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Big Data Engineer & Analytics Specialist
Builds and optimizes Big Data pipelines and analytics solutions using cloud platforms (AWS/GCP/Azure) and tools like Spark, Kafka, and NoSQL, collaborating with devs, tech leads, and clients to deliver scalable data-driven applications.
Software Engineer - Difesa, Java/C++, DevOps & TDD
Develops defense-related software in Java/C++ with a focus on TDD, unit testing, and DevOps practices for a client in the defense sector, using tools like Git, Jira, and Jenkins.
Senior Java Developer - Microservices & Banking (Hybrid)
Builds and maintains Java-based microservices for a banking platform using Spring/Spring Boot, CI/CD, and SQL/NoSQL databases.
Java Developer
Builds enterprise Java backends using Spring, Spring Boot, and microservices; designs data models and writes unit tests.
Data Engineer
Designs and builds scalable data pipelines and systems using Python, SQL/NoSQL, and containerization to process and transform large datasets for analytics.
Remote Data Engineer — Pipelines & Systems
Designs and builds scalable data pipelines and systems using Python, Docker/Kubernetes, and SQL/NoSQL databases to collect, transform, and orchestrate large datasets.
Software Engineer in Test (SET)
Develops and maintains test automation frameworks for APIs and web UIs, builds CI/CD pipelines, and promotes QA best practices to ensure high-quality software delivery by collaborating with engineers and stakeholders.
AI-Native Full-Stack Software Engineer / Technical Project Manager
Build and lead an AI-native software factory where autonomous agents plan, code, test, and deploy full-stack features while you set architecture, governance, and quality standards.
Fullstack L4 - Java + React
Software Engineer (Fullstack) – L4 What You’ll Do Lead the design, development, and delivery of scalable fullstack solutions, owning features end-to-end across backend and frontend systems. Architect and build robust…
Backend Developer
Build and maintain scalable backend services using Java/Spring Boot, REST APIs, and cloud-native systems, with occasional exposure to AI-driven features.
Data analyst
Builds and maintains data warehouses and analytical dashboards, writes SQL queries, and collaborates with engineers and business stakeholders to deliver data-driven insights using PostgreSQL and related tools.
Azure Data Engineer
Build and maintain cloud-based data pipelines and warehouses in Azure to power automotive industry analytics, using Synapse, Data Factory, PySpark, and SQL.
Senior Associate Data Engineering
Design and build large-scale data pipelines and cloud-native platforms using Snowflake/Databricks, Python, SQL, and IaC tools like Terraform to enable analytics and digital transformation for enterprise clients.
Senior Associate Data Engineering
Design and build cloud-native data pipelines and platforms for clients, using Snowflake/Databricks and infrastructure-as-code tools like Terraform to enable scalable analytics and transformation.
Senior Associate Data Engineering
Design and build cloud-native data pipelines and platforms for clients, using Snowflake, Databricks, and infrastructure-as-code tools like Terraform.
Front end Full stack Engineer with AI
Build and deploy AI/GenAI applications using Python, FastAPI/Flask, and cloud platforms, integrating LLMs, vector databases, and agentic workflows.
Full Stack Developer (FTC - 6mths)
Build and maintain secure, scalable full-stack apps for a payment processor, including customer portals, AI features, and integrations with service management tools.
Full Stack Developer - Vehicle
Lead a government mobility team building scalable, event-driven microservices with Java/Spring Boot, GraphQL, and AWS while mentoring engineers and shaping technical roadmaps.
Middle+ Backend PHP (Laravel) разработчик
Разработчик поддерживает и расширяет backend-сервисы на PHP с использованием Laravel, обеспечивая стабильность и производительность системы.
Data Engineer - Data Products
Build and maintain scalable data pipelines and ML inference systems to turn predictions into reliable, production-ready data products using Python, Spark, Databricks, and Azure DevOps.