Skip to content

Data Engineer

ShopFully

Roma, ITremote countryPosted May 29, 2026

About the role

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?

WHO WE LOOK FOR

We are looking for a Data Engineer to join our Engineering team in Europe.

In this role, you will be a key player in building the next generation of our digital shopping marketplace. You’ll work with massive datasets and cutting-edge technologies like Spark, Kafka, and AWS to ingest, process, and distribute data at scale.

We need someone who doesn't just "move data" but treats data infrastructure as a product, enabling Data Scientists and Analysts to make informed, high-impact decisions.

If you are passionate about data-driven culture and eager to solve complex retail challenges, you’re in the right place!

WHAT YOU WILL DO

Join a team of talented data engineers who use cutting-edge big data technologies to solve impactful business problems.

Work directly with Engineering, Data Science & Data Analysts teams to create both real-time streaming and batch data pipelines that power data driven decisions across the organization.

Improve and maintain our data warehousing solutions and deliver trusted and easy-to-use datasets to both internal & external stakeholders.

Participate in design discussions with other team members and find innovative solutions to new and existing business problems.

Develop and enhance continuous integration and continuous delivery (CI/CD) pipelines for the team.

Explore new technology options for data processing, storage, and share them with the team.

Develop tools and contribute to internal & open source projects wherever possible.

WHAT YOU WILL NEED

Bachelor’s degree Computer Science/Engineering or equivalent.

2+ years of work experience in building data pipelines ingesting and transforming large data sets.

2+ years of work experience in big data technologies such as Spark, Kafka, Airflow, etc.

Work experience in one or more general purpose programming languages, preferably Scala, Python.

Track record of shipping quality code and delivering high quality features.

You are passionate about data and driving a data driven culture in the organization.

At our company, we value diversity and actively encourage it — we believe a variety of perspectives and backgrounds makes us stronger. We focus on potential rather than on having a “perfect” CV. If this role excites you and you believe you could grow into it — even if you don’t tick every single box in the requirements — we’d love to hear from you!

NICE TO HAVE

Hands-on experience with AWS ecosystem and Databricks.

Prior experience working in a distributed, global team across time zones.

SALARY RANGE ️ : €40,000 – €45,000 fixed gross salary per year.

LOCATION

While we have offices in Milan, Barcelona and Sofia, you can benefit from our flexible hybrid model, empowering you to work where you’re most effective in Europe.

Full remote available.

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

WHO WE ARE

We’re a team of 450 people (and counting!), from 30 different nationalities. We’re on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. That’s why building a more diverse team, as well as bringing in even more talent, is so important for us.

TO FEEL AT HOME ️ IN SHOPFULLY YOU NEED

Progress Over Perfection: We move forward. Always. In a fast-moving world, speed with purpose beats certainty without action. Momentum matters—not for its own sake, but because it drives results.

Clarity Through Transparency: We bring each other along. We work in teams, not silos. Transparency gives context, and context enables action. That means we share decisions early, publish work in progress, and document outcomes so others can learn, move faster, and build better.

Learn Loudly: We grow by doing and by daring. Big bets unlock big breakthroughs. But real innovation demands risk, and risk always carries the possibility of failure. That’s not a flaw. It’s the price of ambition.

Challenge with Empathy: We speak up, even when it’s hard—because candor shows care, and leads to better outcomes. Listening deeply is how we grow. Disagreeing openly is how we build trust.

Always Build Better: We are builders—of products, systems, and ideas. But more than that, we are builders of better. Better has no finish line. It’s a mindset.

Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliates’ subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates.

Questions about this role

  • How do I apply to this Data Engineer role at ShopFully?

    Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

  • What's the typical salary for Data Engineer in Italy?

    Compensation for Data Engineer roles in Italy varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Engineer hub for Italy medians across recent openings.

  • How fast does AI Applyd auto-apply?

    Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

  • What ATS does ShopFully use?

    AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.