Senior Data Engineer

• A bachelor degree in a quantitative field (e.g Engineering, Computer Science, Maths, Statistics or Physics).
• Advanced SQL skills, including experience with CTEs, query optimization, and large-scale data warehouses.
• Advanced experience building and maintaining data pipelines in production environments, using tools such as Airflow, Docker, S3, and CI/CD workflows.
• Advanced experience in Python for developing production-level data analytics solutions.
• Basic to intermediate experience integrating LLMs or working with generative AI tools and workflows.
• A collaborative team player who builds trust, communicates openly, and contributes to shared success.
• A fast learner who is proactive and comfortable working with ambiguity.
• Detail-oriented, with a strong commitment to accuracy and high-quality outcomes.
• Pragmatic, with the ability to balance short-term delivery needs with long-term technical quality.

• Experience creating and maintaining dashboards in Tableau or a similar BI tool.
• Background in the Mobile Gaming industry.
• Background in Marketing Analytics.

• Hybrid working from home/office system. So, what does this mean? All we ask is that you live within commuting distance of our office in Barcelona so you are able to come into the office for important meetings/events.
• Relocation support to help you move to Barcelona (if you're not already here).
• An impressive 25 days annual leave, not including public holidays.
• 5 additional days annual leave on Christmas.
• A very generous ticket-restaurant to restore some life-points.
• Private medical insurance for you and your family, to keep your health bar full.
• Choose from the latest IOS or Android device upon joining (phone or tablet).
• Free language lessons (English & Spanish ).
• Spotify Premium to add that special soundtrack that every adventure deserves.
• Legendary social events & parties to let off some steam.
• Players develop...Oops, sorry! People development is key for us: an amazing budget just for you to spend skilling up your abilities & knowledge to achieve real growth opportunities!

Coming to work in the office? Don't worry - we have you covered. Check out some of our onsite benefits:

• Want to stay in shape? We have state of the art gym facilities so you can level up your build stats.
• A massive gaming room equipped with all consoles and games you could ask for.
• Book an appointment with our onsite physiotherapist for your aches and pains.
• Drop by our onsite hairdressers for a trim (and forget your wallet; it's a Guild perk).

The list just goes on & on... so get your game on &

Join our Central Analytics team to build high-quality data marts, tools, and AI-powered workflows that shape player experience and drive game growth. You'll work alongside talented and experienced Analytics Engineers, partnering closely with game and marketing analysts to deliver solutions that make a real difference, all using a modern, cutting-edge technical stack.

To truly make an impact, you'll need to learn quickly, thrive in a fast-paced environment, and collaborate closely within the team and with the stakeholders.

• Write and optimize complex SQL queries to support, experimentation, and model feature engineering across large-scale player datasets.
• Design, build, and maintain cross-game data marts, providing clean and transformed data ready for Analysts to use.
• Develop scalable, reusable, and maintainable code, tools, and frameworks that can be adopted across different game teams.
• Partner with game analytics teams to co-design, build, and maintain data tools and products used across multiple applications.
• Build and maintain end-to-end AI pipelines to support the day to day Analysts tasks.
• Share knowledge across the team by educating game analysts on coding and software engineering best practices.

• We are committed to continuous improvement, you will never stop learning.
• We are a collaborative team that learns from each other every day.
• We run a large production pipeline spanning ETLs, analytical tools and AI/ML models.
• We focus on delivering innovative solutions to real-world problems.