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Cloud Data Engineer - BigQuery & Analytics | Remote
Design and manage end-to-end data architecture on Google BigQuery, build scalable data lakes, and automate pipelines using Python and SQL for a fintech company.
Senior Databricks Data Engineer
Designs and builds scalable data pipelines on Databricks (PySpark/Scala) and Delta Lake, optimizing cloud-native architectures on Azure for batch and streaming workloads.
Data Engineer, Back-End Architect
Designs and builds scalable data pipelines and back-end architectures to support AI-driven hiring tools, using Python, SQL, and cloud services like AWS/GCP.
Data Engineer – AI & Data Products
Build cloud-native data pipelines and AI/ML feature stores for a large insurer, using Python, Spark, and cloud platforms to power analytics and GenAI use cases.
AI & Data Engineer
Builds and maintains ETL pipelines, trains ML models, and deploys them on Databricks using PySpark, Python, and cloud services.
Senior Databricks Data Engineer
Design and build scalable, high-performance data pipelines on Databricks (Delta Lake, Medallion architecture) using PySpark/Scala, optimizing batch and streaming workloads for large-scale data processing in Azure.
Senior Databricks Data Engineer
Senior Data Engineer builds scalable ETL/ELT pipelines on Databricks (PySpark, Delta Lake) in Azure, designs Medallion architectures, and partners with Data Scientists and BI teams to deliver clean, governed data for analytics and ML.
Data Engineer – Cloud & Analytics
Design and manage end-to-end data architecture on Google BigQuery, build scalable data lakes, and automate pipelines in Python and SQL for a fintech company.
Senior Data Engineer
Build AI and data systems for energy infrastructure, focusing on predictive maintenance, anomaly detection, and energy forecasting using Python, Databricks, and cloud-native tooling.
DevOps Engineer – Cloud Native AI (Sovereign Cloud)
Build and maintain sovereign, self-hosted AI infrastructure on Italian national clouds, deploying Kubernetes clusters and MLOps toolchains while ensuring GDPR/AGID compliance.
Senior Data Analyst
Senior Data Analyst builds and operationalizes ML models on Azure Databricks to deliver predictive analytics and drive data-driven decisions across KPMG Indonesia.
Machine Learning Engineer / AI Engineer
Build and deploy production-grade ML systems and automation tools at a travel-tech company, collaborating with data scientists and stakeholders to turn models into reliable services.
Senior Data Analyst - AI/ML Driver (Azure Databricks)
Senior Data Analyst at KPMG Indonesia to lead data strategy, build ML-ready pipelines, and deliver insights using Python, Spark, and Azure Databricks.
Machine Learning Engineer / AI Engineer
Build and deploy ML systems and internal automation tools for a travel-tech startup, using Python, cloud platforms, and MLOps practices.
Full-Stack Developer (ERPNext & AI experience)
Build and customize ERPNext modules, integrate AI models for manufacturing, and develop full-stack web apps with Next.js, React, and Python.
Senior QA Engineer - Azure AI
Senior QA Engineer designs and automates tests for AI/LLM systems on Azure, building Python frameworks and CI/CD pipelines to validate reliability, correctness, and safety of GenAI deployments.
Data Science & Engineering Analyst con discapacidad
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents for an insurer, using Python, AWS SageMaker, and NLP libraries.
(Senior) AI Engineer - Data & AI Organisation (all genders)
Build and scale AI systems, including LLM pipelines and agentic workflows, to deliver data-driven solutions for Merck’s business functions like Finance, HR, and Procurement.
DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Senior Data & Machine Learning Engineer
Build and productionize ML models and data services that power real-time credit and fraud decisions for SMEs, using Python, FastAPI, SQL, and AWS.