# Analytics Engineer at Mollie

Mollie is hiring an Analytics Engineer for a remote role open to applicants in Italy. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/d350bd3d-de0d-48ae-87de-38ec8dc6b97d?utm_medium=ai-agent).

AI Level 1, AI centrality 15 out of 100. Remote (Milan).

## Details

- Company: [Mollie](https://jobsbylevel.com/companies/mollie)
- AI level: AI Level 1 (score 15 out of 100)
- Location: Remote (Milan)
- Posted: October 19, 2026
- Apply: https://jobsbylevel.com/go/d350bd3d-de0d-48ae-87de-38ec8dc6b97d?utm_medium=ai-agent

## Description

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 dashboards that monitor critical payment metrics and track payment method performance across the Payments domain Build and maintain BI tooling that makes it easy for end users to visualize and extract the data they need Work closely with engineers to understand how Mollie's money movements work and make sure the data is correct. Partner with stakeholders across Merchant Finance, Treasury, and the Payments domain to define and track key financial data, and enable daily reconciliation Create compelling data visualisations and narratives that communicate your findings clearly to technical and non-technical audiences, through presentations, reports, and memos Implement data quality validation checks, testing frameworks, and proactive monitoring to ensure high trust in the data used for analysis and decision making Contribute to a culture of technical rigour and data literacy by mentoring team members on analytics best practices and keeping documentation well organised and accessible What you'll bring Strong technical foundation in SQL and Python; experience with data modelling and automation Strong experience with cbt; additional experience in BigQuery/GCP and Airflow is a plus Ability to zoom out and to zoom in to support implementation, often on the same day Skilled at stakeholder management, especially across technical and non-technical teams Experience in financial data and financial processes is a big plus 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. You'll get regular feedback and performance reviews to support your

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/analytics-engineer-at-mollie-4cbff7

Source: https://jobsbylevel.com/jobs/analytics-engineer-at-mollie-4cbff7

## Cite this page

Level. https://jobsbylevel.com/jobs/analytics-engineer-at-mollie-4cbff7.

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