Analytics Engineer (Data Quality & Tracking) at BrainRocket

Valencia, Valencian Community, Spain -

Full Time

Start Date

Immediate

Expiry Date

30 Mar, 26

Salary

0.0

Posted On

30 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Product Analytics, Event-Based Tracking, Databases, Analytical Warehouses, SQL, Python, Data Modeling, Schemas, Data Pipelines, Frontend Collaboration, Backend Collaboration, Data Quality, Data Validation, Tracking Design, ETL, Data Monitoring

Industry

Software Development

Description

BrainRocket is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. ‍Young, ambitious, and unstoppable, we've already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don’t follow formats. We shape them. We build what works, launch it fast, and make sure it hits. ❗️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! By submitting your application, you agree to our Privacy Policy.

Responsibilities

The Analytics Engineer will analyze product features from a user behavior perspective and define analytics requirements for tracking. They will also validate data quality and ensure the integrity of the data pipeline.