Senior Marketing Data Engineer

London / Madrid / Malaga  Office - Hybrid: 4 days in the office, 1 day working from home

Stack: Python, SQL, Airflow, dbt, DuckDB, GCP, DLT, Docker, Statsig, Mixpanel.

Are you ready to be an Eburian?

Why Ebury?

At Ebury, we don't just move money; we move the boundaries of what Fintech can achieve. Our strategic growth is now focused on building the intelligence layer that powers how we connect with our customers around the world. We are looking for a Senior Data Engineer to partner directly with Product and Marketing to architect the data capabilities that power every interaction with our prospects and clients.

You will be the primary technical partner for the Product Manager of the Marketing domain, owning the solution end-to-end. From architecting the ETLs that ingest raw signals to delivering the analysis that drives growth, you will be responsible for the full lifecycle that turns marketing & UX data into actionable insights.

The Challenge: Total Digital Traceability

We are at an inflection point where we need to unite global marketing, product, and onboarding data into a cohesive ecosystem. Your mission is to build the pipelines and data models that enable end-to-end funnel visibility and real-time customer insights.

The vision: build an "intelligence engine" that powers segmentation, attribution, and lifecycle automation across our MarTech landscape (CRM, Marketing Automation, Analytics).

Our Toolkit:

• Orchestration: Airflow (Cloud Composer) is our backbone.
• Integration: Expert handling of third-party APIs (e.g., Salesforce, HubSpot, Braze, Segment) to ingest and sync high-fidelity customer data.
• Smart Ingestion: Leveraging DLT (Data Load Tool) to build seamless and scalable pipelines.
• Cloud Power: Full GCP suite (GKE, Cloud Run, BigQuery).
• Modeling & Quality: We use dbt at scale, integrating DuckDB to enforce bulletproof Data Contracts.
• DevOps Culture: Dockerized environments and solid CI/CD are our standard in Github Actions.

What You'll Do ️

• Master Traffic Allocation & Routing: Design the logic and infrastructure to track leads from specific marketing campaigns and ensure they are correctly allocated to the right teams worldwide.
• UX Data to Insights: Capture and process granular user interaction data (clicks, sessions, events) to help Product teams understand usage patterns and improve the digital experience.
• Architect the MarTech Ecosystem: Design ELT/ETL pipelines that integrate our CRM, marketing automation, and ad platforms into a unified data layer.
• Enable End-to-End Traceability: Work with Product to model data that connects top-of-funnel marketing activity directly to revenue, solving the "black box" of attribution.
• Engineering Excellence: Apply top-tier software practices (SDLC, RFCs, unit testing) to ensure our customer data platform is scalable and reliable.

About You

You'll be a great fit if you have +5 years of experience with:

• Python & SQL Mastery: Deep command of both, specifically in handling complex JSON payloads and API integrations.
• Inbound & Outbound Tooling: You have hands-on experience working with data from major marketing platforms (e.g. Salesforce, HubSpot, Braze, Outreach) and understand their data schemas.
• Traceability Expert: You understand the technical challenges of tracking users across devices and channels (cookies, UTMs, identity resolution) and converting that into clean data.
• Business Partner: You are commercially minded and want to see how your traffic allocation logic drives revenue.
• Fluent in English: We are a global team!

Bonus Points: 

• Experience with clickstream data processing (e.g., Snowplow, Segment, GA4 raw data).
• Spanish language skills (a plus for office life in Madrid!).

What We Offer 

• Competitive Salary + Performance-based discretionary bonus.
• Other Benefits: Private health insurance, flexible remuneration, and a day off on your birthday.
• Career Progression: A well-structured career path with clear opportunities for growth.
• Vibrant Culture: Join a collaborative environment in our new Madrid office where Data Engineers, Data Scientists, Analytics Engineers, and Analysts work as one.
• Continuous Learning: Personal development through certifications and specialized training.

Excited about the role but don't tick every single box? Apply anyway! At Ebury, we value potential, proactivity, and a growth mindset over a perfect checklist. 

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