Datumo tech stack

Datumo builds mostly with Python, Java, SQL, Scala. Its stack also includes GCP, Azure, Snowflake, Google BigQuery. Python is named in 5 of the 5 job postings Datumo published in the last 12 months (100%). Counted by Alion from the job postings of Datumo, updated Oct 13, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 13, 2026
Technologies in use
35
Postings analysed
5
Open now
3
Modernity
77 /100
New in 6 months
8

What programming languages does Datumo use?

Python is named in 100% of job postings at Datumo, followed by Java (60%), SQL (60%), Scala (60%).

Python 5 100% required in 100% · 3 open now · since Feb 2026
Java 3 60% required in 100% · 2 open now · since Feb 2026
SQL 3 60% required in 100% · 2 open now · since Feb 2026
Scala 3 60% required in 100% · 2 open now · since Feb 2026
Kotlin 2 40% required in 100% · 2 open now · since Feb 2026

What frameworks and libraries does Datumo use?

Dagster is named in 40% of job postings at Datumo, followed by Flink (40%).

Dagster 2 40% optional · 1 open now · since Jul 2026
Flink 2 40% optional · 1 open now · since Feb 2026

What databases does Datumo use?

Snowflake is named in 100% of job postings at Datumo, followed by Google BigQuery (60%), BigQuery (40%).

Snowflake 5 100% required in 80% · 3 open now · since Feb 2026
Google BigQuery 3 60% required in 100% · 2 open now · since Feb 2026
BigQuery 2 40% required in 100% · 2 open now · since Feb 2026

What cloud and platforms does Datumo use?

GCP is named in 100% of job postings at Datumo, followed by Azure (100%), Databricks (100%), Kubernetes (100%).

GCP 5 100% required in 100% · 3 open now · since Feb 2026
Azure 5 100% required in 80% · 3 open now · since Feb 2026
Databricks 5 100% required in 80% · 3 open now · since Feb 2026
Kubernetes 5 100% required in 40% · 3 open now · since Feb 2026
Spark 3 60% required in 67% · 2 open now · since Feb 2026
Apache Kafka 3 60% optional · 2 open now · since Feb 2026
Airflow 2 40% optional · 2 open now · since Feb 2026
Grafana 2 40% optional · 1 open now · since Jul 2026
Show all (15)
Kubeflow2
MLFlow2
Vertex AI2
AWS1
Looker1
Power BI1
Tableau1

What developer tools does Datumo use?

Docker is named in 100% of job postings at Datumo, followed by Terraform (60%), Git (40%), Bicep (40%).

Docker 5 100% required in 40% · 3 open now · since Feb 2026
Terraform 3 60% optional · 1 open now · since Jul 2026
Git 2 40% required in 100% · 1 open now · since Jul 2026
Bicep 2 40% optional · 1 open now · since Jul 2026
Helm 2 40% optional · 1 open now · since Jul 2026
Prometheus 2 40% optional · 1 open now · since Jul 2026
dbt 2 40% optional · 1 open now · since Feb 2026

Which engineering practices does Datumo ask for?

CI/CD is named in 100% of job postings at Datumo, followed by Machine Learning (80%), ETL/ELT (60%).

CI/CD 5 100% required in 100% · 3 open now · since Feb 2026
Machine Learning 4 80% optional · 3 open now · since Feb 2026
ETL/ELT 3 60% optional · 2 open now · since Feb 2026

What does each Datumo team work with?

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

Data Science

3 postings
GCP3
Google BigQuery3
Java3
Python3
SQL3
Scala3

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How is the Datumo stack changing?

Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.

First appeared
GitJul 2026
BicepJul 2026
DagsterJul 2026
GrafanaJul 2026
HelmJul 2026
KubeflowJul 2026
MLFlowJul 2026
PrometheusJul 2026
Not named for 6 months
BigQueryFeb 2026
KotlinFeb 2026
AirflowFeb 2026

How modern is the Datumo stack?

Cutting-edge 77/100

Datumo 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: 0; legacy ones: 0.

How common is the Datumo stack in its industry?

Share of the 203 companies in the same industries, whose stack Alion knows, that use each technology.

Azure74%
Databricks53%
GCP64%
Kubernetes63%
Python81%
Snowflake45%
Apache Kafka44%
Google BigQuery29%
Java50%
SQL82%

Questions about the Datumo tech stack

What programming languages does Datumo use?

The languages named in Datumo job postings are Python (100%), Java (60%), SQL (60%), Scala (60%), Kotlin (40%), as a share of the 5 postings of the last 12 months.

Does Datumo use GCP?

Yes. GCP is named in 5 of 5 job postings (100%) and required in 5 of them.

What cloud and platforms does Datumo use?

The cloud and platforms named in Datumo job postings are GCP (5), Azure (5), Databricks (5) (postings in brackets).

What skills do you need for a Data Science job at Datumo?

Data Science postings at Datumo most often require GCP (3), Google BigQuery (3), Java (3), Python (3), out of 3 postings in the last 12 months.

Is the Datumo tech stack changing?

Yes. Git, Bicep, Dagster, Grafana first appeared in Datumo job postings in the last six months.

How modern is the Datumo tech stack?

Datumo 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: 0; legacy ones: 0.

How does Alion know the Datumo tech stack?

Alion reads every job posting Datumo publishes and tags the technologies each one names. The figures on this page count the 5 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, "Datumo tech stack: 35 technologies from 5 job postings", as of Oct 13, 2026. https://alion.io/company/datumo/technologies

Licence: CC BY-SA 4.0JSON