Dataflow for enterprise clients in Spain.
Data Engineer/ Analyst- LookML
Designs and manages multi-instance Looker architectures (dev/pre/prod) for a digital transformation team, optimizing LookML/SQL in BigQuery, and ensuring data governance, CI/CD pipelines, and cost-efficient query performance to drive business decisions.
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.
GCP Data Engineer: Cloud Pipelines & Data Governance
Designs and builds GCP-based ETL/ELT pipelines and data governance workflows using BigQuery, Dataflow, Dataproc, Airflow, and Pub/Sub.
Junior Data Engineer – Mobile Apps & Cloud Data Pipelines
Build and maintain cloud data pipelines on GCP and Databricks, using BigQuery, Airflow, dbt, and Dataflow to feed dashboards and experiments.
Senior Data Engineer – Identity/Data Pipelines (Hybrid Spain)
Senior Data Engineer builds and maintains scalable identity data pipelines for media domains using BigQuery, Python, Airflow, and Cloud Storage.
Remoto Data Engineer: Pipelines, BigQuery & GCP
Builds and optimizes ETL/ELT pipelines on GCP, models data in BigQuery, and applies cost-efficient engineering practices for analytics workloads.
Senior Full-Stack Developer: Python & React (Onsite)
Builds full-stack features in React/TypeScript and FastAPI/Python for automotive projects, writes tests, and reviews code with SQL, BigQuery, and GCP.
Senior Full-Stack Developer: Python & React (Hybrid)
Builds and maintains full-stack applications using Python, FastAPI, and React/TypeScript, with REST APIs, BigQuery, and testing frameworks like pytest and Playwright.
Senior Full-Stack Developer: Python & React Expert
Build full-stack solutions in Python and React for automotive and other industries, working across React/TypeScript UIs, FastAPI services, and BigQuery data pipelines.
Cloud DevOps Engineer – GCP, Terraform & Kubernetes
Design and maintain Terraform modules for GCP infrastructure, automate deployments via GitHub Actions, and manage GKE clusters with a focus on security and efficiency.
Backend Developer (Go) ID48361
Builds cloud-native Go microservices on GCP, migrating a legacy PHP monolith to Cloud SQL/Spanner while owning Terraform IaC and ensuring high-performance deployments to Cloud Run/GKE.
Desarrollador Backend Node.js, REST APIs & Cloud – Solar
Backend developer building REST APIs and microservices in Node.js, using Kubernetes, Redis, and BigQuery to maintain scalable systems for a solar-energy hardware company.
Python developer con BigQuery remote
Backend developer building Python services on Google Cloud, focusing on BigQuery data modeling, query optimization, and data pipelines.