Raiffeisen Bank Romania tech stack
Raiffeisen Bank Romania builds mostly with SQL, Python, Java, JavaScript. Its stack also includes PostgreSQL, Apache Kafka, Linux, Oracle. SQL is named in 7 of the 12 job postings Raiffeisen Bank Romania published in the last 12 months (58%). Counted by Alion from the job postings of Raiffeisen Bank Romania, updated Oct 13, 2026.
What programming languages does Raiffeisen Bank Romania use?
SQL is named in 58% of job postings at Raiffeisen Bank Romania, followed by Python (33%), Java (33%), JavaScript (17%).
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What frameworks and libraries does Raiffeisen Bank Romania use?
JUnit is named in 25% of job postings at Raiffeisen Bank Romania, followed by Hibernate (17%), Mockito (17%), Spring Boot (17%).
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What databases does Raiffeisen Bank Romania use?
PostgreSQL is named in 42% of job postings at Raiffeisen Bank Romania, followed by Oracle (25%), Db2 (25%), MS SQL (8%).
What cloud and platforms does Raiffeisen Bank Romania use?
Apache Kafka is named in 33% of job postings at Raiffeisen Bank Romania, followed by Linux (33%), OpenShift (25%), AWS (25%).
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What developer tools does Raiffeisen Bank Romania use?
Jenkins is named in 42% of job postings at Raiffeisen Bank Romania, followed by Docker (33%), Git (25%), Gradle (25%).
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What AI and ML technologies does Raiffeisen Bank Romania use?
ChatGPT is named in 17% of job postings at Raiffeisen Bank Romania.
Which engineering practices does Raiffeisen Bank Romania ask for?
CI/CD is named in 42% of job postings at Raiffeisen Bank Romania, followed by ETL/ELT (17%), SOAP (17%), RAG (8%).
What does each Raiffeisen Bank Romania team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
4 postingsHow does your stack fit Raiffeisen Bank Romania?
How modern is the Raiffeisen Bank Romania stack?
Raiffeisen Bank Romania scores 77 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
Companies with a stack like Raiffeisen Bank Romania
Questions about the Raiffeisen Bank Romania tech stack
What programming languages does Raiffeisen Bank Romania use?
The languages named in Raiffeisen Bank Romania job postings are SQL (58%), Python (33%), Java (33%), JavaScript (17%), Kotlin (17%), as a share of the 12 postings of the last 12 months.
Does Raiffeisen Bank Romania use JUnit?
Yes. JUnit is named in 3 of 12 job postings (25%) and required in 3 of them.
What cloud and platforms does Raiffeisen Bank Romania use?
The cloud and platforms named in Raiffeisen Bank Romania job postings are Apache Kafka (4), Linux (4), OpenShift (3) (postings in brackets).
What skills do you need for a Backend job at Raiffeisen Bank Romania?
Backend postings at Raiffeisen Bank Romania most often require Apache Kafka (2), Gradle (2), Hibernate (2), JUnit (2), out of 4 postings in the last 12 months.
Is the Raiffeisen Bank Romania tech stack changing?
No new technology has appeared in Raiffeisen Bank Romania job postings in the last six months.
How modern is the Raiffeisen Bank Romania tech stack?
Raiffeisen Bank Romania scores 77 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the Raiffeisen Bank Romania tech stack?
Alion reads every job posting Raiffeisen Bank Romania publishes and tags the technologies each one names. The figures on this page count the 12 postings of the last 12 months and were updated on Oct 13, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Raiffeisen Bank Romania tech stack: 70 technologies from 12 job postings", as of Oct 13, 2026. https://alion.io/company/raiffeisen-ro/technologies
