Yoshi en
Senior Data Engineer(m/w/x)
Full-timeOn-siteSenior
Berlin
New Job?Nejo!
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SUSunday Natural
Senior Data Engineer(m/w/x)
Berlin
Full-timeOn-siteSenior
Data Science
Nejo AI Summary
Building scalable data pipelines and ETL/ELT processes on Google Cloud Platform for natural health products. 5+ years data engineering experience with Python and SQL required. 28 days PTO plus additional days off between Christmas and New Year.
Requirements
- 5+ years in Data Engineering, Data Analysis, Data Science, Data Architecture, or similar roles
- Degree in Computer Science, Engineering, Information Technology, or related field
- Strong proficiency in Python and SQL
- Proven experience building ETL pipelines
- Hands-on experience with Google Cloud Platform
- Hands-on experience with BigQuery, Cloud Storage, and Datastream
- Experience with dbt (including testing)
- Experience with Prefect for orchestration
- Solid understanding of technical infrastructure and data platform integration
- Strong problem-solving skills
- Attention to detail
- Ability to work independently
- Excellent communication skills
- Collaboration skills
- Experience with Bloomreach Exponea, Linkster, Tableau, Magento, or Odoo
- Experience with containerization, CI/CD, or MLOps practices
- Encouragement to apply even if not matching 100% of requirements
Tasks
- Design, build, and maintain data infrastructure
- Ensure reliable and efficient data flow
- Design, develop, and maintain scalable data pipelines
- Build and optimize ETL/ELT processes
- Develop data integration workflows
- Build and optimize data models and schemas
- Implement partitioning strategies
- Create fact and dimension tables
- Manage batch jobs and streaming data
- Manage API integrations across systems
- Monitor data platform performance and cost
- Introduce improvements to the data platform
- Identify and troubleshoot data issues
- Implement solutions for data issues
- Collaborate with data analysts and engineers
- Translate data requirements into technical solutions
- Support integrations with Bloomreach/Exponea
- Support integrations with Linkster
- Support integrations with Zendesk
- Support integrations with Magento
- Support integrations with Odoo
- Contribute to cloud infrastructure improvements
- Contribute to orchestration improvements
- Contribute to CI/CD practice improvements
- Contribute to MLOps practice improvements
- Stay updated on data engineering technologies
- Stay updated on data engineering best practices
Work Experience
- 2 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Google Cloud Platform
- BigQuery
- Cloud Storage
- Datastream
- dbt
- Prefect
- Bloomreach Exponea
- Linkster
- Tableau
- Magento
- Odoo
Benefits
Corporate Discounts
- Discount on Yoshi en products
- Discounts on brands (Flaconi, Bosch, Apple, Expedia)
More Vacation Days
- 28 days paid time off
- Up to 5 days off between Christmas and New Year
Healthcare & Fitness
- Urban Sports Club membership
Public Transport Subsidies
- Subsidy for BVG ticket
Startup Environment
- Ownership and room for initiatives
Diverse Work
- Opportunity to contribute expertise and implement ideas
Modern Office
- Inviting office spaces
Snacks & Drinks
- Organic teas and superfoods
Team Events
- Regular tea parties
- Office parties
- Christmas Fest
- Summer Fest
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sunday Natural 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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SUSunday Natural
Senior Data Engineer(m/w/x)
Berlin
Full-timeOn-siteSenior
Data Science
Nejo AI Summary
Building scalable data pipelines and ETL/ELT processes on Google Cloud Platform for natural health products. 5+ years data engineering experience with Python and SQL required. 28 days PTO plus additional days off between Christmas and New Year.
Requirements
- 5+ years in Data Engineering, Data Analysis, Data Science, Data Architecture, or similar roles
- Degree in Computer Science, Engineering, Information Technology, or related field
- Strong proficiency in Python and SQL
- Proven experience building ETL pipelines
- Hands-on experience with Google Cloud Platform
- Hands-on experience with BigQuery, Cloud Storage, and Datastream
- Experience with dbt (including testing)
- Experience with Prefect for orchestration
- Solid understanding of technical infrastructure and data platform integration
- Strong problem-solving skills
- Attention to detail
- Ability to work independently
- Excellent communication skills
- Collaboration skills
- Experience with Bloomreach Exponea, Linkster, Tableau, Magento, or Odoo
- Experience with containerization, CI/CD, or MLOps practices
- Encouragement to apply even if not matching 100% of requirements
Tasks
- Design, build, and maintain data infrastructure
- Ensure reliable and efficient data flow
- Design, develop, and maintain scalable data pipelines
- Build and optimize ETL/ELT processes
- Develop data integration workflows
- Build and optimize data models and schemas
- Implement partitioning strategies
- Create fact and dimension tables
- Manage batch jobs and streaming data
- Manage API integrations across systems
- Monitor data platform performance and cost
- Introduce improvements to the data platform
- Identify and troubleshoot data issues
- Implement solutions for data issues
- Collaborate with data analysts and engineers
- Translate data requirements into technical solutions
- Support integrations with Bloomreach/Exponea
- Support integrations with Linkster
- Support integrations with Zendesk
- Support integrations with Magento
- Support integrations with Odoo
- Contribute to cloud infrastructure improvements
- Contribute to orchestration improvements
- Contribute to CI/CD practice improvements
- Contribute to MLOps practice improvements
- Stay updated on data engineering technologies
- Stay updated on data engineering best practices
Work Experience
- 2 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Google Cloud Platform
- BigQuery
- Cloud Storage
- Datastream
- dbt
- Prefect
- Bloomreach Exponea
- Linkster
- Tableau
- Magento
- Odoo
Benefits
Corporate Discounts
- Discount on Yoshi en products
- Discounts on brands (Flaconi, Bosch, Apple, Expedia)
More Vacation Days
- 28 days paid time off
- Up to 5 days off between Christmas and New Year
Healthcare & Fitness
- Urban Sports Club membership
Public Transport Subsidies
- Subsidy for BVG ticket
Startup Environment
- Ownership and room for initiatives
Diverse Work
- Opportunity to contribute expertise and implement ideas
Modern Office
- Inviting office spaces
Snacks & Drinks
- Organic teas and superfoods
Team Events
- Regular tea parties
- Office parties
- Christmas Fest
- Summer Fest
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sunday Natural 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
Sunday Natural
Industry
Food
Description
The company produces high-quality natural health supplements and is committed to ecological responsibility.
Not a perfect match?
- Yoshi en
Senior Data Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - mama health
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Full-timeOn-siteSeniorBerlin - Almedia
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Full-timeOn-siteExperiencedBerlinfrom 190,000 / year - SumUp
Senior Data Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - easycosmetic
Data Engineer – Data Warehouse & ELT Architecture(m/w/x)
Full-timeOn-siteExperiencedBerlin