Data Engineer Master
LUZA Group
Remoto
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.
- 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.
- 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).