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Data Engineer 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?

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 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 €150 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 500+ 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 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 (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.


HOW you will contribute to the company


- As a Data Engineering Manager, you will be part of the Data Engineering team (10+ people), inside the Data department (20+ people).

- You will contribute technically to the design and implementation of data solutions (streaming, ETL, etc), and work hand in hand with data scientists and analysts to tailor analytics and machine learning 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.


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 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.


Within 3 months:

- 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).


Within 6 months:

- 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.


Who are we looking for?

You’re the right candidate if you:

- Have had previous experiences in Data Engineering, ideally in scale-up environments (4-5 years)

-Have at least 2 years of experience managing Data Engineers

- Are seasoned working with Python and cloud technologies (ideally AWS)

- Are looking for a hands-on management role (around 50%)

- Are confortable collaborating with cross-functional stakeholders beyond the data team

- Like being challenged and solving complex problems (accounting is complex in Europe)

- Have strong communication skills and are capable of articulating your ideas clearly

- Are Fluent in English - French is a plus


What does the recruitment process look like?

- A first interview with our Talent Acquisition Manager (20-30 mn)

- 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)

- A last interview with our Head of Data and our CTO to discuss your management experience and our company culture (60 min)


We make sure we move fast; you can expect the recruitment process with us to last between 15 and 25 days in total.


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 langage 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 (foot, running, climbing...), we love to hang out and have a drink together (Thursday afterwork drinks on our rooftop is a usual thing), twice-a-year we hold company seminars (last time we went on a trip to the French Alps and it was fabulous!)


Closing words

We have tried to give you as much details 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.


If you’re hesitating, we encourage you to apply anyway: worst case scenario, you might lose a few minutes, and in the best case, it will be the start of a meaningful and long-lasting collaboration.


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. If anything, diversity makes us a more fun place to work at.


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.


Average salary estimate

$80000 / YEARLY (est.)
min
max
$70000K
$90000K

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What You Should Know About Data Engineer Manager 🇪🇺, Pennylane

Are you ready to take your career to the next level as a Data Engineer Manager at Pennylane? We're on the lookout for a passionate leader who wants to make a real impact in the financial lives of millions of entrepreneurs across France and soon, Europe! At Pennylane, we pride ourselves on being a groundbreaking Fintech company that provides revolutionary accounting and financial software. With over 200,000 SMEs relying on our platform, we’re deeply committed to utilizing data as a production asset to enhance user experiences. In this pivotal role, you’ll not only guide a talented team of data engineers but also work closely with data scientists, product managers, and software engineers to create and implement cutting-edge data solutions. Whether you're designing tailored analytics or overseeing our data platforms, your contributions will be crucial in propelling our innovative vision forward. As a Data Engineer Manager, you can expect a supportive environment that values collaboration and continuous growth. With the opportunity to mentor and nurture talent while managing exciting projects, you’ll drive our mission to make accounting seamless for businesses everywhere. If you enjoy solving complex problems and leading from the front, Pennylane is the right place for you! Join us, bring your expertise, and help shape the future of financial software in Europe!

Frequently Asked Questions (FAQs) for Data Engineer Manager 🇪🇺 Role at Pennylane
What are the responsibilities of a Data Engineer Manager at Pennylane?

As a Data Engineer Manager at Pennylane, you'll play a critical role in designing and implementing data solutions, managing a team of skilled engineers, and ensuring the integrity and quality of data across the organization. Your responsibilities will involve collaborating closely with data scientists and product managers to tailor analytics and machine learning projects, while also fostering a motivating team environment.

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What qualifications are needed for the Data Engineer Manager position at Pennylane?

To qualify for the Data Engineer Manager position at Pennylane, candidates should ideally have 4-5 years of experience in Data Engineering with at least 2 years of management experience. Familiarity with Python, AWS, and cloud technologies is essential. Strong communication skills and a hands-on approach to management, as well as the ability to collaborate across teams, are also crucial.

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What is the company culture like for Data Engineer Managers at Pennylane?

The company culture at Pennylane is built on trust, autonomy, and proactive collaboration. Data Engineer Managers are encouraged to foster a positive atmosphere within their teams while working closely with cross-functional teams. With a vibrant social community and an inclusive work environment, Pennylane focuses on continuous improvement and employee well-being.

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What technologies should a Data Engineer Manager be familiar with at Pennylane?

A Data Engineer Manager at Pennylane should be well-versed in technologies such as AWS, Terraform, and various data stacking solutions for streaming and batch processing. Familiarity with scheduling and data warehousing techniques will also be important to successfully lead data engineering initiatives.

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How does the recruitment process work for a Data Engineer Manager at Pennylane?

At Pennylane, the recruitment process for a Data Engineer Manager consists of a series of interviews, starting with a preliminary discussion with the Talent Acquisition Manager, followed by case study and past project interviews, concluding with a round with senior leadership. This process is designed to assess both technical expertise and alignment with our company culture.

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Common Interview Questions for Data Engineer Manager 🇪🇺
Can you describe your management style as a Data Engineer Manager?

When discussing your management style, it's helpful to highlight how you balance hands-on leadership with empowering your team. Emphasize your focus on collaboration, open communication, and enabling team members to take ownership of their projects.

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What experience do you have with data solutions implementation?

In answer to this question, reflect on specific projects you’ve led or contributed to regarding data solutions. Discuss your technical expertise and the collaborative steps you took to ensure successful outcomes and data integrity.

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How do you ensure data quality and integrity in your projects?

To ensure data quality, elaborate on methodologies you've utilized, such as data validation processes, regular audits, and fostering a culture of accountability among team members regarding data accuracy.

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What challenges have you faced as a Data Engineer Manager and how did you overcome them?

When describing challenges, focus on specific situations and detail the resolution processes you implemented. Highlight your problem-solving skills and illustrate how you encouraged teamwork in tackling those obstacles.

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How do you stay updated with the latest trends in Data Engineering?

Discuss your strategies for staying informed, such as attending conferences, participating in online courses, and following influential thought leaders in the data engineering space. This shows your commitment to professional growth.

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Describe a successful data project you managed and its impact.

Select a relevant project and outline its objectives, your role, and the end results. Be specific about the impact it achieved for the company or its users, demonstrating your capabilities in managing successful initiatives.

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How do you approach collaboration with cross-functional teams?

Elaborate on your strategies for effective collaboration, mentioning communication tools, regular check-ins, and how you align goals with other stakeholders to ensure project success and shared accountability.

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What methodologies do you employ for team growth and skills development?

Discuss how you facilitate professional development for your team through mentorship programs, training opportunities, and encouraging attendance at industry events to help them grow in their roles and advance their careers.

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How would you prioritize tasks and projects within your team?

Share your approach for prioritizing tasks, such as using project management tools, assessing project impact and effort, and incorporating team input to ensure alignment with company objectives.

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What role does feedback play in your management approach?

Talk about the importance of feedback within your team dynamics—highlight how you encourage a culture of constructive feedback, both giving and receiving, to foster improvement and adaptability.

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Full-time, remote
DATE POSTED
January 10, 2025

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