Monetka tech stack

Monetka builds mostly with SQL, Python, 1C, Java. Its stack also includes MS SQL, PostgreSQL, Cognos, QlikSense. SQL is named in 16 of the 16 job postings Monetka published in the last 12 months (100%). Counted by Alion from the job postings of Monetka, updated Sep 29, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 29, 2026
Technologies in use
23
Postings analysed
16
Open now
14
Modernity
73 /100

What programming languages does Monetka use?

SQL is named in 100% of job postings at Monetka, followed by Python (19%), 1C (13%), Java (13%).

SQL 16 100% required in 75% · 14 open now · since Aug 2026
Python 3 19% required in 100% · 3 open now · since Sep 2026
1C 2 13% required in 100% · 2 open now · since Sep 2026
Java 2 13% optional · 1 open now · since Aug 2026
JavaScript 2 13% optional · 1 open now · since Aug 2026
Node JS 2 13% optional · 1 open now · since Aug 2026

What frameworks and libraries does Monetka use?

React.js is named in 13% of job postings at Monetka.

React.js 2 13% optional · 1 open now · since Aug 2026

What databases does Monetka use?

MS SQL is named in 63% of job postings at Monetka, followed by PostgreSQL (63%), Firebird (25%), MySQL (25%).

MS SQL 10 63% required in 90% · 8 open now · since Aug 2026
PostgreSQL 10 63% required in 90% · 8 open now · since Aug 2026
Firebird 4 25% required in 100% · 3 open now · since Aug 2026
MySQL 4 25% required in 100% · 3 open now · since Aug 2026
Oracle 4 25% required in 100% · 3 open now · since Aug 2026
ClickHouse 3 19% required in 100% · 3 open now · since Sep 2026
Trino 1 6% required in 100% · 1 open now · since Sep 2026

What cloud and platforms does Monetka use?

Cognos is named in 25% of job postings at Monetka, followed by QlikSense (25%), Power BI (25%), Spark (19%).

Cognos 4 25% required in 100% · 4 open now · since Sep 2026
QlikSense 4 25% required in 100% · 4 open now · since Sep 2026
Power BI 4 25% required in 75% · 4 open now · since Sep 2026
Spark 3 19% required in 100% · 3 open now · since Sep 2026
Superset 3 19% required in 100% · 3 open now · since Sep 2026
Amazon S3 1 6% required in 100% · 1 open now · since Sep 2026

What developer tools does Monetka use?

pySpark is named in 13% of job postings at Monetka, followed by dbt (6%).

pySpark 2 13% required in 50% · 2 open now · since Sep 2026
dbt 1 6% required in 100% · 1 open now · since Sep 2026

Which engineering practices does Monetka ask for?

ETL/ELT is named in 25% of job postings at Monetka.

ETL/ELT 4 25% required in 100% · 4 open now · since Sep 2026

What does each Monetka team work with?

The technologies each team's postings require most often, with the number of postings that require them.

Analytics

8 postings
SQL7
MS SQL5
PostgreSQL5
ClickHouse2
Cognos2
Power BI2

Data Science

4 postings
Firebird4
MS SQL4
MySQL4
Oracle4
PostgreSQL4
SQL4

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How modern is the Monetka stack?

Modern 73/100

Monetka scores 73 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.

Questions about the Monetka tech stack

What programming languages does Monetka use?

The languages named in Monetka job postings are SQL (100%), Python (19%), 1C (13%), Java (13%), JavaScript (13%), as a share of the 16 postings of the last 12 months.

Does Monetka use Cognos?

Yes. Cognos is named in 4 of 16 job postings (25%) and required in 4 of them.

What cloud and platforms does Monetka use?

The cloud and platforms named in Monetka job postings are Cognos (4), QlikSense (4), Power BI (4) (postings in brackets).

What skills do you need for a Analytics job at Monetka?

Analytics postings at Monetka most often require SQL (7), MS SQL (5), PostgreSQL (5), ClickHouse (2), out of 8 postings in the last 12 months.

Is the Monetka tech stack changing?

No new technology has appeared in Monetka job postings in the last six months.

How modern is the Monetka tech stack?

Monetka scores 73 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.

How does Alion know the Monetka tech stack?

Alion reads every job posting Monetka publishes and tags the technologies each one names. The figures on this page count the 16 postings of the last 12 months and were updated on Sep 29, 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, "Monetka tech stack: 23 technologies from 16 job postings", as of Sep 29, 2026. https://alion.io/company/monetka/technologies

Licence: CC BY-SA 4.0JSON