Data Engineer - Telemetry Data (m/w/d)

About us

Vusion empowers retailers to turn their physical stores into powerful digital assets, more automated, data-driven, AI enabled and connected, by leveraging our IoT Cloud technology.

At Vusion, our business plan sets out ambitious, company-wide goals; we see growth as a challenge and innovation as a core component of our development strategy and our rapid international expansion. As a result, all our employees are given responsibility quickly and their careers progress in line with changes in the Group.

Joining Vusion means working for the world’s leading supplier of electronic shelf labels for large-scale retailers and helping to build the history of our trailblazing business. It means believing in the business plan and sharing the ambitions of a fast-changing, internationally-focused company. Thanks to the talent and the dedication of our multidisciplinary, multicultural teams, Vusion is enjoying unrivaled growth. We are entrepreneurs: Vusion is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower.

Responsibilities

Design and implement scalable data pipelines to ingest, process, and transform telemetry data from ESLs and EdgeSense devices.; Build and evolve data models and workflows to support analytics, dashboards, and reporting use cases.; Develop and maintain data processing components within modern cloud-based data platforms (Azure and Snowflake).; Collaborate closely with analysts to ensure high-quality, accessible telemetry datasets.; Contribute to the continuous improvement of data architecture, tooling, and engineering standards.; Support implementation of data quality, observability, and governance practices.; Apply engineering best practices including testing, documentation, CI/CD, and data reliability principles.

Requirements

1+ years of professional experience in data engineering or a closely related field.; Strong SQL skills and proficiency in Python or another scripting language for data processing and automation.• Solid understanding of data modeling, ETL/ELT design, and structured data workflows.; Experience working with cloud-based data platforms (e.g., Azure or Snowflake).; Ability to work independently on defined tasks and deliver production-ready solutions.; Good communication and collaboration skills.

Nice to have

Experience with Snowflake Data Cloud or similar data warehouse technologies.; Experience working with telemetry data from devices, sensors, or other field-based systems.; Experience with Azure Data Factory.