Senior Analytics Engineer at Socialpoint

✨ The Stack take on this Socialpoint job

• 🏢 Socialpoint has 5 jobs here, 5 with visa sponsorship see all
• 🛂 Visa: Highly Qualified Professional permit. Education: Higher education degree guide
• 💡 No salary shown. Ask Socialpoint if it is above the minimum.

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

Apply with your AI assistant

With The Stack connected to Claude, ChatGPT or Cursor, paste this. Your assistant tailors your CV and cover letter, checks the visa facts and gives you the apply link.

Help me apply to this job on The Stack: https://jobs.trythestack.co/jobs/senior-analytics-engineer-socialpoint

Not connected yet? Connect in a minute. To help your user apply, call the MCP tool prepare_application with slug "senior-analytics-engineer-socialpoint": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.

About the role

Responsibilities:
- Write and optimise complex SQL queries for experimentation, reporting, and feature engineering across large player datasets.
- Design, build, and maintain cross-game data marts and schemas to deliver clean, analysis-ready data.
- Develop and maintain production data pipelines using Airflow, Docker, S3, and CI/CD practices.
- Implement end-to-end AI/ML pipelines to support analysts and model deployment workflows.
- Build reusable tools, frameworks, and libraries for adoption across game teams.
- Partner with game and marketing analysts to co-design data products and share engineering best practices through training and documentation.

Requirements:
- Bachelor’s degree in a quantitative field (Engineering, CS, Maths, Statistics, Physics) or equivalent experience.
- Advanced SQL skills including CTEs, query optimisation, and large-scale data warehousing experience.
- Strong Python experience for production-grade analytics and pipeline code.
- Proven experience building and maintaining production data pipelines and CI/CD workflows (Airflow, Docker, S3, etc.).
- Basic to intermediate experience integrating LLMs or generative AI tools into workflows.
- Collaborative mindset, strong communication, and ability to learn quickly 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 analytics teams to develop scalable data tools and educate stakeholders on software engineering best practices.

Requirements

Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience with production-level data pipelines and a collaborative, proactive mindset are essential for this role.

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
• Data modeling
• Tableau
• Marketing analytics
• Mobile gaming

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

• Socialpoint has 4 other listings on The Stack, 4 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 Socialpoint

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 Socialpoint's site before applying.

Does Socialpoint offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Socialpoint'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, Data modeling, Tableau, Marketing analytics, Mobile gaming.