Senior Analytics Engineer at Zynga

✨ The Stack take on this Zynga job

• 🏢 Zynga has 3 jobs here, 3 with visa sponsorship see all
• 🛂 Visa: Highly Qualified Professional permit. Education: Higher education degree guide
• 💡 No salary shown. Ask Zynga if it is above the minimum.

Updated 2026-11-03, from our data and official sources.

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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.

Key skills

• SQL — in 527 other listings on The Stack
• Python — in 1173 other listings on The Stack
• Data pipelines — in 113 other listings on The Stack
• Airflow — in 95 other listings on The Stack
• Docker — in 456 other listings on The Stack
• S3 — in 25 other listings on The Stack
• CI/CD — in 620 other listings on The Stack
• Generative AI — in 58 other listings on The Stack
• LLMs
• Data warehousing
• Query optimization
• Feature engineering
• Data modeling
• Tableau
• Marketing analytics
• Mobile gaming

On The Stack (as of 2026-11-03)

• Zynga has 2 other listings on The Stack, 2 of them marked as offering visa sponsorship.
• 67 visa-sponsored jobs in Spain on The Stack, posted in the last 60 days.

Frequently asked questions about Zynga

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.