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.
WHAT YOU’LL BE RESPONSIBLE FOR
- 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
YOUR EXPERIENCE INCLUDES
- 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
NICE-TO-HAVE
- 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
What we offer:
- Dynamic and collaborative work environment.
- A generous vacation policy starting on your first day.
- Hybrid work policy - Work from the office one day a week if you live within a
40km radius to our Quebec City office or a 15 km radius to our Montreal
office.
- 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 and finish
at noon on Fridays.
- 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.
- Whatever you need to keep learning and evolving professionally.
*Certain benefits are exclusively accessible to employees in Canada.
Want to learn more about our culture? Click HERE
[https://2394300.fs1.hubspotusercontent-na1.net/hubfs/2394300/HR%20files/CultureBook-En-screen.pdf].
