1 час назад
Data Engineer (Telemetry Data)
3 267€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Telemetry Data) (IoT Cloud/ Azure/ Snowflake): Building scalable pipelines and data models for telemetry from electronic shelf labels and EdgeSense devices with an accent on data processing, analytics datasets, and cloud data platforms. Focus on designing reliable ETL/ELT workflows, implementing data quality and observability practices, and maintaining production-ready data components.
Location: Fernitz bei Graz, Austria
Salary: €3,267 gross per month minimum, with the possibility of a higher salary depending on qualifications.
Company
develops IoT Cloud technology that helps large-scale retailers make physical stores more automated, data-driven, AI-enabled, and connected, including electronic shelf labels.
What you will do
- Design and implement scalable pipelines for telemetry data 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 in Azure and Snowflake cloud platforms.
- Collaborate with analysts to provide high-quality, accessible telemetry datasets.
- Improve data architecture, tooling, engineering standards, 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 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 warehouse technologies.
- Experience working with telemetry data from devices, sensors, or field-based systems.
- Experience with Azure Data Factory.
Culture & Benefits
- Work in a globally distributed, multicultural, and collaborative environment spanning 19 countries.
- Flexible working hours and home-office support.
- Laptop for personal use, public transport financial support, and no all-in contract.
- Fitness activities, team events, meal subsidies, fresh fruit, and workplace refreshments.
- Accessible workplace with bicycle parking, EV charging stations, and public transport connections.
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