Too Good To Go tech stack

Too Good To Go builds mostly with SQL, Python, Go, JavaScript. Its stack also includes Looker, AWS, Amazon Redshift, Metaflow. SQL is named in 5 of the 13 job postings Too Good To Go published in the last 12 months (38%). Counted by Alion from the job postings of Too Good To Go, updated Oct 18, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 18, 2026
Technologies in use
43
Postings analysed
13
Open now
12
Modernity
83 /100
New in 6 months
8

What programming languages does Too Good To Go use?

SQL is named in 38% of job postings at Too Good To Go, followed by Python (23%), Go (15%), JavaScript (15%).

SQL 5 38% required in 80% · 4 open now · since Aug 2026
Python 3 23% required in 100% · 3 open now · since Aug 2026
Go 2 15% required in 100% · 2 open now · since Jul 2026
JavaScript 2 15% optional · 2 open now · since Aug 2026
Java 1 8% required in 100% · 1 open now · since Jul 2026

What frameworks and libraries does Too Good To Go use?

Metaflow is named in 15% of job postings at Too Good To Go, followed by PyTorch (8%), Scikit-learn (8%), TensorFlow (8%).

Metaflow 2 15% required in 50% · 2 open now · since Aug 2026
PyTorch 1 8% required in 100% · 1 open now · since Aug 2026
Scikit-learn 1 8% required in 100% · 1 open now · since Aug 2026
TensorFlow 1 8% required in 100% · 1 open now · since Aug 2026
Spring Boot 1 8% optional · 1 open now · since Jul 2026

What databases does Too Good To Go use?

Amazon Redshift is named in 23% of job postings at Too Good To Go, followed by ElasticSearch (8%), MySQL (8%), Redis (8%).

Amazon Redshift 3 23% required in 33% · 3 open now · since Aug 2026
ElasticSearch 1 8% required in 100% · 1 open now · since Jul 2026
MySQL 1 8% required in 100% · 1 open now · since Jul 2026
Redis 1 8% required in 100% · 1 open now · since Jul 2026
Snowflake 1 8% required in 100% · 1 open now · since Aug 2026
OpenSearch 1 8% optional · 1 open now · since Aug 2026

What cloud and platforms does Too Good To Go use?

Looker is named in 38% of job postings at Too Good To Go, followed by AWS (23%), Braze (23%), Power BI (15%).

Looker 5 38% required in 100% · 4 open now · since Feb 2026
AWS 3 23% required in 100% · 3 open now · since Jul 2026
Braze 3 23% required in 100% · 3 open now · since Feb 2026
Power BI 2 15% required in 100% · 1 open now · since Oct 2026
Tableau 2 15% required in 100% · 1 open now · since Oct 2026
Amazon S3 2 15% required in 50% · 2 open now · since Jul 2026
Azure 1 8% required in 100% · 1 open now · since Aug 2026
ElevenLabs 1 8% required in 100% · 1 open now · since Jul 2026
Show all (15)
GCP1
GitHub Actions1
Kubernetes1
Perplexity1
AWS Lambda1
Amazon Kinesis1
GitHub1

What developer tools does Too Good To Go use?

dbt is named in 23% of job postings at Too Good To Go, followed by Docker (23%), Canva (15%), Parcel (15%).

dbt 3 23% required in 100% · 3 open now · since Aug 2026
Docker 3 23% required in 67% · 3 open now · since Jul 2026
Canva 2 15% required in 100% · 2 open now · since Jul 2026
Parcel 2 15% required in 100% · 2 open now · since Aug 2026
Terraform 1 8% required in 100% · 1 open now · since Aug 2026
Jenkins 1 8% optional · 1 open now · since Aug 2026

What AI and ML technologies does Too Good To Go use?

ChatGPT is named in 8% of job postings at Too Good To Go, followed by Gemini (8%).

ChatGPT 1 8% required in 100% · 1 open now · since Oct 2026
Gemini 1 8% required in 100% · 1 open now · since Jul 2026

Which engineering practices does Too Good To Go ask for?

A/B Testing is named in 23% of job postings at Too Good To Go, followed by CI/CD (8%), GitOps (8%), Machine Learning (8%).

A/B Testing 3 23% required in 100% · 3 open now · since Feb 2026
CI/CD 1 8% required in 100% · 1 open now · since Aug 2026
GitOps 1 8% required in 100% · 1 open now · since Aug 2026
Machine Learning 1 8% required in 100% · 1 open now · since Aug 2026

What does each Too Good To Go team work with?

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

Marketing

4 postings
Braze3
Canva2
Looker2

Analytics

3 postings
Looker3
SQL3
Power BI2
Tableau2

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How is the Too Good To Go 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
Power BIOct 2026
TableauOct 2026
SQLAug 2026
PythonAug 2026
dbtAug 2026
Amazon RedshiftAug 2026
MetaflowAug 2026
ParcelAug 2026

How modern is the Too Good To Go stack?

Cutting-edge AI adopter 83/100

Too Good To Go scores 83 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: 2; legacy ones: 0.

How common is the Too Good To Go stack in its industry?

Share of the 1,357 companies in the same industries, whose stack Alion knows, that use each technology.

Looker10%
SQL36%
AWS24%
Amazon Redshift4%
Braze3%
Python34%
Amazon S38%
Go11%
JavaScript30%
Metaflow0%

What sets Too Good To Go apart

Amazon Redshift4%
Braze3%

Questions about the Too Good To Go tech stack

What programming languages does Too Good To Go use?

The languages named in Too Good To Go job postings are SQL (38%), Python (23%), Go (15%), JavaScript (15%), Java (8%), as a share of the 13 postings of the last 12 months.

Does Too Good To Go use Metaflow?

Yes. Metaflow is named in 2 of 13 job postings (15%) and required in 1 of them.

What cloud and platforms does Too Good To Go use?

The cloud and platforms named in Too Good To Go job postings are Looker (5), AWS (3), Braze (3) (postings in brackets).

What skills do you need for a Marketing job at Too Good To Go?

Marketing postings at Too Good To Go most often require Braze (3), Canva (2), Looker (2), out of 4 postings in the last 12 months.

Is the Too Good To Go tech stack changing?

Yes. Power BI, Tableau, SQL, Python first appeared in Too Good To Go job postings in the last six months.

How modern is the Too Good To Go tech stack?

Too Good To Go scores 83 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: 2; legacy ones: 0.

How does Alion know the Too Good To Go tech stack?

Alion reads every job posting Too Good To Go publishes and tags the technologies each one names. The figures on this page count the 13 postings of the last 12 months and were updated on Oct 18, 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, "Too Good To Go tech stack: 43 technologies from 13 job postings", as of Oct 18, 2026. https://alion.io/company/too-good-to-go/technologies

Licence: CC BY-SA 4.0JSON