Backend Developer (Data)

Poka EN•Montreal, QC

1d•Hybrid

About The Position

At Poka, we’re transforming how frontline teams operate, learn, and solve problems. Our connected worker platform is purpose-built for manufacturing, empowering frontline workers to share knowledge, collaborate in real-time, and drive continuous improvement. Think of it as the missing digital link, bringing the human interface into the stack of the Smart Factory, generating the right data and insights that drive entirely new scales of process improvements. We’re proud to support global leaders like Nestlé, Bosch, Mars, and Danone in their digital transformation journeys and as part of the IFS family, our reach and impact continue to grow globally. 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.

Requirements

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
An understanding of English is essential at Poka, as it is the language used during company-wide meetings and many internal communications, ensuring effective collaboration and decision-making. In addition, as Poka operates in an international environment, English is the primary language for communicating with our clients and partners, enabling us to better serve them and represent Poka in a professional manner.

Nice To Haves

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

Responsibilities

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

Benefits

Dynamic and collaborative work environment.
A generous vacation policy starting on your first day.
Hybrid work policy - Employees who live within a 40 km radius of our Québec City office or a 15 km radius of our Montréal office are required to work in-office two days per week.
100% remote work if you do not live within the radiuses mentioned above.
A truly flexible schedule that allows you to adapt your work hours.
Group insurance from day one (dental, medication, disability, travel, etc.) with employer contributions, including access to telemedicine and an Employee Assistance Program (EAP).
A retirement savings plan with employer contributions.
A MacBook Pro and a $500 home office allowance upon hiring.
Tasty snacks available at all times in our offices (fresh fruits, snacks, pastries, coffee, tea, etc.)
Generous referral bonus.
The tools, support, and opportunities you need to keep learning and progressing in your career.
Certain benefits are exclusively accessible to employees in Canada.