Mercedes-Benz.io
Custom Software Development · Automotive Software

Mercedes-Benz.io tech stack

Mercedes-Benz.io builds mostly with Python, SQL, JavaScript, Kotlin. Its stack also includes Databricks, Spark, Pandas. Python is named in 5 of the 6 job postings Mercedes-Benz.io published in the last 12 months (83%). Counted by Alion from the job postings of Mercedes-Benz.io, updated Nov 4, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 4, 2026
Technologies in use
38
Postings analysed
6
Open now
3
Modernity
74 /100
New in 6 months
2

What programming languages does Mercedes-Benz.io use?

Python is named in 83% of job postings at Mercedes-Benz.io, followed by SQL (67%), JavaScript (17%), Kotlin (17%).

Python 5 83% required in 100% · 3 open now · since Jun 2026
SQL 4 67% required in 100% · 2 open now · since Jun 2026
JavaScript 1 17% required in 100% · 1 open now · since Oct 2026
Kotlin 1 17% required in 100% · 1 open now · since Sep 2026
Node JS 1 17% required in 100% · 1 open now · since Oct 2026
TypeScript 1 17% required in 100% · 1 open now · since Sep 2026

What frameworks and libraries does Mercedes-Benz.io use?

Pandas is named in 17% of job postings at Mercedes-Benz.io.

Pandas 1 17% required in 100% · since Jun 2026

What cloud and platforms does Mercedes-Benz.io use?

Databricks is named in 50% of job postings at Mercedes-Benz.io, followed by Spark (50%), Azure (33%), Kubernetes (33%).

Databricks 3 50% required in 100% · 1 open now · since Jun 2026
Spark 3 50% required in 33% · 1 open now · since Jun 2026
Azure 2 33% required in 100% · 1 open now · since Jul 2026
Kubernetes 2 33% required in 100% · since Oct 2026
Power BI 2 33% required in 100% · 1 open now · since Jun 2026
AWS 1 17% required in 100% · since Oct 2026
AWS Lambda 1 17% required in 100% · since Oct 2026
Amazon ECS 1 17% required in 100% · since Oct 2026
Show all (12)
Amazon EKS1
Azure DevOps1
Datadog1
GitHub1

What developer tools does Mercedes-Benz.io use?

pySpark is named in 50% of job postings at Mercedes-Benz.io, followed by Docker (33%), Azure Data Factory (17%), Model Context Protocol (17%).

pySpark 3 50% required in 100% · 1 open now · since Jun 2026
Docker 2 33% required in 100% · since Oct 2026
Azure Data Factory 1 17% required in 100% · since Oct 2026
Model Context Protocol 1 17% required in 100% · 1 open now · since Sep 2026

Which engineering practices does Mercedes-Benz.io ask for?

A/B Testing is named in 50% of job postings at Mercedes-Benz.io, followed by ETL/ELT (33%), Machine Learning (33%), AI Agents (17%).

A/B Testing 3 50% required in 100% · 2 open now · since Jun 2026
ETL/ELT 2 33% required in 100% · 1 open now · since Jun 2026
Machine Learning 2 33% required in 100% · since Jun 2026
AI Agents 1 17% required in 100% · 1 open now · since Sep 2026
Agentic Workflows 1 17% required in 100% · 1 open now · since Sep 2026
CI/CD 1 17% required in 100% · since Oct 2026
Context Engineering 1 17% required in 100% · 1 open now · since Sep 2026
Embeddings 1 17% required in 100% · 1 open now · since Sep 2026
Show all (15)
Incident Management1
LLM Guardrails1
Multi-Agent Systems1
Platform Engineering1
RAG1
SLI/SLO/SLA1
Structured Outputs1

What does each Mercedes-Benz.io team work with?

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

Analytics

3 postings
Python3
SQL3
Databricks2
Power BI2
pySpark2

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How is the Mercedes-Benz.io 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
DockerOct 2026
KubernetesOct 2026

How modern is the Mercedes-Benz.io stack?

Modern 74/100

Mercedes-Benz.io scores 74 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 common is the Mercedes-Benz.io stack in its industry?

Share of the 5,886 companies in the same industries, whose stack Alion knows, that use each technology.

Python47%
SQL47%
Databricks9%
Spark11%
Azure34%
Kubernetes33%
Power BI12%
AWS38%
AWS Lambda9%
Amazon ECS6%

Questions about the Mercedes-Benz.io tech stack

What programming languages does Mercedes-Benz.io use?

The languages named in Mercedes-Benz.io job postings are Python (83%), SQL (67%), JavaScript (17%), Kotlin (17%), Node JS (17%), as a share of the 6 postings of the last 12 months.

Does Mercedes-Benz.io use Databricks?

Yes. Databricks is named in 3 of 6 job postings (50%) and required in 3 of them.

What cloud and platforms does Mercedes-Benz.io use?

The cloud and platforms named in Mercedes-Benz.io job postings are Databricks (3), Spark (3), Azure (2) (postings in brackets).

What skills do you need for a Analytics job at Mercedes-Benz.io?

Analytics postings at Mercedes-Benz.io most often require Python (3), SQL (3), Databricks (2), Power BI (2), out of 3 postings in the last 12 months.

Is the Mercedes-Benz.io tech stack changing?

Yes. Docker, Kubernetes first appeared in Mercedes-Benz.io job postings in the last six months.

How modern is the Mercedes-Benz.io tech stack?

Mercedes-Benz.io scores 74 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 Mercedes-Benz.io tech stack?

Alion reads every job posting Mercedes-Benz.io publishes and tags the technologies each one names. The figures on this page count the 6 postings of the last 12 months and were updated on Nov 4, 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, "Mercedes-Benz.io tech stack: 38 technologies from 6 job postings", as of Nov 4, 2026. https://alion.io/company/mercedes-benz-6/technologies

Licence: CC BY-SA 4.0JSON