TL;DR
Senior Marketing Data Engineer (Fintech): Architecting and building data pipelines and models to unite global marketing, product, and onboarding data into a cohesive ecosystem with an accent on end-to-end funnel visibility and real-time customer insights. Focus on designing ETLs, integrating third-party APIs, and enabling total digital traceability across the MarTech landscape to drive growth and revenue.
Location: Hybrid role (4 days in office, 1 day working from home). Must be based in London, Madrid, or Malaga.
Company
hirify.global is a global fintech firm empowering businesses to expand internationally through tailored financial solutions and is among the fastest-growing companies in its sector.
What you will do
- Design infrastructure and logic to track leads from marketing campaigns and allocate them to the correct teams worldwide.
- Capture and process granular user interaction data to help Product teams understand usage patterns and improve the digital experience.
- Architect ELT/ETL pipelines that integrate CRM, marketing automation, and ad platforms into a unified data layer.
- Work with Product to model data that connects top-of-funnel marketing activity directly to revenue.
- Apply top-tier software practices (SDLC, RFCs, unit testing) to ensure the customer data platform is scalable and reliable.
Requirements
- +5 years of experience with Python and SQL mastery, specifically in handling complex JSON payloads and API integrations.
- Hands-on experience working with data from major marketing platforms (e.g., Salesforce, HubSpot, Braze, Outreach) and understanding their data schemas.
- Understanding of the technical challenges of tracking users across devices and channels (cookies, UTMs, identity resolution).
- Commercially minded with a focus on how traffic allocation logic drives revenue.
- Fluent in English.
Nice to have
- Experience with clickstream data processing (e.g., Snowplow, Segment, GA4 raw data).
- Spanish language skills.
Culture & Benefits
- Competitive salary and performance-based discretionary bonus.
- Private health insurance and flexible remuneration, plus a day off on your birthday.
- A well-structured career path with clear opportunities for growth.
- Join a collaborative environment in the new Madrid office with Data Engineers, Data Scientists, Analytics Engineers, and Analysts.
- Personal development through certifications and specialized training.
- Commitment to inclusion, diversity, and belonging, with active employee networks.
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