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Data Engineer - Telemetry Data(m/w/x)
Designing and implementing data pipelines for telemetry data from ESLs and EdgeSense at a retail tech company. Experience with cloud-based data platforms like Azure or Snowflake required. No all-in contract, gym/yoga/Padel access, laptop for private use.
Requirements
- 1+ years professional experience in data engineering or related field
- Strong SQL skills
- 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 with cloud-based data platforms (e.g., Azure or Snowflake)
- Ability to work independently and deliver production-ready solutions
- Good communication and collaboration skills
- Experience with Snowflake Data Cloud or similar data warehouse technologies
- Experience with telemetry data from devices, sensors, or field-based systems
- Experience with Azure Data Factory
Tasks
- Design scalable data pipelines
- Implement scalable data pipelines
- Ingest telemetry data from ESLs and EdgeSense
- Process telemetry data from ESLs and EdgeSense
- Transform telemetry data from ESLs and EdgeSense
- Build data models and workflows
- Evolve data models and workflows
- Support analytics, dashboards, and reporting use cases
- Develop data processing components for Azure and Snowflake
- Maintain data processing components for Azure and Snowflake
- Collaborate with analysts to ensure high-quality datasets
- Collaborate with analysts to ensure accessible datasets
- Contribute to continuous data architecture improvement
- Contribute to continuous tooling improvement
- Contribute to continuous engineering standards improvement
- Implement data quality practices
- Implement data observability practices
- Implement data governance practices
- Apply testing best practices
- Apply documentation best practices
- Apply CI/CD principles
- Apply data reliability principles
Work Experience
- 1 year
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Azure
- Snowflake
- Snowflake Data Cloud
- Azure Data Factory
Benefits
Flexible Working
- Flexible working hours
- Home office
Snacks & Drinks
- Goodies
- Fresh fruit
- Coffee, tea, Sodastream
Healthcare & Fitness
- Gym / Yoga, Pilates, Functional Fitness, Padel Tennis
Modern Equipment
- Laptop for personal use
Public Transport Subsidies
- Public transport financial support
Informal Culture
- No dress code / Casual style
Team Events
- Team events
Other Benefits
- Accessibility
Parking & Commuter Benefits
- Bicycle parking
- EV charging stations
Free or Subsidized Food
- Canteen with varied meals
- Meal subsidies
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Data Engineer - Telemetry Data(m/w/x)
Designing and implementing data pipelines for telemetry data from ESLs and EdgeSense at a retail tech company. Experience with cloud-based data platforms like Azure or Snowflake required. No all-in contract, gym/yoga/Padel access, laptop for private use.
Requirements
- 1+ years professional experience in data engineering or related field
- Strong SQL skills
- 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 with cloud-based data platforms (e.g., Azure or Snowflake)
- Ability to work independently and deliver production-ready solutions
- Good communication and collaboration skills
- Experience with Snowflake Data Cloud or similar data warehouse technologies
- Experience with telemetry data from devices, sensors, or field-based systems
- Experience with Azure Data Factory
Tasks
- Design scalable data pipelines
- Implement scalable data pipelines
- Ingest telemetry data from ESLs and EdgeSense
- Process telemetry data from ESLs and EdgeSense
- Transform telemetry data from ESLs and EdgeSense
- Build data models and workflows
- Evolve data models and workflows
- Support analytics, dashboards, and reporting use cases
- Develop data processing components for Azure and Snowflake
- Maintain data processing components for Azure and Snowflake
- Collaborate with analysts to ensure high-quality datasets
- Collaborate with analysts to ensure accessible datasets
- Contribute to continuous data architecture improvement
- Contribute to continuous tooling improvement
- Contribute to continuous engineering standards improvement
- Implement data quality practices
- Implement data observability practices
- Implement data governance practices
- Apply testing best practices
- Apply documentation best practices
- Apply CI/CD principles
- Apply data reliability principles
Work Experience
- 1 year
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Azure
- Snowflake
- Snowflake Data Cloud
- Azure Data Factory
Benefits
Flexible Working
- Flexible working hours
- Home office
Snacks & Drinks
- Goodies
- Fresh fruit
- Coffee, tea, Sodastream
Healthcare & Fitness
- Gym / Yoga, Pilates, Functional Fitness, Padel Tennis
Modern Equipment
- Laptop for personal use
Public Transport Subsidies
- Public transport financial support
Informal Culture
- No dress code / Casual style
Team Events
- Team events
Other Benefits
- Accessibility
Parking & Commuter Benefits
- Bicycle parking
- EV charging stations
Free or Subsidized Food
- Canteen with varied meals
- Meal subsidies
About the Company
VusionGroup SA
Industry
IT
Description
The company is a fast-growing retail tech firm specializing in IoT and data technologies for commerce.
Not a perfect match?
- Capgemini
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Full-timeWith HomeofficeExperiencedWien, Grazfrom 60,000 / year - Netconomy GmbH
Data Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedGraz, Wien, Pörtschach am Wörther Seefrom 53,802 / year - TimeTac
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Full-time/Part-timeWith HomeofficeSeniorHohenzell, Grazfrom 3,843 / month