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Senior Analytics Engineer(m/w/x)
Description
As a Senior Analytics Engineer, you will focus on building and maintaining data pipelines, creating data models, and integrating new data sources. By collaborating with data specialists, you will ensure data quality and performance while mentoring junior team members.
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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
Work Experience
5 years
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
Tools & Technologies
Languages
English – Business Fluent
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
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Senior Analytics Engineer(m/w/x)
The AI Job Search Engine
Description
As a Senior Analytics Engineer, you will focus on building and maintaining data pipelines, creating data models, and integrating new data sources. By collaborating with data specialists, you will ensure data quality and performance while mentoring junior team members.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Work Experience
5 years
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
Tools & Technologies
Languages
English – Business Fluent
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
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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