q.beyond AG
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Oberhausen, Hamburg, Leipzig, Köln, Darmstadt, Ulm, Augsburg
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GAGARDENA GmbH
Senior Expert Data Architecture & Engineering(m/w/x)
Ulm
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Designing cloud data architectures for e-commerce consumer data at manufacturer of motor-powered equipment for gardening. 5+ years data engineering experience and SQL/Python proficiency required. Leading a high-performing engineering team.
Requirements
- 5+ years experience in data engineering
- Degree in Computer Science or related
- Experience maintaining cloud-based data pipelines
- Proficiency in SQL and Python
- Knowledge of data modeling and automation
- Initial leadership experience and decision-making skills
- Collaborative approach and excellent communication skills
Tasks
- Lead and empower a high-performing engineering team
- Orchestrate diverse datasets on consumer behavior and environment
- Design scalable cloud data architectures and pipelines
- Optimize the existing E-Commerce data platform
- Manage the development roadmap and prioritize features
- Drive project delivery through effective management
- Collaborate with cross-functional teams on data solutions
- Ensure compliance with governance and architectural standards
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Azure
- AWS
- Azure Data Factory
- dbt
- SQL
- Python
- DevOps
- CI/CD
- Azure DevOps
- Databricks
- Snowflake
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of GARDENA GmbH 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.
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GAGARDENA GmbH
Senior Expert Data Architecture & Engineering(m/w/x)
Ulm
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Designing cloud data architectures for e-commerce consumer data at manufacturer of motor-powered equipment for gardening. 5+ years data engineering experience and SQL/Python proficiency required. Leading a high-performing engineering team.
Requirements
- 5+ years experience in data engineering
- Degree in Computer Science or related
- Experience maintaining cloud-based data pipelines
- Proficiency in SQL and Python
- Knowledge of data modeling and automation
- Initial leadership experience and decision-making skills
- Collaborative approach and excellent communication skills
Tasks
- Lead and empower a high-performing engineering team
- Orchestrate diverse datasets on consumer behavior and environment
- Design scalable cloud data architectures and pipelines
- Optimize the existing E-Commerce data platform
- Manage the development roadmap and prioritize features
- Drive project delivery through effective management
- Collaborate with cross-functional teams on data solutions
- Ensure compliance with governance and architectural standards
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Azure
- AWS
- Azure Data Factory
- dbt
- SQL
- Python
- DevOps
- CI/CD
- Azure DevOps
- Databricks
- Snowflake
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of GARDENA GmbH 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
GARDENA GmbH
Industry
Manufacturing
Description
The company is the largest manufacturer of motor-powered equipment for forestry, landscaping, gardening, and light construction.
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