Data Engineer

Shopfully


Job Location:

Rome - Italy

Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

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. Youll 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 doesnt 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 youre 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

  • Bachelors 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 dont tick every single box in the requirements wed 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 :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 youre 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

Were a team of 450 people (and counting!) from 30 different nationalities. Were on a mission to innovate and we believe the key to that is seeing the world through a variety of perspectives. Thats 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. a fast-moving world speed with purpose beats certainty without action. Momentum mattersnot 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. Thats not a flaw. Its the price of ambition.

  • Challenge with Empathy: We speak up even when its hardbecause 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 buildersof products systems and ideas. But more than that we are builders of better. Better has no finish line. Its 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.

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 cus...

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Shopfully is the 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, fr ... View more

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