Expert Data Engineer

This advert was translated automatically from Portuguese. Read the original.

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 necessary criteria for the role, you will receive a link to access it in your registration email. This step 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 centre: customers, employees and community. We create value together, innovate at every step and lead in a close-knit way, recognising the qualities of each individual. Different stories and ideas unite us in 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 an Expert Data Engineer for our Data, AI & Analytics COE team and we believe we will be #betterwithyou! We are counting 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 to teams, covering ingestion, transformation, modelling, 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, evolutions and technological 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 the continuous technological evolution of data products; • Act as a technical reference for complex decisions and defining the best approach for data-centric problems; • Maintain a holistic view of the technology stack, development patterns and tools used in Data Engineering; • Collaborate with other Engineering teams, ensuring that 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 languages (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 in processing large volumes of data, in batch and/or streaming; • Strong knowledge of engineering best practices, including versioning (Git), automation and CI/CD pipelines. • High analytical ability, attention to detail and structuring of 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 desire to evolve technologically and influence best practices. What we have for you… • Meal Allowance on Dá Card; • Telecommunications Plan with voice, data and equipment (for permanent employees); • Flex it Up Programme - Extra Days Off, Unpaid Leave, Flexible Working Model (where applicable); • Health and Life Insurance (for permanent employees) with the possibility of extending Health Insurance to family members under advantageous conditions; • Flexible Benefits Programme (where applicable); • Onboarding Plan and Initial Training, Continuous Training Platform and Financial Literacy Programme; • School Awards and Merit Scholarships for employees' children (regular and inclusive education), as well as Holiday Programmes during school breaks; • Birth Kit for the baby on the way; • Internal Mobility Programmes for talent promotion; • Flu Vaccine including its administration (voluntary participation); • Somos Sonae Programme, providing psychosocial, financial and legal support to employees; • Ergocoaching Sessions; • Mental Health Promotion Programmes and Nutrition Consultations; • Discounts and Partnerships Programme at over 300 leading brands; • Free coffee and fruit available at the workplace; • Competitive Salary; • Collaborative and dynamic working environment. BETTERTOGETHER #BETTERWITHYOU MC Sonae D&I Commitment: We work to create a working environment based on the richness of profiles and focused on uniqueness, ensuring that everyone feels respected, valued for their skills and has confidence in the organisation.