Working Student Analytics Engineer

About the role

As a Working Student Analytics Engineer you will get hands‑on experience with the data systems that power decisions across the business. This part‑time role lets you own small end‑to‑end projects while studying.

Key responsibilities

• Help build and maintain the Snowflake data warehouse with dbt and contribute to the ERP pipeline migration.
• Support the team in defining and developing core metrics that steer business performance.
• Build and iterate reports in Looker, turning raw data into actionable insights.
• Monitor data health, proactively flagging gaps, freshness issues, and quality problems.
• Take on small projects across the stack (Airbyte, Snowflake, Python, dbt) and ship them.

Required profile

• Currently enrolled in a Bachelor’s or Master’s program (Data Science, Statistics, CS, Business Analytics, or related) or a solid self‑taught track record.
• Solid SQL fundamentals, comfortable writing complex queries and full‑fledged models.
• Business intuition to assess whether a query will drive real decisions.
• Technical curiosity about end‑to‑end data architecture and a critical mindset for AI tools.
• Professional working proficiency in English.

Required skills

• SQL
• dbt
• Airbyte
• Snowflake
• Looker
• Python

What we offer

• Competitive salary and company pension plan.
• Capped overtime, fully paid, no endless unpaid crunch.
• Up to 30 vacation days and one week remote workation per year.
• International collaborative team with regular events and retreats.
• Modern laptops (Apple or Windows) and employee discounts on PERGOLUX products.
• Jobrad/Bike leasing program promoting sustainable commuting.