ph3Who We Look For /h3 pWe are looking for a Data Engineer to join our Engineering team in Europe. /p pIn 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. /p pWe 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. /p pIf you are passionate about data‑driven culture and eager to solve complex retail challenges, you’re in the right place! /p h3What You Will Do /h3 ul liJoin a team of talented data engineers who use cutting‑edge big data technologies to solve impactful business problems. /li liWork 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. /li liImprove and maintain our data warehousing solutions and deliver trusted and easy‑to‑use datasets to both internal external stakeholders. /li liParticipate in design discussions with other team members and find innovative solutions to new and existing business problems. /li liDevelop and enhance continuous integration and continuous delivery (CI/CD) pipelines for the team. /li liExplore new technology options for data processing, storage, and share them with the team. /li liDevelop tools and contribute to internal open source projects wherever possible. /li /ul h3What You Will Need /h3 ul liBachelor’s degree in Computer Science/Engineering or equivalent. /li li2+ years of work experience in building data pipelines ingesting and transforming large data sets. /li li2+ years of work experience in big data technologies such as Spark, Kafka, Airflow, etc. /li liWork experience in one or more general purpose programming languages, preferably Scala, Python.



/li liTrack record of shipping quality code and delivering high quality features. /li liYou are passionate about data and driving a data‑driven culture in the organization. /li /ul h3Nice To Have /h3 ul liHands‑on experience with AWS ecosystem and Databricks. /li liPrior experience working in a distributed, global team across time zones. /li /ul h3Salary Range /h3 p€40,000 – €45,000 fixed gross salary per year. /p h3Location /h3 pWhile we have offices in Milan, Barcelona and Sofia, you can agevolazioni from our flexible hybrid model, empowering you to work where you’re most effective in Europe. /p pFull remote available. /p h3Benefits /h3 ul liAn opportunity to thrive in a rapidly scaling multinational company. /li liA vibrant, informal, and inclusive work environment. /li liWe champion autonomy, flexibility, and a hybrid work model, empowering you to own your work. /li liAccess to learning opportunities and regular feedback sessions. /li liEnjoy our central, modern offices featuring fresh snacks, coffee (including vegan options!), and ergonomic setups. /li liEngage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks. /li liWe provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are. /li liBenefit from additional country‑specific advantages based on local contracts and practices. /li /ul pWe value diversity and actively encourage it — we believe a variety of perspectives and backgrounds makes us stronger. 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! /p p* 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. /p /p #J-18808-Ljbffr

📌 Data Engineer (Roma)
🏢 Shopfully
📍 Roma