Senior Data Engineer Data Platform (Remote)

Job 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 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 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 4 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 €150 millions, grow from 7 cofounders to 500+ happy Pennylaners, build an international environment with more than 25 nationalities, earn the trust of thousands of customers and accounting firms, and obtain outstanding ratings.

Already more than 200,000 small and medium-sized enterprises (SMEs) and over 3,500 accounting firms use Pennylane in France!

WHY this position is of utmost importance to reach our mission

At Pennylane, every decision that is not backed by data is likely to be challenged.

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 Senior Data Engineer, you will have a pivotal role in large projects, bringing your data architecture and engineering expertise to help us meet our high delivery standards.

HOW you will contribute to the company

As a Senior Data Engineer, you will join the Platform and Services team, which is part of our data engineering community (10+ people) within our dynamic Data department (25+ people).

• You will continue designing our data platform, from data ingestion and validation to transport, storage, and exposure to consumers.
  
  
• You will collaborate with other data engineering teams focused on delivering analytics services, sharing technical knowledge and defining best practices, and guiding them in the configuration of core systems such as data warehousing and orchestration.
  
  
• You will work hand in hand with machine learning engineers to design and scale automation and intelligence features into the Pennylane application.
  
  
• You will partner with software engineers to ensure data quality and integrity, acting as a role model to establish data as a core part of our production systems.
  
  
• You will drive optimizations on our core components to maintain an effective balance between scalability and costs.
  
  
• You will shape an engineering culture with high standards in the data team by defining best practices, architecture patterns and security measures.
  
  

WHAT you can expect from your life at Pennylane

Within one month:

• 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.
  
  

Within 3 months:

• You will be fully in charge of items in our roadmap, defining and prioritizing your tasks autonomously.
  
  
• You will be comfortable with our technical stack (AWS services, infrastructure as code, batch processing, scheduling, data warehousing).
  
  
• You will have a good understanding of the data in your dedicated scope.
  
  
• You will contribute to larger cross-team projects.
  
  

Within 6 months:

• You will play an active role in defining the team’s roadmap.
  
  
• You will steer collaborative efforts aiming at improving our stack, data platform and data modelling practices.
  
  
• You will start driving 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, and responsibilities to design and implement new processes, tools and best practices.

What does the recruitment process look like?

• A first interview with Maxime, Tech Recruiter (30 minutes).
  
  
• A case study interview to cover a technical topic closely related to one of our priorities (75 minutes).
  
  
• A past project interview to hear about your technical experience (60 minutes).
  
  
• An interview with our Tech & Product founders to discuss our company culture (45 minutes).
  
  

What do we do to make your work life easier?

• You will have a great healthcare cover (Alan Blue) to take care of yourself and your family.
  
  
• You will have lunch credits (Swile card) to buy your favorite food every day.
  
  
• You will be able to work from our wonderful office in the center of Paris, or from any WeWork in Europe.
  
  
• If you have a fully remote contract, you will have a budget to turn your home into a more comfortable workspace, as well as a monthly allowance to work from a coworking space whenever you feel like it.
  
  
• You will get 10 additional days off (to the 25 standard ones) to rest and do what you love each year.
  
  
• Through our partner Gymlib, you will have access to 8000 fitness spaces and more than 300 activities related to wellness.
  
  
• You will have access to Busuu to perfect your English or learn a new language of your choice.
  
  
• You will get the latest Apple equipment.
  
  
• You will be part of a vibrant social community: we do lots of sports together, we love to hang out and have a drink together, twice-a-year we hold company seminars.
  
  

Closing words

We have tried to give you as much detail as we could about the purpose, missions, and environment of this role; it is now up to you to tell us if you think this is a position in which you could a) have fun and b) bring value to our company.

We also want to emphasize that we fully embrace diversity and that we’re doing our best to create a safe and inclusive environment.

We are committed to providing an equal employment opportunity regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are.

To end with a humble illustration of our commitment, we’ve recently signed the Pacte Parité to set concrete goals in building a better and more inclusive workplace in the years to come.

Required Skill Profession

Bases De Datos, Analítica Y Bi