Data Engineer
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? š
WHO WE LOOK FOR š¦
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. Youāll 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, youāre in the right place!
WHAT YOU WILL DO š
- 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 šŖ
- Bachelorās 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.
š At our company, we value diversity and actively encourage it ā we believe a variety of perspectives and backgrounds makes us stronger. We focus on potential rather than on having a āperfectā CV. If this role excites you and you believe you could grow into it ā even if you donāt tick every single box in the requirements ā weād love to hear from you!
NICE TO HAVE š
- Hands-on experience with AWS ecosystem and Databricks.
- Prior experience working in a distributed, global team across time zones.
SALARY RANGE āļø : ā¬40,000 ā ā¬45,000 fixed gross salary per year.
LOCATION š
While we have offices in Milan, Barcelona and Sofia, you can benefit from our flexible hybrid model, empowering you to work where youāre most effective in Europe.
Full remote available.
WHAT YOU WILL FIND AT SHOPFULLY š¤
š An opportunity to thrive in a rapidly scaling multinational company
š¶ļø A vibrant, informal, and inclusive work environment
š§ We champion autonomy, flexibility, and a hybrid work model, empowering you to own your work
š Access to learning opportunities and regular feedback sessions
š Enjoy our central, modern offices featuring fresh snacks, coffee (including vegan options!), and ergonomic setups
š Engage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks
š»We provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are
š§° Benefit from additional country-specific advantages based on local contracts and practices
WHO WE ARE š
Weāre a team of 450 people (and counting!), from 30 different nationalities. Weāre on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. Thatās why building a more diverse team, as well as bringing in even more talent, is so important for us.
TO FEEL AT HOME šļø IN SHOPFULLY YOU NEED šÆ
- Progress Over Perfection: We move forward. Always. In a fast-moving world, speed with purpose beats certainty without action. Momentum mattersānot 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. Thatās not a flaw. Itās the price of ambition.
- Challenge with Empathy: We speak up, even when itās hardābecause 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 buildersāof products, systems, and ideas. But more than that, we are builders of better. Better has no finish line. Itās a mindset.
If you choose to apply for this specific job position and submit your application, which may include personal data such as your identifying details, contact information, curriculum vitae, cover letter, professional qualifications, and/or employment history, please be informed that your data may be shared with our Affiliates*, including Offerista Group GmbH and Flipp Operations Inc. The aforementioned entities will act as joint controllers for the limited purpose of intra-group sharing related to the evaluation of candidatesā applications. This means that your data may be processed by the Affiliate to assess your application and, if deemed suitable, to contact you regarding potential employment opportunities. However, please note that from the moment an Affiliate initiates direct contact with you and engages in any further processing of your personal data beyond the initial intra-group sharing for evaluation purposes, such Affiliate shall act as an independent data controller. In such cases, the processing of your personal data will be subject to the specific privacy policies that can be found here.
* Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliatesā subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates.
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