Data Engineer Master

Nome da função: 

Localização:

Regime de trabalho:

Vem fazer parte de um ecossistema dinâmico onde o futuro dos negócios é criado e vivido todos os dias. Faz parte desta transformação!

Na LUZA Group, a paixão, a perseverança e a vontade de superar limites definem o nosso caminho para o sucesso.

Fundada em 2006, somos uma multinacional portuguesa com mais de 1.200 profissionais talentosos e um volume de negócios que supera os 30M€. Com presença em mercados estratégicos como Portugal, Espanha, Marrocos, Brasil, México, Estados Unidos e China, oferecemos soluções inovadoras em engenharia, TI, design, consultoria, Indústria 4.0, formação e recrutamento. Tudo o que fazemos é movido pelo talento das nossas pessoas.

Este é um momento de crescimento e oportunidade. O futuro pertence a mentes visionárias. Vais juntar-te a nós?

Responsabilidades e Tarefas da Função

• Coordination with business side
• Design, implementation and test of data pipelines with the goal of enabling business analysis
• Capable to implement near real-time scenarios
• Development of Event-driven solution.
• Experience with POS systems.

Requisitos Obrigatórios

• 8+ years working as a data engineer.
• 3+ years in a lead / senior role (owning design decisions, reviewing work of others).
• Strong experience with: Customer 360 / CDP or similar customer data platforms and Large-scale data pipelines on Snowflake (core requirement).
• Background in retail or ecommerce (online + store data is a plus).
• Experience moving data platforms from on-prem BI/DWH to cloud.
• Academic qualifications - bachelor's degree in software engineering, Computer Engineering, or a related field.

• Data Engineering
  Very strong SQL (joins, window functions, query tuning) and strong knowledge in Python
  Design and build of ETL/ELT pipelines: Incremental loads using timestamps or change flags and error handling, restart / re-run without data issues.
  Good knowledge of data modelling: Dimensional models (facts and dimensions) and Customer data concepts: identities, events, sessions, behaviour.
• Snowflake
  Hands-on with: Warehouses, schemas, stages, file formats; tasks, streams, Time Travel, micro-partitions; roles, permissions and separation of environments (dev/test/prod).
  Used to improving performance and cost: query tuning and clustering and warehouse sizing and auto-suspend.
• Integration & Marketing Data
  Experience connecting data to MarTech / CDP tools (e.g. Braze, Salesforce Marketing Cloud, Adobe Campaign, etc.) and Ingesting data from: CRM / ecommerce platforms (e.g. Salesforce or similar), Web/app analytics tools (GA/GA4 or similar) and POS / store systems and customer support tools.
  Comfortable working with event data and near real-time feeds.
• Cloud, Orchestration & CI/CD
  Experience with at least one major cloud (Azure, AWS or GCP).
  Worked with orchestration tools (Azure Data Factory, Airflow, dbt, or similar).
  Git-based development (branches, pull requests, code review).
  Basic CI/CD for data pipelines (e.g. Azure DevOps, GitHub Actions).
• Data Quality & Monitoring
  Setting up data checks (completeness, duplicates, basic business rules).
  Monitoring jobs and data freshness, creating alerts when something fails.

Requisitos Complementares

• Direct experience integrating Braze with Snowflake.
• Background with Microsoft BI stack (SSIS/SSAS/SSRS) and migrations to Snowflake.
• Experience preparing datasets for data science / ML (RFM, churn, recommendation models).
• Certifications in Snowflake or cloud data (Azure, AWS, GCP).

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