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Data Engineer for Corporate & Investment Banking(m/w/x)
Designing a value-centric Data Hub, integrating diverse internal and external data sources into reliable layers for scalability. Proficiency in Spark, Python, SQL, ETL pipelines, and Data Mesh knowledge required. 30-day annual remote work, flexible hours.
Requirements
- Product Engineer mindset with data engineering experience
- Proficiency in Spark, Python, and SQL
- Understanding of distributed systems and ETL pipelines
- Familiarity with Parquet, Delta Tables, and storage
- Knowledge of Data Mesh and dbt
- Experience with CI/CD, GitHub, and governance
- Motivation, proactivity, and analytical skills
- Effective communication and stakeholder collaboration skills
- Adaptability in agile and complex environments
- Familiarity with AWS Pulsar and banking processes
- Hands-on experience in Databricks
- Knowledge of Ontology, Semantics, and Graph Databases
- Knowledge of Large Language Models (LLMs)
Tasks
- Design a value-centric Corporate and Investment Banking Data Hub
- Collaborate with product experts to identify critical data needs
- Integrate internal and external data sources into reliable layers
- Ensure system scalability and low-latency performance
- Implement frameworks for data quality and operational stability
- Navigate regulatory landscapes like GDPR and the EU AI Act
- Adhere to enterprise-grade documentation standards
- Innovate solutions using AI models and graph databases
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Spark
- Python
- SQL
- Airflow
- Databricks Asset Bundles
- Snowflake
- Parquet
- Delta Tables
- dbt
- GitHub
- AWS Pulsar
- Databricks
- Graph Databases
- Large Language Models
Benefits
Flexible Working
- Flexible hours
- Work-from-home options
- 30-day annual remote work
Learning & Development
- Continuous learning
- Trainings
Career Advancement
- Proactive career development
Diverse Work
- Challenging work
Free or Subsidized Food
- Subsidized canteen
Mental Health Support
- Well-being programs
Healthcare & Fitness
- Health check-ups
- Sport allowances
Corporate Discounts
- Discounts
- Exclusive banking terms
Public Transport Subsidies
- Subsidized public transport pass
Additional Allowances
- Child allowances
Generous Parental Leave
- Gender-neutral parental leave
Childcare
- Bilingual company kindergarten
- Holiday childcare
Other Benefits
- Work permit support
Not a perfect match?
- Raiffeisen Bank InternationalFull-timeWith HomeofficeExperiencedWienfrom 64,500 / year
- Raiffeisen Bank International
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Data & Integration Engineer(m/w/x)
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Senior Data Scientist/ML Engineer/AI Engineer(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 67,400 / year
Data Engineer for Corporate & Investment Banking(m/w/x)
Designing a value-centric Data Hub, integrating diverse internal and external data sources into reliable layers for scalability. Proficiency in Spark, Python, SQL, ETL pipelines, and Data Mesh knowledge required. 30-day annual remote work, flexible hours.
Requirements
- Product Engineer mindset with data engineering experience
- Proficiency in Spark, Python, and SQL
- Understanding of distributed systems and ETL pipelines
- Familiarity with Parquet, Delta Tables, and storage
- Knowledge of Data Mesh and dbt
- Experience with CI/CD, GitHub, and governance
- Motivation, proactivity, and analytical skills
- Effective communication and stakeholder collaboration skills
- Adaptability in agile and complex environments
- Familiarity with AWS Pulsar and banking processes
- Hands-on experience in Databricks
- Knowledge of Ontology, Semantics, and Graph Databases
- Knowledge of Large Language Models (LLMs)
Tasks
- Design a value-centric Corporate and Investment Banking Data Hub
- Collaborate with product experts to identify critical data needs
- Integrate internal and external data sources into reliable layers
- Ensure system scalability and low-latency performance
- Implement frameworks for data quality and operational stability
- Navigate regulatory landscapes like GDPR and the EU AI Act
- Adhere to enterprise-grade documentation standards
- Innovate solutions using AI models and graph databases
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Spark
- Python
- SQL
- Airflow
- Databricks Asset Bundles
- Snowflake
- Parquet
- Delta Tables
- dbt
- GitHub
- AWS Pulsar
- Databricks
- Graph Databases
- Large Language Models
Benefits
Flexible Working
- Flexible hours
- Work-from-home options
- 30-day annual remote work
Learning & Development
- Continuous learning
- Trainings
Career Advancement
- Proactive career development
Diverse Work
- Challenging work
Free or Subsidized Food
- Subsidized canteen
Mental Health Support
- Well-being programs
Healthcare & Fitness
- Health check-ups
- Sport allowances
Corporate Discounts
- Discounts
- Exclusive banking terms
Public Transport Subsidies
- Subsidized public transport pass
Additional Allowances
- Child allowances
Generous Parental Leave
- Gender-neutral parental leave
Childcare
- Bilingual company kindergarten
- Holiday childcare
Other Benefits
- Work permit support
About the Company
Raiffeisen Bank International
Industry
FinancialServices
Description
The company is committed to providing an excellent customer experience and values diversity and inclusion in its workforce.
Not a perfect match?
- Raiffeisen Bank International
Data Engineer for Corporate & Investment Banking(m/w/x)
Full-timeWith HomeofficeExperiencedWienfrom 64,500 / year - Raiffeisen Bank International
AI Engineer for Corporate & Investment Banking(m/w/x)
Full-timeWith HomeofficeExperiencedWienfrom 64,500 / year - Raiffeisen Bank International
AI Engineer for Corporate & Investment Banking(m/w/x)
Full-timeWith HomeofficeExperiencedWienfrom 64,500 / year - Boehringer Ingelheim
Data & Integration Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedWienfrom 64,170 / year - Raiffeisen Bank International
Senior Data Scientist/ML Engineer/AI Engineer(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 67,400 / year