EXPERT DATA ENGINEER

Thank you for your interest in this opportunity! Your application will only be considered complete after finishing a digital assessment. At the end of your application, and if you meet the required criteria for the role, you will receive a link via your registered email to access it. This step is mandatory, as our recruitment process is based on competency assessment.

We are a company of everyone and for everyone. At MC, we put people at the center: customers, employees, and the community. We create value together, innovate at every step, and lead with closeness, recognizing each person’s unique qualities. Different stories and ideas unite us under the same purpose: to grow and become the best version of ourselves. Because everything we are, we achieve together.
So, join us!

We are looking for a 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 across teams, covering ingestion, transformation, modeling, data product design, and consumption for analytics, reporting, and AI;
• Develop and ensure the adoption of reference engineering practices, including idempotency, reprocessing, dependency control, versioning, observability, and data SLAs;
• Define, monitor, and support migrations, technological evolutions, and 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 area, ensuring continuous technological evolution of data products;
• Act as a technical reference for complex decisions and define the best 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, ensuring Data Engineering solutions meet highly complex technical and functional requirements.

So, bring with you…
• Degree in Engineering, Computer Science, or similar fields;
• Proven experience in Data Engineering;
• Experience in 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 experience in distributed processing (e.g., Spark, Databricks, Hadoop, Hive);
• Experience in Cloud environments (e.g., Azure, GCP, or AWS);
• Experience processing large volumes of data in batch and/or streaming;
• Strong knowledge of engineering best practices, including versioning (Git), automation, and CI/CD pipelines;
• Strong analytical skills, attention to detail, and ability to structure complex information;
• Strong sense of technical responsibility, critical thinking, and systemic vision;
• Autonomy, proactivity, and focus on sustainable long-term technical solutions;
• Ability to work effectively with multidisciplinary teams (Product, Engineering, Data Platform, and Business);
• Continuous curiosity and willingness to evolve technologically and promote best practices.

What we have for you…
• Meal Allowance in Dá Card;
• Telecommunications Plan with voice, data, and equipment for permanent employees;
• Flex it Up Program - Extra Off Days, Unpaid Leave, Flexible Work Model (when applicable);
• Health and Life Insurance (for permanent employees) with the possibility of extending Health Insurance to family members with advantageous conditions;
• Flexible Benefits Program (when applicable);
• Onboarding and Initial Training Plan, Continuous Training platform, and Financial Literacy Program;
• School Awards and Merit Scholarships for employees’ children (regular and inclusive education), as well as Holiday Programs during school breaks;
• Flu Vaccine including its administration (voluntary participation);
• We Are Sonae Program, providing psychosocial, financial and legal support to employees;
• Ergocoaching Sessions;
• Mental Health Promotion Programs and Nutrition Consultations;
• Discount and Partnership Program with over 300 leading brands;
• Free coffee and fruit available at the workplace;
• Competitive Salary;
• Collaborative and dynamic work environment.

#BETTERTOGETHER #BETTERWITHYOU

MC Sonae D&I Commitment:
We work to create a work environment based on the richness of profiles and focused on uniqueness, ensuring that everyone feels respected, valued for their skills, and confident in the organization.