Hi there

As Factorial continues on our mission of boosting the next generation of people-first SMB's, we're hiring a
Analytics Engineer
to help.

The Team and you

Factorial's mission is to empower businesses to make better decisions, and data is a key component in doing so.

As an Analytics Engineer at Factorial, you’ll sit at the intersection of data engineering, business intelligence, and product analytics. Our data platform is already offering the following services:
- Ingestion (SaaS APIs, DDBBs, Streams)
- Storage (Data Lake, Stream Storage)
- Catalogue (Atlan)
- Modeling (Metabolic/ DBT)
- Activation (Hightouch)
- Exploration & Visualization (Preset/PowerBI)
- On-demand Data Products (Clickhouse)

We're looking for an
Analytics Engineer
to collaborate closely with Product and our Finance teams.

The Role

At Factorial, we have a team of +150 very talented developers. We are looking for engineers who can wear many hats, abstract problems, and find creative solutions. We look for smart people who are curious, proactive and have good soft/communication skills.





We are not looking for a long list of skills and technologies. We interact with Data through
SQL on AWS
, but we use many tools to exploit data, we don’t expect you to be proficient in all of them. We believe that someone who has good aptitudes and is hungry for learning is what works best.

If you're looking for new challenges in a people-first company, this is what to expect:
- You design, build, and maintain robust, scalable data models, pipelines, and dashboard/reporting systems to support internal stakeholders across Product and Finance.
- You will help stakeholders analyse their data: as you grow more comfortable in the business domain, you will be able to ask the right questions as well as craft the queries to answer them.
- You will ensure high data quality, consistency, and reliability. Implement testing, validation, version control, and monitoring in the data flow)
- You will occasionally contr

📌 Analytics Engineer (Barcelona)
🏢 Factorial
📍 Barcelona