Warehouse Data Intern at Bigblue

🎯 Why This Role Exists

We’re hiring a Warehouse Data Intern to strengthen how Fulfillment teams access, understand, and use operational data. Over the next 6 months, this person will improve monitoring and KPI tracking so teams and partners can make faster, better decisions.

🏢 About Bigblue

About Bigblue

At Bigblue, we’re building the logistics backbone for the next generation of commerce.

Modern brands sell everywhere: through their own online stores, marketplaces, retail, social commerce, and more. Across every channel, customers expect the same fast, reliable, and transparent experience after they buy. What used to be Amazon’s exclusive advantage is now becoming the standard for every ambitious brand. We're helping them get there.

Since 2018, we've built a tech-driven fulfillment platform used by 600+ brands, including Muji, Aigle, Scuffers, and Cabaïa. With 200+ Bigbluers across the UK, France, Spain, and Germany, our proprietary tech stack, and a network of 9 warehouses and over 100,000 sqm of fulfillment space across Europe, we ship millions of orders every month. And we’re nowhere near done!

Backed by €20M+ in funding, we’re expanding across Europe and building the operating system that will power modern commerce operations at a global scale.

At Bigblue, we hold ourselves to a very high bar: in the quality of our product, the rigor of our operations, and the care we bring to every merchant we work with. You'll be working alongside talented people on real, high-impact problems, in an environment where high standards come with genuine support, ownership, and room to grow. If you want your work to matter from day one, you’re in the right place.

🔍 The Role (Mission + Impact)

As Warehouse Data Intern, you will improve how we measure and monitor warehouse operations through reliable dashboards and actionable KPIs. You will work closely with Warehouse, Fulfillment Excellence, and Product to translate operational needs into metrics, reporting, and tooling improvements. You will report to an Analytics Engineer. Success will be measured by dashboard reliability and adoption, and the clarity and usefulness of KPI definitions.

📋 What You’ll Do (Responsibilities)

📈 What Success Looks Like (30/90 Days)

📌 30 Days

📌 90 Days


Requirements 🙌

✅ Must-Have

  • Student in year 4 or 5 of engineering school, or equivalent.
  • Strong SQL skills and ability to write efficient queries on large datasets.
  • Ability to turn data into actionable insights and communicate findings clearly.
  • Proactive problem-solver who collaborates well across teams.
  • Strong attention to detail and comfort in a fast-paced environment.
  • ⭐ Nice-to-Have

  • Experience with BI tools (Metabase, Power BI, …)
  • Familiarity with Warehouse Management Systems (WMS) or operational tooling.
  • Experience with operational KPIs, monitoring, or process improvement.
  • 🗓️ Interview Process

    1. TA screen (30 min)
    2. Live case study (60 min)
    3. Team manager interview (60 min)

    ✨ Why Join Bigblue? (Benefits + Culture)

    ✅ Impact: Play a key role in Bigblue’s growth, working directly with leadership to shape the company’s future.

    💙 Innovative, founder-led culture: A caring environment focused on agility and team success.

    🚀 Fast-growing scale-up: Join a well-funded company where your work has immediate and visible impact.

    🌍 International environment: Collaborate with teams across Europe.

    🏢 Brand-new offices in the heart of [City]

    🍱 Perks: [Meal vouchers, snacks, etc.]

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