Senior Data Engineer

Senior Data Engineer Location: Milan (Hybrid) Salary: Competitive JG1206 Finatal are currently partnering with a private equity-backed B2B SaaS business following a recent acquisition. As part of a wider investment into data and technology, they are looking to hire a Senior Data Engineer to help scale and mature their data platform. Working closely with the Head of Data, you will be responsible for designing, building and optimising scalable data pipelines, data models and platform architecture. The environment is heavily focused on Python, SQL and Databricks, supporting large volumes of commercial, financial and customer data. You will also work closely with stakeholders including the CFO, CRO and private equity investors to deliver robust reporting and analytics around key SaaS metrics such as ARR, retention, churn, and customer growth. Role: • Design, build and maintain scalable data pipelines and ELT processes to support reporting, analytics, and business intelligence across the organisation. • Develop and optimise data models and datasets that provide trusted reporting for commercial, finance and operational teams. • Work extensively with Python, SQL and Databricks to process, transform and manage large volumes of business-critical data. • Partner with the Head of Data to enhance the overall data platform architecture, ensuring performance, scalability and reliability. • Support reporting and analytics requirements around subscription revenue, ARR, retention, churn and wider SaaS performance metrics. Requirements: • Strong hands-on Data Engineering experience with advanced Python and SQL skills in modern cloud-based environments. • Proven experience building and maintaining production-grade data pipelines, data models, and ETL/ELT frameworks. • Strong Databricks experience and exposure to modern data platform architectures. • Previous experience working within a SaaS business, with a solid understanding of subscription models and recurring revenue metrics. • Comfortable working directly with senior commercial and finance stakeholders to translate business requirements into scalable data solutions.