DATA ENGINEERING MANAGER NEW MILAN, ITALY

Thanks to our innovative BuyNow PayLater payment solution, Scalapay is transforming the way more than 6.5 million customers buy online and in-store, empowering 8,000+ merchants (online and in-store) to give their customers magical shopping experiences. Being only 3 years old didn’t stop us from becoming a unicorn. We have raised over $700mln and we did this thanks to a team built around our 4 core values: #MakeItHappen #PlayAsATeam #StayCurious #FocusOnCustomer. This is where your magic happens. If you love it, Scalapay it. The mission Johnny, our CTO, is looking for a Data Engineering Manager to join his team as Scalapay grows. Your mission will be focused on leading the design and development of innovative data and machine learning solutions that are simplistic yet scalable to meet the needs of our engineering teams. Join our Data Team at the forefront of innovation, blending machine learning and data engineering to create cutting-edge solutions. As a Data Engineering Manager, you'll lead a team of engineers to develop scalable, impactful solutions that address complex problems and deliver value to our customers. Key responsibilities: Lead Machine Learning Projects: Oversee the design, development, and optimization of machine learning models to solve business challenges. Data Integration: Build and integrate ML models into reliable, scalable data pipelines. Cloud-Based Deployment: Deploy and manage ML models using AWS tools like SageMaker. Data Infrastructure: Design and implement robust data architectures to support ML workflows. Model Performance: Monitor and maintain models in production to ensure optimal performance. Cross-functional Collaboration: Work with data scientists, engineers, and product teams to align solutions with business needs. Team Leadership: Mentor and guide engineers, fostering professional growth and technical excellence. You’ll be great for this role if you have: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5-7+ years of experience in data engineering and machine learning roles. Proficiency in Snowflake, SQL, Python, and AWS services (S3, EC2, SageMaker). Expertise in building and deploying ML models, feature engineering, and managing feature stores. Experience with dbt for transforming data and creating tested workflows. Deep knowledge of ML algorithms, data modeling, and warehousing solutions. Strong communication, problem-solving skills, and attention to detail. Why you should join Scalapay: Attractive packages based on skills and experience - the salary band we have for this position is 80’000€-100’000€. International environment with significant challenges to be met every day. Lots of opportunities to work with a team of industry tech leaders who are focused on delivering products that offer exceptional user experiences. Personalised support to accelerate your professional growth and take ownership of the products you deliver: we want to help you grow! Latest technologies and being encouraged to bring your flair to the role. Recruitment process: Initial Chat: A brief conversation with our Talent Acquisition team to get to know you and understand your fit for the role. Hiring Manager Interview: First interview with the CTO and the Director of Engineering to deep dive into your experiences, better understand your motivation and explore your skills. Case Study: A skills-based exercise followed by a debriefing session with key stakeholders, conducted in our Milan office. Final Chat with Simone (CEO): A chance to discuss Scalapay’s values, company vision, and ensure strong cultural alignment. We believe in the power of diversity: Scalapay is an Equal Opportunity Employer for any minority, disability, gender identity or sexual orientation. Apply for this job * indicates a required field #J-18808-Ljbffr