DSV
Sonae MC
EXPERT DATA ENGINEER
About the opportunity
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Thank you for your interest in this opportunity! Your application will only be considered complete after completing a digital assessment. Upon completion of the application, and if you meet the necessary criteria for the position, you will receive an email with a link to access it. This step is mandatory, as our selection process is based on competency assessment.
#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.
We are a company for everyone, by everyone. At MC, we put people at the center: customers, collaborators, and the community. We create value together, innovate at every step, and lead with a close approach, recognizing everyone's qualities. Different stories and ideas unite us with a single purpose: to grow and reach our best version. 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, 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, supervise, and support migrations, evolutions, and technological updates 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 define the best approach for 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 that Data Engineering solutions meet highly complex technical and functional requirements.
So, bring with you… •
- Degree in Engineering, Computer Science, or similar areas; •
- 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 in 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 capacity, attention to detail, and structuring of complex information; •
- Strong sense of technical responsibility, critical thinking, and systemic vision; •
- Autonomy, proactivity, and orientation towards 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 influence best practices.
What we have for you… •
- Food Allowance on Card; •
- Telecommunications Plan with voice, data, and equipment for permanent employees; •
- Flex it Up Program - Extra Days Off, Unpaid Leave, Flexible Work Model (where applicable); •
- Health and Life Insurance (for permanent employees) with the possibility of extending Health Insurance to family under advantageous conditions; •
- Flexible Benefits Program (where 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 Vacation Programs during school breaks; •
- Birth Kit for the upcoming baby; •
- Internal Mobility Programs for talent promotion; •
- Flu Vaccine including its administration (voluntary participation); •
- Somos Sonae Program, offering psychosocial, financial, and legal support to employees; •
- Ergocoaching Sessions; •
- Mental Health Promotion Programs and Nutrition Consultations; •
- Discount Program and Partnerships with over 300 reference brands; •
- Availability of free coffee and fruit at the workplace; •
- Competitive Salary; •
- Collaborative and dynamic work environment.
