Porsche Informatik GmbH
Data Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Salzburg, Wien, Hagenberg
from 56,854 / year
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PAPALFINGER
Data Engineer(m/w/x)
Bergheim
from 53,241.02 / year
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Designing data architecture and implementing ingestion/transformation pipelines for crane and lifting solutions. Experience with Databricks, MS Fabric, and cloud platforms required. Flexible working hours, international career opportunities.
Requirements
- Completed technical education (engineering, computer science, business informatics or comparable)
- Experience designing and implementing data processing pipelines, data models, and data architectures
- Strong knowledge of Data Engineering programming languages, libraries, and toolsets (e.g. Python, Pandas, SQL, Spark, Azure Data Factory)
- Experience with specific data solutions like Databricks or MS Fabric
- Knowledge of cloud platforms (e.g. MS Azure, GCP, AWS) and software development tools and concepts (e.g. Git, CI/CD)
Tasks
- Design and implement data ingestion processes
- Maintain data transformation routines
- Develop and maintain data models
- Design data architecture for efficient processing and storage
- Orchestrate data load processes
- Monitor data load processes
- Ensure data quality
- Support Machine Learning Operations with high-quality data
- Coordinate with internal partners
- Coordinate with external stakeholders
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Pandas
- SQL
- Spark
- Azure Data Factory
- Databricks
- MS Fabric
- MS Azure
- GCP
- AWS
- Git
- CI/CD
Benefits
Flexible Working
- Flexible working hours
- No core time
- Work from home possibility
Learning & Development
- Further training
Career Advancement
- International career opportunities
Healthcare & Fitness
- Corporate health management
Free or Subsidized Food
- Company restaurant
- Daily meal subsidy
Public Transport Subsidies
- Job ticket
Corporate Discounts
- Employee discounts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of PALFINGER and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- Porsche Holding Gesellschaft m.b.H.
Business Intelligence Analyst(m/w/x)
Full-timeWith HomeofficeExperiencedSalzburg, Wienfrom 56,854 / year - Iro&Partners
Business Intelligence & Data Specialist(m/w/x)
Full-timeWith HomeofficeNot specifiedSalzburg - PALFINGER
Development Engineer Advanced Mechanical Development(m/w/x)
Full-timeWith HomeofficeSeniorKöstendorffrom 53,241 / year - PALFINGER
Cyber Security Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBergheimfrom 53,241.02 / year
PAPALFINGER
Data Engineer(m/w/x)
Bergheim
from 53,241.02 / year
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Designing data architecture and implementing ingestion/transformation pipelines for crane and lifting solutions. Experience with Databricks, MS Fabric, and cloud platforms required. Flexible working hours, international career opportunities.
Requirements
- Completed technical education (engineering, computer science, business informatics or comparable)
- Experience designing and implementing data processing pipelines, data models, and data architectures
- Strong knowledge of Data Engineering programming languages, libraries, and toolsets (e.g. Python, Pandas, SQL, Spark, Azure Data Factory)
- Experience with specific data solutions like Databricks or MS Fabric
- Knowledge of cloud platforms (e.g. MS Azure, GCP, AWS) and software development tools and concepts (e.g. Git, CI/CD)
Tasks
- Design and implement data ingestion processes
- Maintain data transformation routines
- Develop and maintain data models
- Design data architecture for efficient processing and storage
- Orchestrate data load processes
- Monitor data load processes
- Ensure data quality
- Support Machine Learning Operations with high-quality data
- Coordinate with internal partners
- Coordinate with external stakeholders
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Pandas
- SQL
- Spark
- Azure Data Factory
- Databricks
- MS Fabric
- MS Azure
- GCP
- AWS
- Git
- CI/CD
Benefits
Flexible Working
- Flexible working hours
- No core time
- Work from home possibility
Learning & Development
- Further training
Career Advancement
- International career opportunities
Healthcare & Fitness
- Corporate health management
Free or Subsidized Food
- Company restaurant
- Daily meal subsidy
Public Transport Subsidies
- Job ticket
Corporate Discounts
- Employee discounts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of PALFINGER and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
PALFINGER
Industry
Manufacturing
Description
Das Unternehmen ist ein globaler Anbieter innovativer Kran- und Hebelösungen im Bereich Technologie und Maschinenbau.
Not a perfect match?
- Porsche Informatik GmbH
Data Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedSalzburg, Wien, Hagenbergfrom 56,854 / year - Porsche Holding Gesellschaft m.b.H.
Business Intelligence Analyst(m/w/x)
Full-timeWith HomeofficeExperiencedSalzburg, Wienfrom 56,854 / year - Iro&Partners
Business Intelligence & Data Specialist(m/w/x)
Full-timeWith HomeofficeNot specifiedSalzburg - PALFINGER
Development Engineer Advanced Mechanical Development(m/w/x)
Full-timeWith HomeofficeSeniorKöstendorffrom 53,241 / year - PALFINGER
Cyber Security Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBergheimfrom 53,241.02 / year