Data Engineer

Description

Job Summary: We are seeking a Data Engineer for our IT team to design, build, and evolve data solutions that drive company growth and continuous process improvement. Key Highlights: 1. Design, develop, and optimize the data infrastructure. 2. Collaborate with BI, Analytics, and Business teams. 3. Be part of a growing project with cross-functional impact. Would you like to join a leading company in the optical sector, with a strong track record and currently undergoing growth and expansion? At Multiópticas, we continue to grow and evolve. Therefore, we are looking to hire a **Data Engineer** for our IT team — a key role to further drive the management and utilization of information supporting business decision-making. We seek a candidate with experience in Microsoft Fabric and Azure environments, capable of designing, building, and evolving data solutions that contribute to company growth and continuous improvement of our processes. ### **What will be your mission?** Design, develop, and optimize the organization’s data infrastructure, ensuring data availability, quality, and scalability to support the business’s analytical and strategic needs. ### **Key Responsibilities** * Design, build, and maintain the corporate Data Warehouse, ensuring performance and scalability. * Develop and implement data engineering solutions using Microsoft Fabric. * Manage and optimize data storage and processing structures in Azure. * Design, develop, and maintain automated and efficient ETL/ELT pipelines. * Implement best practices for data modeling, quality, and governance. * Collaborate closely with Business Intelligence, Analytics, and Business teams to ensure data availability and accessibility. * Monitor and optimize query and data processing performance. * Document architectures, processes, and information flows. ### **What are we looking for?** * Experience in data engineering and development of analytical solutions. * Solid knowledge of Microsoft Fabric (Data Factory, Lakehouse, Data Engineering). * Experience in designing, building, and maintaining Data Warehouses. * Knowledge of Azure Data Lake Storage, Azure SQL Database, Azure Synapse Analytics, or similar services. * Proficiency in SQL for querying, optimization, and data modeling. * Experience developing ETL/ELT processes. * Knowledge of Python, PySpark, or similar technologies. * Analytical, solution-oriented, and continuous-improvement-focused profile. * Ability to collaborate effectively with multidisciplinary teams. ### **Especially valued** * Knowledge of Power BI. * Experience with Azure Data Factory, Databricks, Airflow, or similar tools. * Microsoft Azure certifications. * Knowledge of Git and CI/CD practices. * Experience working under Agile methodologies. * Knowledge of data governance, security, and quality. ### **What do we offer?** * Join a leading company in the optical sector, with over 40 years of history. * Be part of a growing project with cross-functional impact across various business areas. * Participate in strategic initiatives and transformation projects with real impact on the company. * Integrate into a collaborative, approachable, and innovative environment where continuous improvement is part of daily life. * Hybrid work model. * Health insurance. * Corporate benefits for employees. * Continuous training and professional development opportunities. * Job stability and opportunities for growth within the organization. If you are passionate about data and technology, and want to join a business-minded, continuously improving team, we would be delighted to meet you. At **Multiópticas**, we invest in talent, commitment, and professional development, in an environment that values diversity and promotes inclusion. If you want to make a positive impact on the visual health of hundreds of people, grow alongside a reference team, and feel valued every day, we invite you to join our team — regardless of your identity or background. **We look forward to your application!**