




Job Summary: Cegid is seeking a mid-level Data Engineer with over 3 years of experience, specializing in Databricks data platforms, to develop and operate data pipelines, ensuring their stability and efficiency. Key Highlights: 1. Transformation of internal IT/infrastructure through technological modernization 2. Development and operation of Databricks data pipelines for stability 3. Collaboration with cross-functional teams to operate and develop the platform Cegid is a European leader in cloud-based business management solutions (cash flow, taxes, ERP), human resources (payroll, talent management), accounting, retail, and entrepreneurial sectors. In a rapidly changing world, Cegid and its **6,000 employees** make more possible by helping its 750,000 customers unlock their potential through innovative and purpose-driven business solutions. **Make more possible** is our vocation. It reflects who we are, how and why we do things the way we do them for our customers. Thanks to this, we can affirm that we work every day to **shape your future**, our future, and the future of our customers’ businesses—a future we have been defining for years alongside our employees, inventing solutions that change how people work, for sustainable performance. **@ IT** Cegid is initiating the transformation of its internal IT/infrastructure through modernization and simplification of its technology footprint, implementation of a new operational model, and a new organization driven by a service catalog and globalization, alongside the growth and internationalization of the entire group. We are looking for a mid-level Data Engineer with 3+ years of experience, specializing in Databricks-based data platforms. This role combines operational responsibility and solution development, focusing on ensuring reliable, high-quality data pipelines while continuously improving and expanding the data platform. **The challenge we offer you:** * Develop, operate, monitor, and maintain Databricks data pipelines to ensure stability, performance, and cost efficiency. * Ingest, transform, and structure data from multiple sources for analytical and reporting purposes. * Write efficient and sustainable SQL for data transformation and querying. * Work with SQL and NoSQL databases, including data modeling and performance optimization. * Identify and resolve data pipeline failures, data quality issues, and performance bottlenecks. * Ensure data reliability, availability, and integrity in production environments. * Collaborate with cross-functional teams (data, infrastructure, security, support) to operate and develop the data platform. * Contribute to technical documentation, operational procedures, and continuous improvement initiatives. * Apply best practices in data engineering, security, and governance. * 3+ years of experience as a Data Engineer or similar role. * Solid hands-on experience with **Databricks** in production environments. * Strong practical knowledge of **SQL** and experience with relational databases. * Experience working with **NoSQL** databases. * Proven experience building and operating data pipelines. * Experience with **MuleSoft and Microsoft Tools** is highly valued. * **English** is mandatory. Portuguese, French, or Spanish are assets. Our Commitment At Cegid, the **diversity of our talents** is a strength we value, recruiting based on your **skills** and your **potential** to learn and grow with us. We offer you a professional environment where each person can thrive and express their uniqueness. Our commitment rests on **three fundamental pillars**: gender **equality**, inclusion of people with disabilities, and representation of **all diversities**. Benefits > **Attractive and transparent compensation** from recruitment onward > **Annual bonus** based on achievement of individual and company objectives > Hybrid work model and flexible working hours > **25 days of vacation** per year > Health insurance > Access to online **learning** platforms and internal academy > Integration into a dynamic, enthusiastic, and continuously growing **team**


