Sonae MC

EXPERT DATA ENGINEER

PythonSQLAWSGCP
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About the opportunity

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We appreciate 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 an email with a link to access it. This step is mandatory, as our recruitment process is based on skills 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 and by everyone. At MC, we put people at the center: customers, employees, and the community. We create value together, innovate at every step, and lead in a close manner, recognizing everyone's qualities. Different stories and ideas unite us in the same purpose: to grow and reach 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're 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, monitor, and support migrations, evolutions, and technological upgrades of data products, in conjunction 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 defining the best approach for data-centric problems;
  1. Maintain a holistic view of the technology stack, development patterns, and tools used in Data Engineering;
  1. Collaborate with other Engineering teams, ensuring that Data Engineering solutions meet highly complex technical and functional requirements.

Minimum requirements

So, bring with you…

  1. Degree in Engineering, Computer Science, or similar fields;
  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 skills, 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…

  • Meal Allowance on Dá 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 option to extend Health Insurance to family members with advantageous conditions;
  • Flexible Benefits Program (where applicable);
  • Onboarding and Initial Training Program, 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;
  • Birth Kit for the arriving baby;
  • Internal Mobility Programs to promote talent;
  • Flu Vaccine including its administration (voluntary participation);
  • Somos Sonae Program, offering psychosocial, financial, and legal support to employees;
  • Ergo-coaching Sessions;
  • Mental Health Promotion Programs and Nutrition Consultations;
  • Discount and Partnership Program across more than 300 leading brands;
  • Free coffee and fruit available at the workplace;
  • Competitive Salary;
  • Collaborative and dynamic work environment.

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