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Analytics Engineer

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · Milan

Employer listed it 4 days ago · Added 6 days ago

First listed 6 days ago and still open.

Salary

Not stated

Location

Hybrid · Milan

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Data

The employer did not publish a salary, and we have too few comparable roles to estimate one.

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
Location eligibility not confirmed
Contract
Not mentioned in the advert
Experience asked for
Not mentioned in the advert
Pay
You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way.

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around Milan, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "Milan, Hybrid"
  • Listing mentions "Hybrid"

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

  • This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

Build with us

Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe.

Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable.

With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions.

We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of.

Sound like your kind of place? Let's build together.

Your impact

Mollie has an important role and responsibility in the financial ecosystem, handling customer funds with a high degree of diligence and scrutiny. The financial services domain sits at the core of Mollie, it orchestrates all money movements to power all of Mollie's financial products.

Analytics engineering plays an important role in this ecosystem, as these core financial processes handle massive, complex volumes of data originating from different internal systems. By establishing robust data pipelines, maintaining automated data quality checks, and fostering deep collaboration with cross functional partners in Engineering and Treasury & Merchant Finance, the Analytics Engineering team ensures full data integrity and enables the daily reconciliation of Mollie's books.

You will be working on creating and maintaining critical data assets that enable Mollie to reconcile their books. This involves creating and maintaining solid dbt data models from raw source data to consumable mart tables. You will play a part in creating and maintaining tooling to visualize and report the required data, mostly in our BI tooling that makes it easy for the end user to extract the required data. To do this, you will be working closely with engineers to understand the inner workings of Mollie's money movements and, most importantly, get the correct data. You will also be collaborating with Merchant Finance & Treasury to make sure they can do daily reconciliation in our BI tooling.

What you'll ship

Build and maintain dbt data models, from raw source data to consumable mart tables, powering tooling and dashboards that monitor critical financial processes.

Work closely with engineers to understand how Mollie's money movements and financial processes work to make sure you model the data correctly

Partner with stakeholders across Merchant Finance &, Treasury domain to define and track key financial data, and enable daily reconciliation

Implement data quality validation checks, testing frameworks, and proactive monitoring to ensure high trust in the data used for analysis and decision making

What you'll bring

Strong technical foundation in SQL; experience with data modelling and automation

Strong level of dbt; experiene in BigQuery/GCP and Airflow are a plus.

Ability to take a helicopter view to zoom in and out to determine what really matters

Skilled at stakeholder management, especially across technical and non-technical teams. Willingness to challenge senior stakeholders on their assumptions and requests.

Experience in financial data and financial processes is a big plus; experience in fintech and/or banking.

Business-aware, impact-driven, and curious

Grow your way

At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.

Requirements

  • ·Strong technical foundation in SQL; experience with data modelling and automation
  • ·Strong level of dbt; experiene in BigQuery/GCP and Airflow are a plus.
  • ·Ability to take a helicopter view to zoom in and out to determine what really matters
  • ·Skilled at stakeholder management, especially across technical and non-technical teams. Willingness to challenge senior stakeholders on their assumptions and requests.
  • ·Experience in financial data and financial processes is a big plus; experience in fintech and/or banking.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Mollie, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 7d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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