Maniko Nails GmbH
Senior Analytics Engineer(m/w/x)
Full-timeRemoteSenior
Berlin
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DEDeepL
Senior Analytics Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
Nejo AI Summary
Building foundational data models and scalable data architecture in on-prem/cloud for a global Language AI platform, integrating new data sources via DataOps. 5+ years in data/analytics engineering with data model design and cloud data warehouse expertise required. Hybrid work, flexible hours.
Requirements
- 5+ years in data or analytics engineering roles
- Expertise in designing and implementing data models
- Advanced proficiency in SQL
- Experience in data manipulation with Python
- Hands-on experience with cloud data warehouses
- Experience with data orchestration and transformation tools
- Understanding of best practices for querying OLAP databases
- Ability to work with business stakeholders
- Experience diagnosing and resolving data issues
- Excellent problem-solving abilities
Tasks
- Build and maintain data pipelines
- Create foundational data models in the data warehouse
- Integrate new data sources using DataOps best practices
- Support data specialists in optimizing queries and tables
- Design and implement scalable data architecture in on-prem and cloud environments
- Develop and optimize data models for analytics and reporting
- Monitor and enhance data system performance
- Ensure data quality, consistency, and integrity
- Apply data governance frameworks and champion data contracts
- Maintain comprehensive documentation and promote best practices
- Guide and mentor junior team members
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Snowflake
- Databricks
- BigQuery
- Clickhouse
- dbt
- Airflow
Benefits
Flexible Working
- Hybrid work schedule
- Flexible working hours
Informal Culture
- Diverse and internationally distributed team
- Open communication
Career Advancement
- Regular feedback
Team Events
- Regular in-person team events
- Monthly full-day hacking sessions
More Vacation Days
- 30 days of annual leave
Other Benefits
- Competitive benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepL 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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DEDeepL
Senior Analytics Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
Nejo AI Summary
Building foundational data models and scalable data architecture in on-prem/cloud for a global Language AI platform, integrating new data sources via DataOps. 5+ years in data/analytics engineering with data model design and cloud data warehouse expertise required. Hybrid work, flexible hours.
Requirements
- 5+ years in data or analytics engineering roles
- Expertise in designing and implementing data models
- Advanced proficiency in SQL
- Experience in data manipulation with Python
- Hands-on experience with cloud data warehouses
- Experience with data orchestration and transformation tools
- Understanding of best practices for querying OLAP databases
- Ability to work with business stakeholders
- Experience diagnosing and resolving data issues
- Excellent problem-solving abilities
Tasks
- Build and maintain data pipelines
- Create foundational data models in the data warehouse
- Integrate new data sources using DataOps best practices
- Support data specialists in optimizing queries and tables
- Design and implement scalable data architecture in on-prem and cloud environments
- Develop and optimize data models for analytics and reporting
- Monitor and enhance data system performance
- Ensure data quality, consistency, and integrity
- Apply data governance frameworks and champion data contracts
- Maintain comprehensive documentation and promote best practices
- Guide and mentor junior team members
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Snowflake
- Databricks
- BigQuery
- Clickhouse
- dbt
- Airflow
Benefits
Flexible Working
- Hybrid work schedule
- Flexible working hours
Informal Culture
- Diverse and internationally distributed team
- Open communication
Career Advancement
- Regular feedback
Team Events
- Regular in-person team events
- Monthly full-day hacking sessions
More Vacation Days
- 30 days of annual leave
Other Benefits
- Competitive benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepL 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
DeepL
Industry
IT
Description
DeepL is a global communications platform powered by Language AI, focused on breaking down language barriers and improving communication.
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