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Data Engineer: Big Data Pipelines & Cloud (Finance)
Builds and maintains big-data pipelines in AWS or GCP using SQL, Python/Scala, and Spark to feed analytics and ML models for a financial-services company.
Senior Data Engineer — ETL Pipelines, Data Lakes & Quality
Designs and builds ETL/ELT pipelines and data lakes, ensuring high-quality data flows using Java, Scala, Python, Spark, and Airflow.
Data Engineer
Builds and maintains scalable ETL/ELT pipelines and data platforms using Python, SQL, PySpark, and Azure services like Databricks and Data Factory.
DevOps Engineer Argentina, Santiago del Estero, Argentina; Bogotá, Bogotá, Colombia; Chile Chic[...]
Build and run Linqia’s AWS-based, Kubernetes-powered influencer marketing platform, automating deployments with Terraform, Jenkins, and GitOps while optimizing cloud costs and reliability.
Principal Software Engineer
Principal Software Engineer to lead the architecture of an AI-ready data platform for a global fintech company, defining standards for trusted, governed data products that power analytics and secure customer integrations.
Desarrollador Backend Aso/Apx + Genai
Backend developer building Java/Spring Boot services for BBVA’s ASO/APX systems, using clean code, unit tests, and CI/CD pipelines while integrating GenAI tooling like GitHub Copilot.
Desarrollador Backend Aso/Apx + Genai
Backend developer building robust Java/Spring Boot services for BBVA’s ASO/APX systems, integrating OSGi deployments and pLSQL, while using GitHub Copilot and Jenkins pipelines.
Senior Python Developer for a 100% Remote, 6 month +, 1099 contract.
Build and lead cloud-native FinOps microservices in Python/AWS, owning full lifecycle from design to deployment and scaling.
Аналитик-разработчик (Python / SQL)
Разрабатывает и поддерживает бизнес-логику на Python/SQL, интегрирует данные из разных источников и внедряет алгоритмы расчёта для цифровых решений в госсекторе, финтехе и других отраслях.
Data Science & Machine Learning Engineering Consultant - Strategy & Consulting
Advise clients on data challenges, design scalable AI solutions, and build production-ready ML pipelines using cloud tech and frameworks like PyTorch.
Platform Engineer – Data & ML for Automated Lending
Build and optimize the MLOps and data platform that powers automated lending decisions using Spark and scalable infrastructure.
Senior Machine Learning Engineer / Data Scientist | Financiële Sector
Build and deploy scalable ML models and data pipelines for fraud detection, risk modeling, and customer analytics in finance using Python, Spark, and cloud platforms.
Senior Machine Learning Engineer / Data Scientist | Financiële Sector
Senior ML Engineer/Data Scientist building scalable fraud-detection, risk, and customer-analytics models in finance using Python, Spark, and cloud platforms.
Software Engineer - Data Integration
Build and operate scalable data pipelines and API-first services that ingest, process, and distribute media intelligence data for brands and partners using Python, Spark, Kafka, and cloud-native tooling.
Senior Data Platform Engineer – Albert Heijn – Zaandam
Build and maintain a self-service data platform for a large food retailer, enabling teams across Europe to securely ingest and process data using cloud-native tools like Databricks, Delta Lake, and Azure.
Python / Data Platform Engineering - Building Distributed Data Platforms at 25,000+ Cores, 23+ [...]
Build and scale a global distributed data platform for a fintech unicorn, using Python, Kafka, Spark, and Trino to power petabytes of storage and real-time decision-making.
Senior Data Platform Engineer (Hybrid) | Databricks & CI/CD
Build and maintain a government data platform using Databricks, Kubernetes, and PowerBI, improving CI/CD and IaC pipelines.
Localization Analytics Engineer: Data-Driven Impact
Design and build analytics tools to expand and improve Netflix’s localization efforts using Python, SQL, and Spark.
Data Platform Engineer – Amsterdam, Hybrid (Relocation and Visa sponsorship included)
Build and maintain large-scale on-premise big data platforms (500+ nodes, 23+ PB storage) for a global payments unicorn, focusing on OLAP and data engineering tooling.