Raiffeisen Bank International
Data Engineer for Corporate & Investment Banking(m/w/x)
Full-timeWith HomeofficeExperienced
Wien
from 64,500 / year
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BOBoehringer Ingelheim
Data & Integration Engineer(m/w/x)
Wien
from 64,170 / year
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Building and maintaining scalable data pipelines for AI/ML use cases in pharmaceutical research. Proficiency with Apache ecosystem, AWS data services, and Snowflake expected. Additional days off, subsidized staff restaurant.
Requirements
- Bachelor's/Master's degree in Computer Science, Engineering, related field, or equivalent proven experience as Data Engineer, Software Developer, or similar role
- Proficiency with Apache ecosystem (Spark, Parquet, Iceberg, Kafka, Airflow)
- Advanced SQL expertise for data modeling, optimized queries, and performance improvement
- Hands-on experience with AWS data services (Kinesis, Glue, Appflow, Lambda, S3)
- Hands-on experience with Snowflake
- Hands-on experience with dbt (dbt labs) for data pipelines
- Strong analytical skills with unstructured datasets
- Excellent English written and verbal communication skills
Tasks
- Design scalable data pipelines
- Develop scalable data pipelines
- Maintain scalable data pipelines
- Design ETL processes
- Develop ETL processes
- Maintain ETL processes
- Collaborate with data architects and modelers
- Collaborate with IT team members
- Define cloud-based data architecture strategy
- Evolve cloud-based data architecture strategy
- Optimize data storage solutions
- Manage data storage solutions
- Optimize data integrations (e.g., S3, Snowflake, dbt, Snaplogic)
- Manage data integrations (e.g., S3, Snowflake, dbt, Snaplogic)
- Ensure data quality, integrity, security, and accessibility
- Utilize AWS cloud services for data engineering workflows
- Monitor data pipelines for performance
- Optimize data pipelines for performance
- Monitor data pipelines for scalability
- Optimize data pipelines for scalability
- Monitor data pipelines for cost efficiency
- Optimize data pipelines for cost efficiency
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Spark
- Parquet
- Iceberg
- Kafka
- Airflow
- SQL
- Kinesis
- Glue
- Appflow
- Lambda
- S3
- Snowflake
- dbt
Benefits
Flexible Working
- Home office
- Flexible working hours
More Vacation Days
- Additional days off
Free or Subsidized Food
- Subsidized staff restaurant
- Vegetarian and vegan options
Learning & Development
- Training and development opportunities
Healthcare & Fitness
- Health promotion programs
Public Transport Subsidies
- Public transport ticket
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Boehringer Ingelheim 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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BOBoehringer Ingelheim
Data & Integration Engineer(m/w/x)
Wien
from 64,170 / year
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Building and maintaining scalable data pipelines for AI/ML use cases in pharmaceutical research. Proficiency with Apache ecosystem, AWS data services, and Snowflake expected. Additional days off, subsidized staff restaurant.
Requirements
- Bachelor's/Master's degree in Computer Science, Engineering, related field, or equivalent proven experience as Data Engineer, Software Developer, or similar role
- Proficiency with Apache ecosystem (Spark, Parquet, Iceberg, Kafka, Airflow)
- Advanced SQL expertise for data modeling, optimized queries, and performance improvement
- Hands-on experience with AWS data services (Kinesis, Glue, Appflow, Lambda, S3)
- Hands-on experience with Snowflake
- Hands-on experience with dbt (dbt labs) for data pipelines
- Strong analytical skills with unstructured datasets
- Excellent English written and verbal communication skills
Tasks
- Design scalable data pipelines
- Develop scalable data pipelines
- Maintain scalable data pipelines
- Design ETL processes
- Develop ETL processes
- Maintain ETL processes
- Collaborate with data architects and modelers
- Collaborate with IT team members
- Define cloud-based data architecture strategy
- Evolve cloud-based data architecture strategy
- Optimize data storage solutions
- Manage data storage solutions
- Optimize data integrations (e.g., S3, Snowflake, dbt, Snaplogic)
- Manage data integrations (e.g., S3, Snowflake, dbt, Snaplogic)
- Ensure data quality, integrity, security, and accessibility
- Utilize AWS cloud services for data engineering workflows
- Monitor data pipelines for performance
- Optimize data pipelines for performance
- Monitor data pipelines for scalability
- Optimize data pipelines for scalability
- Monitor data pipelines for cost efficiency
- Optimize data pipelines for cost efficiency
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Spark
- Parquet
- Iceberg
- Kafka
- Airflow
- SQL
- Kinesis
- Glue
- Appflow
- Lambda
- S3
- Snowflake
- dbt
Benefits
Flexible Working
- Home office
- Flexible working hours
More Vacation Days
- Additional days off
Free or Subsidized Food
- Subsidized staff restaurant
- Vegetarian and vegan options
Learning & Development
- Training and development opportunities
Healthcare & Fitness
- Health promotion programs
Public Transport Subsidies
- Public transport ticket
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Boehringer Ingelheim 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
Boehringer Ingelheim
Industry
Pharmaceuticals
Description
The company is focused on delivering lasting value to patients through innovative therapies and early clinical development.
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