Data Analytics Engineer

2 settimane fa

Milano, Lombardia, Italia Shopfully A tempo pieno 60.000 € - 120.000 € all'ano
We are the platform turning browsing into shopping.

We connect 200 million shoppers with deals they love while boosting local sales for hundreds of top retailers and brands. We help consumers save time and money while making smart shopping decisions, and we support retailers and brands in engaging customers from online research to in-store purchases.

Ready to spark your growth with us? 

What you will find at Shopfully
  • An opportunity to thrive in a rapidly scaling multinational company
  • A vibrant, informal, and inclusive work environment
  • We champion autonomy, flexibility, and a hybrid work model, empowering you to own your work
  • Access to learning opportunities and regular feedback sessions
  • Enjoy our central, modern offices featuring fresh snacks, coffee (including vegan options), and ergonomic setups
  • Engage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks
  • We provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are
  • Benefit from additional country-specific advantages based on local contracts and practices
Your Point of ContactWho we look for

We're looking for a Data Analytics Engineer to join our Data Engineering team.

Every single day, our ingestion system processes over 100 million events coming fromusers across the globe - your mission will be to transform this data into high-impactinsights, building scalable, reliable data pipelines and enabling the entire company tomake data-driven decisions.

You'll collaborate closely with Data Scientists, Data Analysts, Software Engineers, and Product Managers, ensuring that our data ecosystem continues to evolve efficiently andeffectively.

Who we areWhat you will do
  • Design, develop, and maintain robust ETL pipelines that power our analytics and reporting. 
  • Build and optimize data models and schemas to support business intelligence and product performance tracking.
  • Partner with cross-functional teams to translate business needs into scalable data solutions.
  • Continuously improve our data stack by refactoring, automating, and introducing best practices.
  • Ensure data quality, consistency, and reliability across our systems.
What you will need
  • 1-3 years of experience as a Data Engineer or in a similar role.
  • Proven experience in ETL design, implementation, and maintenance.
  • Strong knowledge of SQL and experience with dimensional data modeling.
  • Hands-on experience with Python and relevant data libraries.
  • Experience working with DBT or similar transformation frameworks.
  • Experience with one of the major cloud providers (AWS, GCP, Azure).
  • Familiarity with big data frameworks (e.g. Apache Spark).
  • Knowledge of Infrastructure as Code tools (e.g. Terraform).
Nice to haveSalary rangeLocation

While we have an office in Milan, you can benefit from our flexible hybrid model(full-remote available from Italy), empowering you to work where you're most effective.

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