We are tech company leader in Drive To Store that connects millions of shoppers with the stores around them. We help people save time and money and make smarter shopping decisions and we support retailers and brands engaging with consumers throughout the customer journey, from online research to in-store shopping.

With our proprietary websites and apps, a network of publishers and digital platforms and our proprietary tech solutions, we reach 200 millions users globally.

But we keep on growing, as a matter of fact, we’ve recently teamed up with Flipp, landing into the US and Canadian markets, with the aim of creating an advanced digital merchandising network that will revolutionize how retailers and brands with consumers. We’re a team of over 450 people focused on Digital Retail, spanning 30 different nationalities, with a mission: reinventing local shopping worldwide.

If you want to work in a fast-growing and international environment, that’s the right place for you.

About

We’re looking for a Data Engineer who thrives at the intersection of data infrastructure and business insight. You’ll build robust data pipelines and models, enabling the organization to make smarter, faster decisions. If you're passionate about transforming raw data into reliable, scalable assets—and enjoy working with a high-impact data team—this role is for you.

Your Mission

1.Data Modeling & Transformation

• Build accurate, scalable, and well-documented data models as a single source of truth.
• Implement business logic and transformations aligned with the Enterprise Data Strategy.
• Optimize data pipelines (Airflow) and transformations (dbt, SQL, Python).
• Apply software best practices: modular code, version control, testing, and CI/CD.ETL

2. ETL / ELT & Data Warehousing

• Ingest and process large datasets from internal/external sources into the data warehouse.
• Continuously enhance ETL/ELT and warehousing for performance and reliability.

3.Collaboration & Strategy

• Align priorities and technical strategy within the Data team.
• Work with stakeholders to translate business needs into data solutions.
• Ensure data structure and modeling support analytics and business goals.

4.Data Literacy & Documentation

• Maintain clear documentation and promote data literacy across teams.
• Share best practices to enhance data understanding organization-wide.

5.Data Governance & Quality

• Ensure data quality, consistency, and scalability.
• Support governance initiatives and data stewardship efforts.

BENEFITS & PERKS:

#diversity&inclusion - be YOURSELF and get involved in our #nondiscrimination corporate culture with flat hierarchies, openness and a lot of genuinely nice and decent people. #remote- no fixed days in the office. #100%flexible - flexible working time models, trust-based working time, mobile working arrangements. #teamfuckingawesome - experience legendary team events and celebrations with us, such as our annual summer party or our Christmas event. #familyfirst - bring your child and dog to the office and let us support you with an allowance for your childcare. #morebenefits - additional health insurance, food vouchers, Multisport card, 25 days vacation and many more :)

If you feel inspired by this opportunity, please submit your CV in English and get in touch. Your profile is treated with full confidentiality and we will contact only shortlisted candidates.