Data engineer

Emagine is seeking a Data Analytics Engineer to join a collaborative and dynamic project environment in Portugal. This role is ideal for a professional with experience in Data Engineering, Analytics Engineering, or Business Intelligence, looking to bridge business needs with modern cloud-based data platforms within the Google Cloud Platform (GCP) ecosystem.

• Gather, analyse, and validate business requirements, translating them into scalable data models and analytical solutions.
• Design, develop, and maintain efficient ETL/ELT data transformation processes.
• Develop and optimise data solutions within Google BigQuery, including query optimisation, partition management, and business logic implementation.
• Design and implement dimensional data models (Star Schema and Snowflake) to support reporting and self-service analytics.
• Develop and maintain semantic models using Looker / LookerML to enable autonomous business consumption of data.
• Ensure data quality, consistency, and integrity through testing, validation, and documentation.
• Produce clear technical documentation and support knowledge transfer across teams.
• Collaborate closely with business stakeholders, data teams, and technical teams to deliver high-quality data solutions aligned with business objectives.
• Contribute to the continuous improvement of the organisation's cloud data platform and analytical capabilities.

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Business Analytics, or a related field.
• 3-6 years of professional experience in Data Engineering, Analytics Engineering, Business Intelligence, or similar roles.
• Advanced SQL expertise.
• Strong experience working with Google Cloud Platform, particularly BigQuery.
• Solid experience with dimensional data modelling (Star Schema and Snowflake).
• Proficiency with Looker and LookerML.
• Experience with version control using Git.
• Strong ability to understand business processes and translate business requirements into data models, metrics, and KPIs.
• Experience working directly with business stakeholders such as Product, Finance, or Operations teams.
• Excellent analytical, problem-solving, and communication skills.
• Proactive, autonomous, and ownership-driven mindset.
• Ability to explain technical concepts to non-technical audiences and collaborate effectively across multidisciplinary teams.
• Будет плюсом: Experience with dbt (data build tool); Knowledge of Python; Experience with orchestration tools such as Airflow; Experience within Retail and/or E-commerce environments; Google Cloud certifications; Experience developing semantic layers for self-service BI using LookerML; Experience supporting AI-ready data structures or advanced analytics initiatives

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