Thank you for your interest in this opportunity! Your application will only be considered complete after completing a digital assessment. At the end of the application, and if you meet the criteria required for the role, you will receive an email with a link to access it. This stage is mandatory, as our recruitment process is based on skills 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 proximity, recognizing each person’s qualities. Different stories and ideas unite us around the same purpose: to grow and become the best version of ourselves. Because everything we achieve, we achieve together.

MC Digital is MC’s Information Technology area. We firmly believe that technology can revolutionize the retail sector by delivering greater convenience and exceeding customer expectations. In this context, we are focused on strengthening the use of Artificial Intelligence in our products and technology systems, helping to accelerate MC’s digital transformation.

Would you like to learn more about what we do? Visit Caixa Central, MC Digital’s blog and podcast: https://caixacentral.mcdigital.tech/.

So, join us!

We are looking for a Data Expert Engineer to join the Insights & Strategy team, within the Data, AI & Analytics CoE at MC Digital, and we believe we will be #betterwithyou.

You will be responsible for…

• Acting as the main technical interface between the semantic layer, AI Agents and Data Engineering, ensuring alignment with business requirements;
• Defining and validating semantic models, ensuring coverage, quality, and readiness of certified metrics for analytical consumption and AI agents;
• Designing, maintaining and evolving the integration between the semantic layer and AI Agents, ensuring consistent, controlled and contextualized access to information;
• Identifying gaps in the semantic layer (missing metrics, inadequate granularity, incomplete lineage) and communicating them in a structured way to Data Engineering teams, with clear, product‑oriented acceptance criteria;
• Applying causal inference methods (DiD, RDD, IV, CausalML, DoWhy) to analyze commercial and operational performance drivers;
• Translating causal results into actionable narratives, in collaboration with Decision Scientists, supporting strategic decisions within the Vision One ecosystem;
• Promoting an analytics culture driven by causal evidence, beyond simple correlation;
• Providing technical leadership to the team through mentoring, code reviews, engineering standards definition and architecture decisions;
• Collaborating cross‑functionally with Analytics Engineers, Data Engineers and Product Managers;
• Representing the team in internal and external technical forums.

So, bring with you…

• A university degree in Computer Engineering, Computing, Industrial Engineering or Mathematics;
• Solid experience (5–8 or 8+ years) in highly senior roles within data, AI or advanced analytics contexts;
• Strong knowledge of data and analytics platforms, namely Databricks (Delta Lake, Unity Catalog, Databricks Apps, MLflow), GCP (BigQuery, Cloud Run, Pub/Sub, Vertex AI) and IAM and governance practices;
• Strong command of Python applied to advanced data engineering, APIs (FastAPI) and integration with LLM libraries (e.g. Anthropic, LangChain);
• Experience building and consuming semantic layers (Metric Views, Unity Catalog) for advanced SQL, analytics and AI Agents;
• Advanced knowledge of causal inference and quasi‑experimental methods (DiD, IV, RDD), as well as integration of LLM and GenAI approaches;
• Experience with prompt engineering, RAG and model output evaluation;
• Strong technical leadership skills, clear communication and cross‑functional influence;
• AI skills.

What you will find…

• A collaborative work environment;
• A dynamic team;
• Career progression and internal mobility opportunities;
• A cohesive company and a market reference in the retail sector.

What we offer…

• Meal allowance on Dá Card;
• Telecommunications plan with voice, data and equipment (for permanent employees);
• Flex it Up Program — extra days off, unpaid leave, and flexible work model (when applicable);
• Health and life insurance (for permanent employees), with the option to extend health insurance to family members under advantageous conditions;
• Flexible benefits program (when 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), as well as holiday programs during school breaks;
• Newborn welcome kit;
• Internal mobility programs to promote talent;
• Flu vaccination, including administration (voluntary participation);
• Somos Sonae Program, offering psychosocial, financial and legal support;
• Ergocoaching sessions;
• Mental health promotion programs and nutrition consultations;
• Discounts and partnerships with over 300 reference brands;
• Free coffee and fruit at the workplace;
• Competitive salary.

#BETTERTOGETHER #BETTERWITHYOU

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