Backend Developer (Data)

The Analytics team is responsible for developing Poka’s data analytics platform and managing a wide range of services and tools to store, transform, and analyze the use of our application by our customers and their factories. These internal products provide visibility on Poka usage, both internally and for production line managers, enabling them to make informed strategic decisions.

As a Backend Developer (Data), you will play a key role in the design and evolution of our modern data platform. You will be involved in creating robust, scalable, near real-time data pipelines while applying best software engineering practices to ensure the quality, reliability, and performance of our systems. You will also work on production-grade Python code for backend services and integrations, and actively contribute to integrating new use cases in artificial intelligence and advanced analytics.

• Design, develop, and optimize robust, scalable, near real-time ELT/ETLT data pipelines
• Develop and maintain production-level Python code, including backend data services
• Apply modern software engineering practices: automated testing, CI/CD, code reviews, observability
• Design and evolve high-quality analytical data models (Star/Snowflake schema)
• Collaborate with product managers and stakeholders to translate analytical needs into concrete technical solutions
• Participate actively in architectural decisions and the introduction of new tools or technologies
• Contribute to the integration of AI-driven use cases into our data platform
• Mentor and guide less experienced team members to promote best practices

• A Bachelor’s degree, AEC, DEC, or other relevant training
• Strong experience in Python, applied to both data processing and backend service development
• Advanced proficiency in SQL and query optimization
• Hands-on experience in designing and maintaining complex data pipelines (ELT/ETL), ideally in near real-time environments
• Solid experience in structured software development: architecture, testing, CI/CD, best coding practices
• Strong knowledge of analytical data modeling
• Effective communication skills in both French and English
• Strong ability to collaborate within multidisciplinary team

• Advanced experience with Snowflake or other modern data warehouses
• Experience with transformation tools (dbt)
• Experience with workflow orchestration (Prefect, Airflow)
• Familiarity with visualization tools (Looker or others)
• Experience with cloud services (AWS, GCP, Azure)
• Experience in implementing data monitoring, security, and governance practices
• Knowledge of cloud-native microservices development and deployment
• Experience in developing or integrating conversational agents applied to analytics