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?

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.

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