EXPERT DATA ENGINEER

Description

Job Summary: We are seeking an Expert Data Engineer to define and govern the architecture of data products, evolve standards, implement Data Engineering best practices, and serve as a technical reference for complex decisions. Key Highlights: 1. Define and govern the architecture of data products and Data Engineering pipelines 2. Act as a technical reference for complex, data-centric decisions 3. Collaborate with multidisciplinary teams to deliver complex solutions We are looking for an Expert Data Engineer to join our Data, AI & Analytics COE team — and we believe we’ll be \#betterwithyou! We count on you to… * Define and govern the architecture of data products and Data Engineering pipelines, ensuring cross-domain consistency and alignment with the data platform; * Establish, evolve, and implement Data Engineering standards, principles, and best practices applicable across teams — covering ingestion, transformation, modeling, data product design, and consumption for analytics, reporting, and AI; * Develop and ensure adoption of reference engineering practices, including idempotency, reprocessing, dependency management, versioning, observability, and data SLAs; * Define, monitor, and support migrations, evolutions, and technology upgrades of data products in coordination with the Data Platform, ensuring functional continuity, data validation, and sustained reduction of technical debt; * Define and implement the technical roadmap for the Data Engineering domain, ensuring continuous technological evolution of data products; * Act as a technical reference for complex decisions and for defining the optimal approach to data-centric problems; * Maintain a holistic view of the technology stack, development standards, and tools used in Data Engineering; * Collaborate with other Engineering teams to ensure Data Engineering solutions meet high-complexity technical and functional requirements. Therefore, you bring… * Degree in Engineering, Computer Science, or related fields; * Proven experience in Data Engineering; * Experience defining and evolving modern data architectures, including Lakehouse and hybrid analytical platforms integrating Data Lake and Data Warehouse; * Experience with SQL, Python, and PySpark (or equivalent technologies); * Solid knowledge and hands-on experience with distributed processing (e.g., Spark, Databricks, Hadoop, Hive); * Experience in cloud environments (e.g., Azure, GCP, or AWS); * Experience processing large volumes of data, both in batch and/or streaming; * Strong knowledge of engineering best practices, including version control (Git), automation, and CI/CD pipelines. * High analytical ability, attention to detail, and capacity to structure complex information; * Strong sense of technical responsibility, critical thinking, and systemic vision; * Autonomy, proactivity, and orientation toward sustainable, long-term technical solutions; * Ability to work effectively with multidisciplinary teams (Product, Engineering, Data Platform, and Business); * Continuous curiosity and willingness to grow technologically and influence best practices. What we offer you… * Meal allowance via Dá card; * Telecommunications plan including voice, data, and equipment (for permanent employees); * Flex it Up program — Extra time-off days, unpaid leave, Flexible Work Model (where applicable); * Health and Life Insurance (for permanent employees), with optional extension of Health Insurance to family members under advantageous conditions; * Flexible Benefits Program (where applicable); * Onboarding and initial training plan, continuous learning platform, and Financial Literacy Program; * School Awards and Merit Scholarships for employees’ children (regular and inclusive education), plus Holiday Programs during school breaks; * Baby Welcome Kit for the upcoming newborn; * Internal Mobility Programs to promote talent; * Annual Flu Vaccination, including administration (voluntary participation); * Somos Sonae Program — psychosocial, financial, and legal support for employees; * Ergocoaching sessions; * Mental Health Promotion Programs and Nutrition Consultations; * Discount and Partnership Program with over 300 leading brands; * Complimentary coffee and fruit at the workplace; * Competitive salary; * Collaborative and dynamic work environment. \#BETTERTOGETHER \#BETTERWITHYOU