At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers.
Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt.
As the buy now pay later leader in France and active in 10 European countries, we’ve empowered over 21,000 merchants and 8 million consumers.
With 360+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe—and we’re just getting started.
Alma is the company for you if are looking for:
Collective intelligence is the driving force behind Alma: we are looking for open-minded, curious, and ambitious people who want to actively participate in this exponential growth.
To continue to deliver an optimal purchasing experience and absolute ease of use, all teams at Alma (Tech, Product, Sales, Operations, Data, Risk, Finance, Compliance, Legal, Marketing and People) will strengthen their members to maintain the highest standards of quality and trust while pushing these innovations at Alma’s pace.
About the job
We are looking for a Data Engineer to join our Data team and help us build a scalable, reliable, and analyst-friendly data platform.
In this role, you will report to the Head of Data and work alongside another Data Engineer within a broader data community composed of 3 Central Data Analysts, 2 Product Data Analysts, 6 Business Analysts, and 5 people in the AI team. Your mission will be to strengthen the foundations of our platform while making life easier for analysts and business users across Alma.
Your missions
As a Data Engineer at Alma, your role will be to help design and improve a scalable, reliable, and secure data platform.
Your goal will not only be to build robust pipelines and infrastructure, but also to create the best possible development environment for analysts and data practitioners. This role has strong leverage because the work you do will directly improve how the wider data community ships, documents, governs, and uses data every day.
What you will do
You will contribute across platform, infrastructure, governance, and enablement topics. In particular, you will:
- Build, maintain, and improve our data warehouse and transformation layer
- Develop reliable and performant ingestion processes from internal databases and external tools into our warehouse
- Improve deployment and engineering practices across the data stack, especially around CI/CD and staging environments
- Strengthen infrastructure-as-code practices and ownership through Terraform
- Improve access management and governance across our GCP environment and analytics tooling
- Work on observability, documentation, lineage, and overall platform reliability
- Partner closely with Data Analysts, Business Analysts, Product teams, and the AI team to understand their needs and remove friction from their day-to-day work
- Share knowledge, document decisions, and contribute to raising engineering standards across the team
Our stack
Our current data stack includes:
- Google Cloud Platform
- BigQuery
- PostgreSQL / Cloud SQL
- dbt (including dbt docs, Elementary, Colibri)
- Airbyte
- Argo
- Terraform
- GitHub Actions
- Looker & Metabase
- Python
What we are looking for
We are looking for someone who combines strong technical fundamentals with a collaborative way of working.
You might be a great fit if:
- You have 3+ years of experience as a Data Engineer, ideally in a fast-growing tech environment
- You have hands-on experience building and maintaining modern data platforms and orchestration workflows
- You are comfortable working with cloud infrastructure, infrastructure as code and SQL-based transformations
- You care about reliability, maintainability, documentation, and good developer experience
- You are able to take ownership of projects from problem framing to delivery
- You are comfortable communicating in English
Interview process
Our interview process typically includes:
- A video call with our HR team
- Hiring manager interview
- A technical discussion with a Data Engineer and a Data Analyst
- A video call with the Head of Data and a Data Analyst
OUR VALUES
- Raise the bar
- Do the right thing
- Test, Learn, Repeat
- Make it happen
- Lead with humility
DIVERSITY & INCLUSION
At Alma, we're committed to fostering an environment where diversity and inclusion are at the heart of our values. Our goal is to attract and build a diverse, equal and inclusive team, where everyone feels welcome.
As an equal opportunities employer we make sure the application process and our workplace is for everyone.
