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Data Engineer (Analytics) con inglés
Builds and maintains analytical data models with dbt, partners with MicroStrategy for reporting, and ensures data quality and documentation in a hybrid role.
Data Engineer – Vulnerability Data Platform (Hybrid)
Build and maintain a distributed data pipeline for a vulnerability management platform, processing large datasets in near real-time using PySpark, Airflow, dbt, and AWS.
Cloud Data Engineer: AWS & Snowflake Pipelines
Designs and maintains AWS-based ETL/ELT pipelines, optimizes Snowflake data models, and builds Airflow workflows to deliver trusted datasets for analytics and BI.
Hybrid Analytics Engineer: Data Pipelines & Insights
Build and optimize data pipelines with dbt, SQL, and Python to deliver AI-driven insights for an orthodontic clinic network.
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 flexible, autonomous role.
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 (Madrid/Barcelona)
Build and maintain scalable data pipelines in Databricks and dbt, automate infrastructure with Terraform and Kubernetes, and set up CI/CD using Azure DevOps for cross-functional teams.
Senior Data Engineer
Senior Data Engineer builds and scales data pipelines and warehouses to power analytics products for restaurants using Python, SQL, dbt, Airflow, and cloud platforms.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud-based data pipelines and models for CRM and retargeting, using Spark, Python, and GCP/AWS/Azure to ensure clean, high-quality data for analytics.
Data Engineer – Data Mesh
Design and build a scalable Data Mesh architecture, defining data contracts and self-serve infrastructure while collaborating with domain teams to implement decentralized data ownership.
Senior Data Engineer: Cloud Pipelines & ML
Build and maintain cloud data pipelines and ML solutions using Python, SQL, and dbt on Google Cloud, AWS, and Azure.
Data Engineer: Build Pipelines, AI & Dashboards (Remote)
Designs data pipelines, models NoSQL data in MongoDB, and builds dashboards with Metabase for a web products and AI team using Node.js back-end.
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.
AWS Data Engineer (DBT) – Cloud Data Pipelines
Build and maintain cloud data platforms on AWS, using Spark/PySpark, Python, and SQL to transform raw data into insights for clients.
Principal Data Engineer (14 Month FTC)
Lead the design and operation of secure, scalable data pipelines and platforms for British Airways, ensuring high availability and performance of critical data products.
Principal Engineer, AI & Data Platform
Principal Engineer to design and lead Bullish’s AI & Data Platform, building semantic layers, knowledge graphs, and conversational analytics for institutional crypto and fintech use cases.
Data Architect
Design and build cloud-native data platforms using Snowflake, DBT, and ingestion tools for financial-services clients, focusing on data warehousing and regulatory reporting.
Senior Data Engineer - Reference Data (Assistant Vice President)
Build and maintain core reference-data pipelines in Snowflake and AWS for a global investment bank, using Python, Airflow, and modern cloud-native tooling.
Staff or Principal Data Engineer
Lead design and delivery of scalable data platforms and pipelines for a large UK retailer, using modern cloud and event-driven tech to improve data quality, governance, and AI-driven insights across 10M+ users.
Senior Data and AI Engineer
Build and operate a global renewable-energy data platform, engineering pipelines and AI-ready datasets on Azure/Microsoft Fabric to power analytics and ML at scale.