Senior Data Engineer - Analytics

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 aligned with your vision?

Then Pennylane is the right place for you !

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.

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.

🌍 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

🚀 Already more than 900,000 small and medium-sized enterprises (SMEs) and over 6000 accounting firms use Pennylane in France!

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.

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 streaming and infrastructure, sharing technical knowledge and best practices.

You will learn everything about our company, our teams, and our vision during the first onboarding week.

You will get familiar with our stack, and have delivered a few small projects which will give you a concrete taste of our tools & processes.

You will be given time to meet your future stakeholders, and gain a deep knowledge of our product and operations.

You will be fully in charge of items in our roadmap, defining and prioritising your tasks autonomously.

You will be comfortable with our data abstractions, core business logic and technical stack (ETL orchestration, data warehousing, event tracking, visualisation tools).

You will have a good understanding of the data in your dedicated scope.

You will contribute to larger cross-team projects.

You will proactively contribute to the team’s roadmap.

You will work with engineers and data practitioners on improving our stack, data platform and data modelling practices.

You will share your learnings and best practices within the team.

And beyond: the data team will continue growing with the company

Which means:

- Opportunities to recruit and mentor new team members,

- Increased accountability in project leadership,

- Responsibilities to design and implement new processes, tools and best practices to make sure that your team works even more efficiently.

- A first interview with our Talent Acquisition Manager

-A case study interview to discuss a topic closely related to one of our priorities (75 min)

-A past project interview to hear about your experience (60 min)

- An interview with our Tech & Product leaders to discuss our company culture (45 min)