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Job Description: The good fit will handle the project, which is a premier, cloud-based big data analytics platform that serves as the technology backbone of the Company's commercial operations.
The platform processes large volumes of transactional and market data to power pricing, deal-scoring, and promotional-optimisation engines, exposes this intelligence through purpose-built web workbenches, and integrates natively with clients' ERP, CRM, and CPQ ecosystems.
Required Soft Skills:
Strong self-management: ability to work independently and meet deadlines
Proactive and ownership-driven mindset
Effective and clear communication, including in distributed teams
Collaborative, open to feedback, and focused on shared goals
Strong problem-solving skills, especially in ambiguous contexts typical of evolving enterprise platforms
High attention to detail and code quality
Adaptability to shifting priorities and new technologies
Upper-Intermediate English (written and spoken)
Hard Skills / Need to Have:
8+ years of experience as a Full-Stack Engineer
Strong proficiency in Python (Django/Flask/FastAPI or similar) and React (hooks, component architecture, state management)
Solid experience with PostgreSQL or other relational databases; comfort with data modeling for large-scale/analytical datasets
Good understanding of REST APIs, microservices, and modern web application architecture
Practical knowledge of Agentic AI / GenAI tools and how to apply them in product features (not just as a coding aid)
Experience working in Agile teams
Hard Skills / Nice to Have (Optional):
Experience with cloud platforms (AWS/Azure/GCP) and SaaS/hybrid deployment models
Exposure to data pipelines/ETL, data lake architectures, or big data tooling (Spark, Airflow, Kafka)
Experience integrating with or building for CRM/ERP/CPQ systems
Background in pricing, commercial analytics, or B2B/B2C revenue-management domains
Familiarity with Angular (useful for cross-team collaboration on adjacent modules)
Responsibilities and Tasks:
Design, build, and maintain full-stack features across a Python-based backend and a React front-end for high-throughput analytics workbenches
Develop and optimize REST APIs and services that process large, complex commercial/transactional datasets
Contribute to data model design and query performance for pricing, deal, and promotional-analytics use cases
Collaborate with data science/ML engineers to integrate predictive and prescriptive models (pricing optimization, deal scoring, product matching) into production workflows
Help embed GenAI/agentic capabilities (e.g., automated data enrichment, natural-language insight agents) into the product
Build and support integrations with external CRM, ERP, and CPQ systems
Participate in architecture discussions, code reviews, and technical decision-making within an Agile team
Write clean, tested, maintainable code and contribute to CI/CD practices
Troubleshoot and resolve issues across the full stack in a distributed, cross-functional team
Technology Stack:
Python (Django/Flask/FastAPI or similar) and React, PostgreSQL, REST APIs, Agentic AI / GenAI tools
Work arrangement
Hybrid
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