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Senior Data Engineer – AWS & Scalable Data Pipelines
Design and optimize scalable AWS-based data pipelines to feed enterprise analytics and decision-making systems.
Azure Data Engineer: Build Data Pipelines & Lakehouse
Designs and optimizes Azure data pipelines and ETL workflows using Azure Data Factory and Databricks, leveraging Python and SQL.
Databricks Data Engineer - Build Scalable Data Pipelines
Build and maintain scalable data pipelines and platforms using Databricks, collaborating with data scientists and analysts to ensure data accuracy and efficiency.
Remote Data Engineer: Build Scalable Data Pipelines
Design and maintain scalable data pipelines and infrastructure for a SaaS company, ensuring high-quality data access for analysts and stakeholders.
Remote Senior Data Engineer — Data Pipelines & Cloud Solutions
Senior Data Engineer builds and optimizes cloud-based data pipelines using Azure, Python, and SQL to modernize client data environments.
Data Engineer: Scalable Pipelines & Warehousing
Designs and optimizes scalable data pipelines and warehouses using Python, SQL, and Databricks to deliver reliable datasets for finance, actuarial, and payroll teams.
ML Engineer | Hybrid
Build and deploy AI/ML models and data pipelines for an insurance group, focusing on Snowflake data assets, MLOps, and production-grade ML systems.
Cloud Engineer
Design and maintain scalable cloud data pipelines using Azure, Databricks, Spark, and Python, ensuring secure, compliant, and high-performance data solutions for enterprise analytics.
Data Architect (databricks / data modelling)
Design and implement enterprise-grade data platforms on Azure for an insurance company, focusing on scalable modeling, governance, and analytics using Synapse, Databricks, Power BI, and Azure ML.
Data Architect (databricks/data modelling)
Designs and implements enterprise-scale data platforms on Azure, focusing on insurance data models, semantic layers, and regulatory compliance while leading modernization and governance initiatives.
Cloud Engineer
Designs and maintains scalable cloud data pipelines on Azure, using Python, PySpark, Databricks, and Fabric to ingest, transform, and deliver data for analytics and reporting.
Senior Specialist Machine Learning Engineer
Design and deploy scalable ML systems in production, owning MLOps pipelines, real-time inference, and model monitoring across Vodafone’s markets.
Data Analyst
Analyze financial datasets to uncover trends and anomalies, build dashboards in Power BI/Tableau, and maintain data integrity using SQL, Python, and Microsoft Fabric.
Senior Data/AI Technical Architect
Designs and governs enterprise AI, data, and cloud architectures on Azure, AWS, and GCP, guiding clients through modernization and AI adoption while ensuring security, cost efficiency, and compliance.
Enterprise Data Architect
Design and govern enterprise-wide data architecture for a healthcare innovation hub, applying TOGAF and DAMA-DMBOK to enable scalable data platforms, advanced analytics, and AI initiatives.
Cloud Engineer
Design and maintain petabyte-scale data pipelines and cloud platforms for a bank, using Azure, Spark, and Python to deliver governed, low-latency data products.
Machine Learning Operations Engineer
Build and deploy LLM-powered tools, RAG systems, and agentic workflows, then run the Kubernetes-based AI infrastructure that serves them reliably across the company.
Engenheiro(a) de Dados GCP - Data Engineer - Sênior (Remoto)
Senior Data Engineer builds and optimizes GCP-based data pipelines and analytics platforms using BigQuery, Dataflow, and Looker to deliver reliable, high-quality data assets for enterprise reporting and decision-making.