# Senior Analytics Engineer at Zynga

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Author and optimise complex SQL queries

- **Company:** Zynga (https://jobs.trythestack.co/companies/zynga)
- **Location:** Spain
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Python, Data pipelines, Airflow, Docker, S3, CI/CD, Generative AI, LLMs, Data warehousing, Query optimization, Feature engineering, Data modeling, Tableau, Marketing analytics, Mobile gaming
- **Posted by employer:** 2026-08-10
- **Added to The Stack:** 2026-08-10
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.greenhouse.io/zyngacareers/jobs/6134936004 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-analytics-engineer-zynga

## About the role

Responsibilities:
- Author and optimise complex SQL queries to support experimentation, reporting, and model feature engineering on large-scale player data.
- Design, build, and operate cross-game data marts to provide reliable, analysis-ready datasets.
- Build scalable, maintainable code, tools, and frameworks for reuse across game teams.
- Develop and maintain production data pipelines and end-to-end AI workflows using Airflow, Docker, S3, and CI/CD practices.
- Collaborate closely with game analytics teams to co-design data products and improve analytical processes.
- Share knowledge and train analysts on coding and software engineering best practices.

Requirements:
- Bachelor’s degree in a quantitative discipline (Engineering, Computer Science, Maths, Statistics, Physics) or equivalent experience.
- Advanced SQL capabilities including CTEs, query tuning, and experience with large data warehouses.
- Strong Python experience for production analytics and pipeline development.
- Proven experience building production data pipelines and CI/CD workflows (Airflow, Docker, S3, etc.).
- Familiarity with generative AI or LLM integrations is a plus.
- Collaborative attitude, strong communication skills, and ability to work in a fast-paced environment.

## Responsibilities

You will design and maintain cross-game data marts and AI-powered workflows to support player experience and game growth. Additionally, you will collaborate with game analysts to build scalable data tools and educate the team on software engineering best practices.

## Requirements

Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python for production-level data solutions. Experience with data pipeline tools like Airflow and Docker, along with familiarity with generative AI, is required.

## FAQ

- **Is this Senior Analytics Engineer role still open?** It was posted on 2026-08-10. Listings more than 30 days old may no longer be active, so check Zynga's site before applying.
- **Does Zynga offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Zynga's site.
- **Where is this role located?** The listing gives the location as Spain. It is marked on-site.
- **What skills does this role ask for?** The listing names: SQL, Python, Data pipelines, Airflow, Docker, S3, CI/CD, Generative AI, LLMs, Data warehousing, Query optimization, Feature engineering, Data modeling, Tableau, Marketing analytics, Mobile gaming.

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## Notes for agents

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