Pergolux

Working Student Analytics Engineer (m/w/d)

Berlin | Global Team, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

As a Working Student Analytics Engineer, you will get hands-on with the systems and data that power decisions across the entire business. You will write real SQL, ship production dbt models, help maintain a modern data warehouse, and see your work land in the reports leadership actually runs on. This is a part-time (Werkstudent) role where you take ownership of your own small projects end to end, from raw data to actionable insight, with room to grow your responsibilities as your skills develop.
PERGOLUX designs and sells Scandinavian-inspired outdoor living products, from pergolas to garden furniture, directly to consumers. With around 300 employees, 9-figure revenue, and operations across 8 markets, we build our data systems with the same care and precision as our products, guided by integrity, innovation, ambition, and unity.

What You'll Do
Help build and maintain our Snowflake data warehouse with dbt, and contribute to the migration of our ERP pipelines

Support the team in defining and developing core metrics that steer business performance

Build and iterate reports in Looker, turning raw data into insights the business acts on

Monitor data health, proactively flagging gaps, freshness issues, and quality problems

Take on your own small projects across the stack (Airbyte for ingestion, Snowflake as the warehouse, Python for the messy bits, dbt for transformation and orchestration) and ship them

What You'll Bring
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 well beyond a basic SELECT

Business intuition: before running a query, you weigh whether asking "why does this number look like that?" will drive real decisions

Technical curiosity about end-to-end data architecture and a critical mindset for getting the most out of AI tools while knowing where they fall short, plus professional working proficiency in English

Nice to have: exposure to dbt, Airbyte, Snowflake, Looker, or Python; familiarity with e-commerce data (Shopify, Klaviyo, GA4); a GitHub, portfolio, or side project you are proud to talk about

💼 Compensation — Competitive salary · Company pension plan · Capped overtime, fully paid, no endless unpaid crunch
🚀 Growth and Career Development — You will work alongside a lean, senior data team who explain the "why" instead of just handing you tickets, take real ownership of shippable projects from the start, gain full-stack exposure to a modern data platform and a live ERP migration, and build fast-track career momentum and a resume-worthy portfolio as PERGOLUX scales.
⏰ Time Off and Flexibility — Up to 30 vacation days, starting at 27 · One week per year remote workation in EU/UK
🌟 Benefits and Lifestyle
International, collaborative team, working with colleagues across Europe

Regular team events (summer party, Christmas party, after-work gatherings) and retreats

Modern setup and laptops (Apple or Windows)

Employee discounts on PERGOLUX products

Jobrad / Bike leasing program, promoting sustainable and healthy commuting

How to Apply
Ready to ship real data work while you study? Apply through our Career Page and connect with us on LinkedIn. We would love to see what you bring to the table.
PERGOLUX is an equal opportunity employer. We welcome applicants from all backgrounds, we think it's less about ticking every box and more about what you bring to the table!
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis MySQL Operations Python Remote Collaboration Mid level

Likely questions

  1. Tell us about work you have done that is close to the Working Student Analytics Engineer (m/w/d) role.
  2. How would you approach your first 30 days at Pergolux?
  3. Which of Data Analysis, MySQL and Operations have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Operations.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Working Student Analytics Engineer (m/w/d) role because I can bring practical experience in Data Analysis, MySQL and Operations, learn the team quickly, and contribute to the outcomes Pergolux needs from this hire.

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