8 дней назад
Data Engineer - Telemetry Data (m/w/d)
3 267€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer - Telemetry Data (m/w/d) (Azure/Snowflake/IoT): Designing scalable pipelines and data models for telemetry from electronic shelf labels and EdgeSense devices with an accent on cloud data platforms, analytics-ready datasets, and data reliability. Focus on building ETL/ELT workflows, implementing data quality and observability practices, and maintaining production-ready processing components.
Location: Fernitz bei Graz, Austria
Salary: €3,267 gross per month minimum under the collective agreement, with a higher offer depending on qualifications.
Company
develops IoT Cloud technology and electronic shelf labels that help large-scale retailers operate more automated, connected, data-driven stores.
What you will do
- Design and implement scalable pipelines for ingesting, processing, and transforming telemetry from electronic shelf labels and EdgeSense devices.
- Build and evolve data models and workflows for analytics, dashboards, and reporting.
- Develop and maintain data-processing components on Azure and Snowflake.
- Collaborate with analysts to deliver high-quality, accessible telemetry datasets.
- Improve data architecture, tooling, engineering standards, data quality, observability, and governance.
- Apply testing, documentation, CI/CD, and data reliability practices.
Requirements
- At least 1 year 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.
- Understanding of data modeling, ETL/ELT design, and structured data workflows.
- Experience with cloud-based data platforms such as 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 warehouses.
- Experience with telemetry from devices, sensors, or field-based systems.
- Experience with Azure Data Factory.
Culture & Benefits
- International, multicultural environment with colleagues across 19 countries.
- Flexible working hours and home-office options.
- Laptop for personal use, public transport support, bicycle parking, and EV charging stations.
- Fitness activities, team events, canteen meals with subsidies, fresh fruit, and refreshments.
- Casual dress code, accessibility support, and no all-in contract.
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