Analytics Engineer; Data Quality & Tracking

Analytics Engineer (Data Quality & Tracking)

Brain Rocket 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.

• 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.

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

• 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
  .

• 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.

• 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.

• 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
  .

• Business logic and assumptions.
• Act as a
  single point of ownership for tracking and data quality standards.

🌴 23 days of paid vacation leave;

🏥 Six additional days of undocumented sick leaves;

🥳 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;

Bold moves start here. Make yours. Apply today!