Product Analytics Engineer

❗️IMPORTANT: This position is on-site in Valencia, Spain.

❗️We can provide relocation assistance if you're outside of the city or country.

✅ Requirements:

• Strong understanding of product analytics and event-based tracking;
• Experience working with databases and analytical warehouses (Snowflake preferred);
• Strong SQL and Python skills;
• Solid understanding of data modeling, schemas, and data pipelines;
• Ability to translate product logic into correct data structures;
• Experience working closely with frontend, backend, product, and data teams;
• High attention to detail and strong ownership mindset.

✅ Nice to Have:

• Experience in iGaming / gaming / high-traffic consumer products;
• Familiarity with tracking tools (GA, BQ, ClickHouse);
• Experience defining tracking plans or analytics specifications;
• Basic understanding of ETL / ELT pipelines;
• Experience working with data architects or analytics platforms.

✅ Responsibilities:

✔ Product & Feature Understanding

• Analyze how new product features work from a user behavior and product logic perspective;
• Understand feature implementation on both frontend and backend levels to ensure correct tracking logic.

✔ Analytics Requirements & Tracking Design

• Define analytics requirements before feature launch, including:
• Events, attributes, and user-level data to be tracked;
• Naming conventions, schemas, and data structure.
• Work closely with product managers, frontend and backend engineers to align on tracking implementation;
• Ensure tracking is designed to support future analysis, segmentation, and business questions.

✔ Data Quality & Consistency

• Validate that data written to the database is logically correct and meaningful;
• Prevent incorrect aggregation or data pollution;
• (e.g. different bonus types merged into a single “bonus” field);
• Identify inconsistencies between product logic and recorded data.

✔ End-to-End Data Flow Validation

• Validate the full data pipeline:
• Frontend → Backend → Database → Snowflake.
• Ensure no data loss, duplication, or incorrect transformations occur.
• Collaborate closely with Data Engineers and Data Architects to:
• Align tracking with data models;
• Validate transformations and ingestion logic;
• Improve data reliability and scalability.

✔ Post-Launch Monitoring & Support

• Perform post-launch data validation and ongoing monitoring;
• Detect and investigate anomalies, missing events, or broken tracking;
• Support insight analysts by ensuring data is clean, consistent, and analysis-ready.

✔ Documentation & Enablement

• Maintain clear documentation for:
• Tracking schemas;
• Metrics definitions;
• Business logic and assumptions.
• Act as a single point of ownership for tracking and data quality standards.

✅ What We Offer:

🌴 23 days of paid vacation leave;

🏥 Six additional days of undocumented sick leaves;

🏥 Medical Insurance;

🥳 Birthdays, milestones and employee anniversaries celebrations;

🏢 Modern offices with snacks and all the essentials;

🎉 Social Club and more than 50 events per year;

🍳 Partial coverage of breakfasts and lunches;

💻 Learning and development opportunities and interesting, challenging tasks

✈️ Relocation package (tickets, staying in a hotel for up to 2 weeks, and visa relocation support for our employees and their family members);

📚 Opportunity to develop language skills, with partial compensation for the cost of English;

📈 Competitive remuneration level with annual review;

🤝 Teambuilding activities.

Bold moves start here. Make yours. Apply today!