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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Analytics Engineer

Requirements

  • Strong analytics & modeling: You have a proven ability to build reliable and scalable data models using SQL and data principles. Hands-on experience with a modern data stack (e.g. dbt, Snowflake, BigQuery) is essential.
  • Deep commercial analysis: You don't just build tables, you ask "Why?". You have strong experience in product or commercial analytics, using data to answer ambiguous questions around customer behavior, performance drivers, and growth opportunities.
  • Impactful communication: You excel at translating analysis into clear, actionable narratives for stakeholders. You confidently present your findings and influence decisions across a range of audiences.

Nice to Have

  • Prior experience working within Payments or Fintech industry
  • Hands-on experience analyzing and optimizing complex funnels, with a strong understanding of conversion drivers and drop-off.

What You'll Be Doing

  • Data modeling & architecture: Build and maintain robust, performant, and user-friendly data models that can power dashboarding to monitor critical payment metrics and track payment method performance for the Payments domain.
  • Collaborate with product and engineering: Work closely with product managers and engineers to embed data into the core of payments products. You’ll help translate complex payment flows into actionable insights, driving adoption of data products across teams.
  • Commercial insights: Partner with stakeholders to define and track key revenue and performance drivers, and use data to drive improvements in features and product adoption, customer engagement, and product performance.
  • Data quality: Ensure high trust in payments data by implementing data quality validation checks, testing frameworks, and proactive monitoring.
  • Data culture & enablement: Contribute to a culture of technical rigor and data literacy. You will help mentor team members on analytics best practices and ensure knowledge is well-documented and accessible.

Perks and Benefits

  • Regular feedback and performance reviews to support your development
  • Fair and transparent salary reviews
  • Opportunities for growth, skill development, and career progression
  • Promotion opportunities within the company
  • Hiring from within for new roles and projects
AI Summary ✨
Mollie logo

Mollie

Lisbon, Portugal

Experience: Senior
Posted: April 10, 2026
Last seen: 25 minutes ago
Kubernetes
Rest
dataengineering

Why we track Mollie

Mollie is an Amsterdam-based payments company serving European businesses. They've grown rapidly and the engineering team works on payment processing, checkout optimization, and financial infrastructure. One of the Netherlands' most successful tech companies.

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