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Senior Data Engineer Alma
CDI
Paris
Pas de télétravail
Salaire : non spécifié
Votre nouvelle entreprise
380 collaborateurs
FinTech / InsurTech
Âge moyen : 34
Créée en 2018
60%
40%
At Alma, we are convinced that trade must be well balanced to be sustainable. Because finance has a key role in business, our mission is to put it back in its rightful place : at the service of merchants and consumers!
That’s why we create financial products that empower merchants to sell more, and help consumers purchase better products while never encouraging them to get over-indebted.
Our tech solutions are accessible to all, easy to implement, and that eliminate purchase friction.
For merchants, our instalment and deferred payment solutions are excellent ways of increasing customers’ loyalty and satisfaction, as well as generating up to 20% extra sales revenues without any risk.
For consumers, the purchase experience is enhanced (4.8/5 on Trustpilot) and Alma helps them handle their budget easily. They pay later, Alma pays the merchants right away.
We are the leader in France, on track to win the European market on the (very) powerful Buy Now Pay Later (BNPL) industry, as we’re now processing payments in 10 European countries. Over the past 8 years, more than 25000+ active merchants have chosen Alma to be their innovative BNPL solution, and we have served over 10 million consumers.
The team has grown from 2 to 380+ people, and we raised a €115M Series C in early 2022 to accelerate our growth. Today, Alma is part of the Next40, France’s index of the 40 most promising tech companies!
Vos missions au quotidien
The Data team is composed of two teams: Data analysts and Data engineers. We are looking for a Senior Data Engineer for our data engineering team.
As a senior data engineer, your role is to be a motor in designing a scalable and reliable data platform. The goal is to provide the best data experience for our business user by providing them trustworthy data from any source.
🎯 Main missions & Data Stack
As senior Data engineer, you will:
- Work on Data Warehouse maintenance and enhancement
- Create performant pipelines from External tools/Internal DBs to Data Warehouse
- Actively share knowledge and document insights to support continuous team improvement and collaboration
- Participate in working processes enhancement (CI, Deployment)
- Work hand in hand with Data Analysts and Business owners
Our Data stack includes:
- Google Cloud Platform
- Composer (Google Managed Airflow)
- DBT
- Airbyte
- Bigquery
- PostgresSQL (Cloud SQL)
- Terraform
- GithubCI
About you
- You are a real team player enjoying collaboration and working in Pair/Mob Programming
- You are able to fully own a project. We voluntarily choose not to have project managers
- You want to work in a fast, high-growth scale-up environment
- You have interest in understanding and solving Business data challenges
- You are comfortable in English
Good to know
- Most of our team members are working full-remote. You can choose to do so as well, join our offices or have a mix of the two
- Offices in Paris (10ème arrondissement), Lille, Rennes, Nantes, Toulouse, Marseille, Bordeaux, Arcachon, Lyon, Nice, Madrid, Milano, Berlin, Amsterdam, Bruxelles
- Part-time work possible (80%)
Interview Process
- A video-call with our HR team
- A video-call (1h) with two Data Engineers
- A video-call (30’) with our Head of data
Avantages
Chiffres clés
En bref
Année de création
2018
Nombre d'employés
380
Âge moyen
34
Genre
40%
60%
