Your personal AI career agent
Transforming and deploying data products for a global digital banking platform. SQL querying and transformation skills required. Personal development budget, fitness discounts, language app subscription.
Requirements
- First work experiences in Data Analyst, Data Engineer, Software Engineer, Analytics Engineer, or quantitative discipline
- Basic understanding of ETL/ELT processes and data warehousing architecture
- Good communication, organisation, and collaboration skills
- Mandatory experience querying/transforming data with SQL
- Ideally experience with Python
- Familiarity with data visualisation tools (Metabase, Tableau, Looker, or similar)
Tasks
- Support data-driven decision making
- Collaborate with Analytics Engineers and Data Analysts
- Ensure data models are accurate and updated
- Foster a culture of continuous learning
- Transform and deploy data products
- Apply version control and continuous integration
- Test and document data products
- Provide clean data models to users
- Model data for business stakeholders
- Optimize workflows for analysts and business users
- Create tests for datasets
- Guarantee data quality
- Build and manage data models for BI tools
Education
- Vocational certificationOR
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Metabase
- Tableau
- Looker
Benefits
Additional Allowances
- Personal development budget
- Work from home budget
- Premium N26 bank account subscription
- N26 subscriptions for friends and family
- Relocation package
Corporate Discounts
- Fitness and wellness discounts
Learning & Development
- Language app subscription
Public Transport Subsidies
- Public transportation subsidy
More Vacation Days
- Additional annual leave per year of service
Purpose-Driven Work
- High degree of autonomy
Modern Equipment
- Access to cutting edge technologies
Other Benefits
- Visa support
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Transforming and deploying data products for a global digital banking platform. SQL querying and transformation skills required. Personal development budget, fitness discounts, language app subscription.
Requirements
- First work experiences in Data Analyst, Data Engineer, Software Engineer, Analytics Engineer, or quantitative discipline
- Basic understanding of ETL/ELT processes and data warehousing architecture
- Good communication, organisation, and collaboration skills
- Mandatory experience querying/transforming data with SQL
- Ideally experience with Python
- Familiarity with data visualisation tools (Metabase, Tableau, Looker, or similar)
Tasks
- Support data-driven decision making
- Collaborate with Analytics Engineers and Data Analysts
- Ensure data models are accurate and updated
- Foster a culture of continuous learning
- Transform and deploy data products
- Apply version control and continuous integration
- Test and document data products
- Provide clean data models to users
- Model data for business stakeholders
- Optimize workflows for analysts and business users
- Create tests for datasets
- Guarantee data quality
- Build and manage data models for BI tools
Education
- Vocational certificationOR
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Metabase
- Tableau
- Looker
Benefits
Additional Allowances
- Personal development budget
- Work from home budget
- Premium N26 bank account subscription
- N26 subscriptions for friends and family
- Relocation package
Corporate Discounts
- Fitness and wellness discounts
Learning & Development
- Language app subscription
Public Transport Subsidies
- Public transportation subsidy
More Vacation Days
- Additional annual leave per year of service
Purpose-Driven Work
- High degree of autonomy
Modern Equipment
- Access to cutting edge technologies
Other Benefits
- Visa support
About the Company
N26
Industry
FinancialServices
Description
N26 has reimagined banking for today’s digital world, building a global banking platform that eliminates physical branches and hidden fees.
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