> Markdown version of [/jobs/ext/4597761-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/4597761-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** Scopely - **Location:** Laza, Spain - **Contract:** Franchise - **Skills:** Airflow, Data Analysis, BigQuery, Command-Line Interface, Data Warehousing, Github, Standard Sql, Snowflake, Looker Analytics, Data Pipelines - **Published:** November 6, 2026 - **Apply:** https://www.adzuna.es/details/5953555773 ## About the Role You love solving puzzles You can translate needs into analytics tech You have experience with the modern data stack (tools like BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, and command line-based workflows) or hunger to work in that domain You have first-class SQL skills and 3+ years of experience in a relevant role You understand the importance of data modeling, like knowing your Kimballs, your star schemas You value business context and improvement as much as you do first-class technical solutions You love collaboration and take pride in working in high-functioning teams You enjoy working in rapidly evolving, hyper-growth environments where every change presents an opportunity for us to grow You love having fun at work. Ping Pong/Mario Kart skills are a plus! ## Description We collaborate with engineers, product teams, and analysts to create self-serve insight products that are fast, accurate, and elastic at a petabyte-scale We work across the full data product lifecycle: designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards We are stewards of data quality, ensuring that metrics are consistently reported across the catalog of data products We work with cutting-edge tech (BigQuery, dbt, Looker) We look forward and back, applying tools like BQML to predict player behavior We empathize with our game product teams and departments to make their daily work more enjoyable and their products more successful We often specialize in some part of the data stack and lifecycle but always aim to contribute across the full spectrum, Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact ******. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice