Data Engineer Master

Emagine is seeking a Data Engineer Master to join a collaborative and fast-paced project environment in Portugal. This role is ideal for a highly experienced data engineering professional with a strong background in large-scale data platforms, customer data ecosystems, and cloud-based architectures, looking to contribute at a senior technical level within modern Data & Analytics environments, with a strong focus on Snowflake and scalable data solutions.

You will be responsible for designing, building, and optimizing enterprise-grade data pipelines and customer data platforms, ensuring high-quality, reliable, and cost-efficient data solutions. This position requires a hands-on technical expert with strong architectural thinking, leadership capabilities, and the ability to collaborate closely with both technical and business stakeholders.

Your Main Responsibilities

• Design, build, and maintain large-scale ETL/ELT data pipelines on Snowflake
• Develop and optimize Customer 360 / CDP solutions and customer data models
• Ensure high performance, scalability, and cost efficiency of data platforms
• Implement incremental data loads, error handling, and robust pipeline recovery mechanisms
• Work with event-based and near real-time data processing pipelines
• Integrate data from CRM, ecommerce, POS, web/app analytics, and marketing platforms
• Define and implement data quality checks, monitoring, and alerting mechanisms
• Collaborate with marketing, product, and engineering teams to deliver data-driven solutions
• Lead technical design decisions and review the work of other data engineers
• Support migration of on-premise BI/DWH systems to cloud environments

You Bring

• 8+ years of experience as a Data Engineer
• 3+ years in a lead or senior role with ownership of design decisions
• Strong experience with Snowflake (warehouses, schemas, stages, tasks, streams, Time Travel, performance tuning)
• Strong SQL (joins, window functions, query optimization) and Python skills
• Solid experience in data modelling (dimensional models, facts and dimensions)
• Experience with Customer 360 / CDP platforms and customer data concepts (identities, events, behaviour)
• Experience with ETL/ELT pipeline design, orchestration, and CI/CD practices
• Experience with cloud platforms (Azure, AWS or GCP)
• Familiarity with tools such as Airflow, dbt, Azure Data Factory or equivalent
• Experience working with marketing/data integration tools (e.g. Salesforce, Braze, Adobe Campaign)

Nice to Have

• Background in retail or e-commerce environments (online and store data)
• Experience with data platform migrations (on-prem to cloud)
• Strong understanding of data governance and cost optimization strategies
• Experience with near real-time data processing architectures
• Exposure to CI/CD tools such as Azure DevOps or GitHub Actions
• Experience working in international and complex enterprise environments

Location & Eligibility

• Candidates must be based in Portugal
• Hybrid regime — 1 day per week onsite in Rio Tinto