Lead Data Engineer
Alma
| Company | Alma |
| Category | Engineering |
| Location | Paris |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 19 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
๐งก About Alma
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 +25,000 merchants and 10 million consumers.
With 380+ Almakers and โฌ100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started!
๐ About the team
You will join the Data Engineering team, which is moving closer to the Platform organization to strengthen collaboration with SRE and Software Engineering and improve SLA standards on the data platform.
You will report to Jonathan, Engineering Manager of the SRE team, and work within a broader data community of 3 Central Data Analysts, 2 Product Data Analysts, 6 Business Analysts, and a 5-person AI team.
This position is a permanent contract (CDI) based in Paris.
๐ผ About the job
Own and scale the data platform
Build, maintain, and improve our data warehouse, transformation layer, and platform architecture (including the critical link between PostgreSQL and our GCP data lake) to make our stack faster, more reliable, and more resilient.
Raise engineering standards across the data stack
Drive CI/CD practices, staging environments, automated testing, infrastructure-as-code (Terraform), access management, and release management โ bringing a platform engineering mindset to data.
Ensure observability and platform reliability
Lead incident management, data quality monitoring, lineage, and documentation efforts to ensure the platform remains trustworthy and easy to operate for analysts, product teams, and AI practitioners.
Shape technical decisions and enable the team
Take ownership of complex architectural decisions (including tooling audits, e.g. Datastream),
Contribute to AI data use cases (BigQuery integrations with tools like Dust, Claude Code, and Nao),
Mentor other data practitioners on engineering best practices,
Share knowledge, document decisions, and contribute to raising engineering standards across the team.
๐งฐ You will work with
GCP, BigQuery, PostgreSQL, Cloud SQL, Terraform, Kubernetes, Argo Workflow, Airflow, AirByte, dbt, Python, GitHub, CI/CD, Looker, Metabase
๐งฉ About you
To succeed in this job
6+ years of experience as a Data Engineer, ideally in a fast-growing tech environment, with hands-on experience building and maintaining modern data platforms and orchestration workflows
Strong command of cloud infrastructure, infrastructure-as-code (Terraform), Kubernetes , and Python โ you're comfortable owning both the data and the platform layer
Analytical mindset with a strong capacity to challenge the status quo โ you don't just build, you question whether we're building the right thing
Fluency in French and English
And it will be nice if you also
Have specific experience with GCP and BigQuery at scale
Have worked with dbt for data transformation
Have experience operating in or alongside an SRE or Platform Engineering culture
Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience.
๐ง What's in it for you
If you join, you will be able to grow and impact on:
A pivotal moment for data at Alma โ you'll join as the team transitions toward Platform, with a m