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Senior data engineer - data platform (remote)

buscojobs España
Publicada el 15 julio
Descripción

Madrid

EUR 50.000 - 80.000

Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)?

Are you seeking a work environment that values trust, proactivity, and autonomy?

Then Pennylane is the right place for you!

Our vision

We aim to become the most beloved financial Operating System for French SMEs (and soon, European ones).

We help entrepreneurs eliminate time-consuming tasks related to accounting and finance while providing access to key financial information for better decision-making.

About us

Pennylane is one of the fastest-growing Fintechs in France (and soon in Europe!)

In 4 years, we’ve:

* Become known as a groundbreaking accounting and financial software for small businesses and their accountants
* Raised €150 million, including from Sequoia, the renowned Silicon Valley fund that invested early in companies like Google, Facebook, Airbnb, Stripe, Paypal, and more
* Grown from 7 cofounders to 500+ employees, recognized as one of the best places to work in France (and remotely), with a 4.6/5 Glassdoor rating
* Built an international environment with over 25 nationalities, a strong remote culture, with 30% working from across Europe
* Earned trust from thousands of customers and accounting firms, with outstanding ratings

Over 200,000 SMEs and 3,500 accounting firms use Pennylane in France!

Why this position is crucial for our mission

At Pennylane, decisions backed by data are essential. Our data team makes data accessible company-wide and uses it proactively to enhance user experience.

As a Senior Data Engineer, you will play a key role in large projects, applying your expertise in data architecture and engineering to meet high standards.

How you will contribute

Joining the Platform and Services team within our data engineering community, you will:

* Design our data platform, from ingestion to exposure
* Collaborate with other data teams on analytics services and best practices
* Work with machine learning engineers to integrate automation features
* Partner with software engineers to ensure data quality and integrity
* Optimize core components for scalability and cost-efficiency
* Establish high standards and best practices in data engineering

What to expect at Pennylane

Within one month:

* Learn about our company, teams, and vision
* Familiarize with our stack and complete small projects
* Meet stakeholders and understand our product

Within three months:

* Take ownership of roadmap items
* Be comfortable with our tech stack
* Understand your data scope thoroughly
* Contribute to cross-team projects

Within six months:

* Define the team’s roadmap
* Improve our stack and practices
* Drive team standards and best practices

Beyond:

* Grow with the team, mentor new members
* Lead projects and improve processes

Recruitment process

* Initial interview with Maxime, Tech Recruiter (30 min)
* Technical case study (75 min)
* Culture interview with founders (45 min)
* Health insurance (Alan Blue)
* Lunch credits (Swile)
* Office in Paris or any WeWork in Europe, with remote options and home workspace budget
* Extra days off (10 days)
* Access to Gymlib fitness spaces and activities
* Language learning (Busuu)
* Vibrant social activities, sports, company trips, and events

Closing remarks

We hope this gives a clear picture of the role. If you see yourself fitting in and adding value, we encourage you to apply—even if you're hesitant. Diversity and inclusion are core to us, and we’ve committed to building a better, more inclusive workplace, exemplified by signing the Pacte Parité .

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