Senior Data Engineer - Analytics
Pennylane
| Company | Pennylane |
| Category | Engineering |
| Location | Paris |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 6 Mar 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)?
Are you looking for a work environment that values trust, proactivity, and autonomy?
Are our Engineering principles https://medium.com/pennylane-engineering/our-engineering-principles-ab0613a0574d aligned with your vision?
Then Pennylane is the right place for you !
Our vision
We aim to become the most beloved financial Operating System of French SMEs and Accounting Firms (and soon, European ones).
We help entrepreneurs rid themselves of time-consuming tasks related to accounting and finance while providing them with access to key financial information to assist in making the best decisions for their business.
About us
Pennylane is one of the fastest growing Fintechs in France (and soon to be in Europe!)
In 5 years of existence, we’ve managed to :
💻 Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants
💰 Raise a total of €400 millions, including from Sequoia, the famous fund from the Silicon Valley who invested early in companies like Google, Facebook, Airbnb, Stripe, Paypal and much more...
👨👩👧👦 Grow from 7 cofounders to 1000 happy Pennylaners : we’re now recognized as one of the greatest places to work in France (and also remotely), with a 4.6/5 rating on Glassdoor https://www.glassdoor.fr/Avis/Pennylane-France-Avis-E4171708.htm.
🌍 Build an international environment with more than 25 nationalities, with a strong remote-friendly culture, where 30% of the employees are already working from all parts of Europe
🤝 Earn the trust of thousands of customers and accounting firms and obtain outstanding ratings https://www.google.com/search?q=pennylane&ei=O9pOYvm0Co-blwSmhKmIAw&ved=0ahUKEwi5vsWL-4H3AhWPzYUKHSZCCjEQ4dUDCA4&uact=5&oq=pennylane&gs_lcp=Cgdnd3Mtd2l6EAMyDQgAEIAEELEDEIMBEAoyCwguEIAEEMcBEK8BMgcIABCABBAKMgcIABCABBAKMgUIABCABDIFCAAQgAQyBQgAEIAEMgcIABCABBAKMgcIABCABBAKMgcIABCABBAKOgcIABBHELADOgkIABCwAxAKEEM6CgguEMcBEK8BEAo6BggAEBYQHjoICAAQFhAKEB46DQguEIAEEMcBEK8BEApKBAhBGABKBAhGGABQ7QFY6wVgugdoAXABeACAAUiIAbMCkgEBNZgBAKABAcgBCcABAQ&sclient=gws-wiz
🚀 Already more than 900,000 small and medium-sized enterprises (SMEs) and over 6000 accounting firms use Pennylane in France!
WHY this position is of utmost importance to reach our mission
At Pennylane, data drives decisions. This culture is embraced by the leadership team, and actively promoted everywhere. The role of the data team is to make this possible by treating data like a production asset, making it available company-wide, and using it proactively to empower smarter decisions for teams and users.
By joining us as a Data Engineer, you will have a pivotal role in large projects, bringing your data modelling and engineering expertise to help us meet our high delivery standards.
HOW you will contribute to the company
As a Data Engineer, you will join the Self Service Analytics team, which is part of our data engineering community (20+ people) within our dynamic Data department (50+ people).
You will collaborate with data analysts to translate complex business requirements into robust, scalable models and data services that support making data-driven decision across the company.
You will model data as a product and shape how it is structured in our data lake across our medallion architecture for all Pennylaners to consume.
You will build and maintain our data analytics platform, handling data ingestion, validation and establishing data as a core part of our production systems.
You will contribute to our data governance initiatives, helping to maintain our data catalogue and to uphold high standards of data quality and compliance.
You will help design and implement data solutions, including ETL pipelines, batch processing systems, and data warehousing.
You will work alongside other data engineering teams focused on