Amsterdam | Engineering | Full-time


Engineering Group picture
Love always drives what we do, we’re passionate about our jobs, care about our colleagues, and are devoted to our customers. Our mission is to become the most loved European financial service provider. We’re already expanding rapidly into new countries, and we’re not done yet. We have big plans. And that’s where you come in.
We are searching for an experienced Analytics Engineer to come and help continue building out Mollie’s BI platform, which helps business teams access, visualise and make better business decisions using data.

Your opportunity

As a member of our Analytics Engineering team, you will help shape the data landscape across Mollie. Working closely alongside our product teams, you will model their data into easy-to-use, curated data assets to address the analytical needs of different business teams.
Beyond your role as an expert data modeller, you will also help drive the long-term health of our analytics platform. You will do this by making sure our data assets are built with engineering best practices (like performance, scalability and reusability) in mind, and through helping shape and drive adoption of best practices around data.
With this role comes great responsibility, but don’t worry - you are not on your own! You will be working within Mollie’s Data Domain, alongside some of the brightest data engineers, analytics engineers and analysts out there. On top of this, you will have a selection of the latest and greatest tools (BigQuery, dbt, Airflow, sqlfluff, Looker) at your disposal. 

Are you up for the challenge?

What you'll be doing
  • Data model development: curate and publish robust dbt models to support analytical requirements from Product, Operations, Marketing and Finance
  • Technical leadership: help shape our development standards and promote engineering best practices (like modularity, scalability and reusability)
  • Performance optimisation: utilise BigQuery and Looker to understand and optimise the costs and performance associated with our data transformations
  • Data quality & observability: advocate for the importance of data quality through making sure our data models are well described and easy to find
  • Data literacy: promote business-wide data literacy through coaching other teams, and disseminating your knowledge through presentations and blog posts
  • Data governance: work with the wider Data Domain to help evolve Mollie’s data governance framework to meet ever changing requirements

What you'll bring
  • 2 - 5 years experience in a technical data role
  • SQL and data modelling mastery
  • Experience as a BI tool developer (preference towards Looker)
  • Experience working in a Cloud Environment e.g. Google Cloud or AWS
  • Experience working with Github / Gitlab
  • University degree in technical subject (Maths, Science, Engineering etc.)
  • Fluency in English

Nice to haves
  • Experience working with data transformation tools e.g. dbt, Dataform
  • Experience working with orchestration tools e.g. Airflow
  • Experience with a scripting language e.g. Python
  • Experience in online payments or fintech

  1. 5 reasons why you should be working here
    Person standing in the streets
  2. We bring open hearts and open minds
    Mollies walking in the street
  3. We grow what we know and learn what we don’t
    Person behind laptop
  4. We are driven by customer love
    People working behind laptop in office space
  5. We celebrate the journey together
    People looking back at the mollieverse
  6. We know how to have fun
    All Mollies at a party and raising their hands

About Engineering

We’re in the driving seat. Without us, there is no Mollie. So we’re given the freedom to explore. Make mistakes, learn, and grow. Because that’s how we’ll become the most loved financial service provider.

Our stack
Full stack
Google BigQuery
Node JS logo
Google Cloud
Visual Studio Code
Google Pub/Sub Sink

Diversity, Equity, and Inclusion

These three words tell you everything about Mollie… Driven. By. Love. Our driving force, our reason for being… to become the world’s most loved financial services provider. But not just loved by our customers… by our people too. At Mollie we embrace what makes you unique, and nurture a culture that feels like home. We celebrate diversity of people and perspectives every day and are proud to be an equal opportunity employer. We do not discriminate. Every new Mollie is hired on the basis of qualifications, merit, and business need. We bring open hearts and open minds, we don’t judge each other for our differences, we embrace the unique traits that make our products and culture stronger. There is an energy at Mollie that can’t be contained. We are proud to be here, and inspired by the problems we have left to solve. So come join the ride.

Find out more
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Who you’ll be working with

  1. Isabelle
    Head of Data
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  2. Ana
    Data Scientis
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  3. Joren
    Analytics Engineer
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    Joren Hoog Antink
  4. Anique
    Senior Data Analyst
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    Anique Trip
  5. Darragh
    Senior Data Engineer
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    Darragh Copley


Amsterdam canalsAmsterdam canals
Bike lease planBike lease plan
Healthcare insuranceHealthcare insurance
Health insurance discountHealth insurance discount
Learning and development programLearning and development
Friday drinksFriday drinks
MacBook ProMacBook
Noise Cancelling HeadphonesNoise cancelling headphones
Work from home budgetWork from home budget
Referral bonusReferral bonus
Supersize screenSupersize screen
Complimentary baby daysComplimentary baby days
Sport eventsSport events
Wellbeing programWellbeing program
Birthday offBirthday off
Company partiesCompany parties
Pension contributionPension contribution
Travel reimbursementTravel reimbursement
Health insurance contributionHealth insurance contribution
Employee option planEquity plans

Every good relationship starts with a click. Let’s make sure this one will last.

  1. For starters

    Our Talent Acquisition team and hiring manager will review your application, and respond within 2 weeks.

  2. The "inbetween"

    If you seem like a Mollie-in-the-making, we’ll invite you to a screening call so we can learn more about each other.

  3. Are you the one?

    If all goes well, you’ll have two or more interviews with the hiring team. And if it’s a highly technical role, we’ll also assess the specific skills you’ll need.

Apply now✍️Apply now🏆Apply now🐈Apply now🥳Apply now🍀Apply now🦄
Apply now✍️Apply now🏆Apply now🐈Apply now🥳Apply now🍀Apply now🦄
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We're always looking for talent to go on a journey with. So what are you waiting for?

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