Data Engineer & Data Analyst (f/m/x) at Raiffeisen Bank International AG
At a glance
- Company
- Raiffeisen Bank International AG
- Location
- Austria
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Raiffeisen Bank International AG job
- 🏢 Raiffeisen Bank International AG has 32 jobs here, 32 with visa sponsorship see all
- 📊 2 Data Engineer jobs in Austria in the last 60 days see them
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Develop and maintain scalable data pipelines for large, heterogeneous datasets (regulatory reporting & data warehouse).
- Build and operate Data Warehouse solutions on MS SQL Server and cloud (Databricks/Delta Lake on AWS).
- Ingest and transform data from APIs, databases and external systems into standardized data products.
- Implement automation, testing and validation to support regulatory requirements (e.g., BCBS 239, ECB RDARR guidance).
- Ensure data quality, governance and end-to-end lineage in collaboration with data owners and analysts.
- Contribute to architecture and process decisions; help onboard cloud- and microservices-based platforms.
Requirements:
- Several years of hands-on development experience with Python and SQL; willingness to deepen Databricks skills.
- Practical knowledge of ETL/ELT tools/workflows (Delta Live Tables, dbt, Autoloader or similar) and data modeling best practices.
- Experience with relational and NoSQL databases (MS SQL Server, PostgreSQL, DB2 or similar).
- Familiarity with version control (GitHub) and CI/CD concepts for data pipelines.
- Experience running data pipelines on cloud-based processing platforms and working with data governance/quality practices.
- Strong teamwork, proactive mindset and understanding of regulatory reporting principles.
Responsibilities
The role involves developing and maintaining scalable data pipelines and warehouse solutions using Python, SQL, and cloud-based technologies. You will also ensure data quality and governance while supporting regulatory reporting requirements like BCBS 239.
Requirements
Candidates should have several years of hands-on experience in Python and SQL development along with knowledge of ETL/ELT processes and data modeling. Familiarity with CI/CD practices, version control, and cloud-based data processing platforms is also required.
Key skills
- Python — in 1200 other listings on The Stack
- SQL — in 545 other listings on The Stack
- Databricks — in 46 other listings on The Stack
- ETL/ELT — in 20 other listings on The Stack
- Data modeling — in 184 other listings on The Stack
- Data warehousing — in 56 other listings on The Stack
- MS SQL Server — in 3 other listings on The Stack
- Cloud platforms — in 69 other listings on The Stack
- CI/CD
- Version control
- Data quality
- Data lineage
- Regulatory reporting
- NoSQL
- PostgreSQL
- DB2
On The Stack (as of 2026-11-05)
Frequently asked questions about Raiffeisen Bank International AG
Is this Data Engineer & Data Analyst (f/m/x) role still open?
It was posted on 2026-11-03 and is listed as active on The Stack. Confirm on Raiffeisen Bank International AG's application page before applying.
Does Raiffeisen Bank International AG offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Raiffeisen Bank International AG's site.
Where is this role located?
The listing gives the location as Austria. It is marked on-site.
What skills does this role ask for?
The listing names: Python, SQL, Databricks, ETL/ELT, Data modeling, Data warehousing, MS SQL Server, Cloud platforms, CI/CD, Version control, Data quality, Data lineage, Regulatory reporting, NoSQL, PostgreSQL, DB2.