Sonae MC

EXPERT DATA ENGINEER

PythonSQLAWSGCP
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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… •

  1. Define and govern the architecture of data products and Data Engineering pipelines, ensuring cross-domain consistency and alignment with the data platform; •
  1. 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; •
  1. Develop and ensure the adoption of reference engineering practices, including idempotency, reprocessing, dependency control, versioning, observability, and data SLAs; •
  1. 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; •
  1. Define and implement the technical roadmap for the Data Engineering area, ensuring the continuous technological evolution of data products; •
  1. Act as a technical reference for complex decisions and define the best approach for data-centric problems; •
  1. Maintain a holistic view of the technology stack, development standards, and tools used in Data Engineering; •
  1. Collaborate with other Engineering teams, ensuring that Data Engineering solutions meet highly complex technical and functional requirements.

So, bring with you… •

  1. Degree in Engineering, Computer Science, or similar areas; •
  1. Proven experience in Data Engineering; •
  1. Experience in defining and evolving modern data architectures, including Lakehouse and hybrid analytical platforms integrating Data Lake and Data Warehouse; •
  1. Experience in SQL, Python, and PySpark languages (or equivalent technologies); •
  1. Solid knowledge and experience in distributed processing (e.g., Spark, Databricks, Hadoop, Hive); •
  1. Experience in Cloud environments (e.g., Azure, GCP or AWS); •
  1. Experience in processing large volumes of data in batch and/or streaming; •
  1. Strong knowledge of engineering best practices, including versioning (Git), automation, and CI/CD pipelines; •
  1. High analytical capacity, attention to detail, and structuring of complex information; •
  1. Strong sense of technical responsibility, critical thinking, and systemic vision; •
  1. Autonomy, proactivity, and orientation towards sustainable long-term technical solutions; •
  1. Ability to work effectively with multidisciplinary teams (Product, Engineering, Data Platform, and Business); •
  1. 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.

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