BI / Data Engineer

Why Shoparize?

• Competitive compensation with a solid base salary.

• An international, fast-growing team with colleagues from multiple countries, a flat hierarchy, and an open, friendly, collaborative culture.

• Hybrid setup: we like balance. Expect 2–3 days per week in our centrally located Amsterdam office (Rokin, with canal views), and the rest where you work best.

• Work from anywhere & travel: up to 3 weeks per year to work from anywhere, 25 vacation days per year;

• In the office perks: complimentary lunch and snacks in the office, plus a travel allowance (NS card or reimbursement).

• Beyond the office: team events, offsite and shared moments that bring the team together.

• Growth and wellbeing: opportunities for professional growth and potential leadership roles within the tech team, plus a ClassPass health & wellness monthly subscription.

As our BI Engineer, you won’t just be building dashboards; you’ll be the architect of our data truth. You will take ownership of building and scaling a modern data lake on Google Cloud Platform (GCP), integrating diverse streams from Google Ads, Google Analytics, and our proprietary internal systems.

We are looking for a hybrid talent—someone who understands the rigor of software engineering but possesses the curiosity of a business analyst. Your work will directly influence strategic pivots, campaign optimization, and the bottom line of Shoparize.

Who You Are

• Technical Foundation: You have a background in Software Engineering or high-level Data Analytics.

• GCP Expert: You live and breathe BigQuery. Experience with Dataflow, Cloud Functions, or Looker is a massive plus.

• Analytical Mindset: You likely have experience in Finance or another high-stakes, data-heavy sector where accuracy is non-negotiable.

• SQL Ninja: You can write complex queries in your sleep and know how to optimize them for cost and speed.

• Self-Starter: You’re comfortable working remotely or in our Amsterdam hub, managing your own roadmap and communicating across time zones.

What You’ll Do

• Architect the Lake: Design and implement a scalable data lake using BigQuery, ensuring data is structured for both performance and clarity.

• Pipeline Engineering: Build and maintain ETL/ELT pipelines to ingest data from GA4, Google Ads, and our internal databases.

• Strategic Insights: Collaborate with leadership to translate raw data into actionable business logic, helping us optimize campaign performance.

• Data Governance: Ensure data quality, consistency, and security across the entire stack.

• Bridge the Gap: Work closely with our engineering team to ensure internal systems are "data-ready" and with our marketing team to unlock performance insights.