Data Engineering Manager

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 800,000 small and medium-sized enterprises (SMEs) and over 6000 accounting firms use Pennylane in France!

At Pennylane, every decision that is not backed by data is likely to be challenged (when data is available of course). 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 improve Pennylane’s user experience.

By joining us as a Data Engineering Manager, you will have a pivotal role in large projects, bringing your management and data engineering expertise to help us meet our high delivery standards.

- As a Data Engineering Manager, you will lead our Data Platform team (5 people), and be part of the Data Engineering team (20+ people) inside the Data department (50+ people).

- You will define the team’s roadmap based on business priorities and technical requirements, and lead the team’s progress.

-You will contribute technically to the design and implementation of data solutions (streaming, ETL, etc) and middleware components (CI/CD, core components as a service), and work hand in hand with machine learning engineers and analysts to tailor data solutions to their needs.

- You will collaborate with Product Managers to ensure the highest impact and quality of data engineering work, as well as the best atmosphere and motivation in the team.

- You will grow your team continuously, and team up with other managers to set up the right culture and processes to enable people.

- You will work closely with software engineers - the most critical data producers - to guarantee data quality and integrity, and promote a culture where data is seen as a production system.

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

- You will get to know your team and start taking over people and technical topics.

- 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 your team.

- You will be accountable for items in our roadmap, defining and prioritizing team work autonomously.

- You will be comfortable with our technical stack (AWS, Terraform, streaming, batch, scheduling, warehousing).

- You will be involved in cross-team management initiatives.

- You will collaborate closely with Product and Tech teams to steer the team’s roadmap.

- You will work with engineers and data practitioners on improving our stack and data platform.

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

Which means:

Opportunities to recruit, mentor and manage 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 (30 min)

- 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 hear about your management experience and discuss our company culture (60 min)