Backend Developer (Data)

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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

Nice-to-have

What we offer :

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