emagine

Data Engineer / Analytics Engineer (Mid-Senior)

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MidHybryda·LisbonFull-time

#454513·Dodano 15 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

Data modelingDocumentationtrainingSQLData Warehouse (DW)Business Intelligence (BI)OperationsArtificial Intelligence (AI)DataStage (ETL)ETL

Podsumowanie oferty

The role involves transforming complex business requirements into scalable data models and analytics solutions. You will work closely with business stakeholders and technical teams to design and optimize data structures supporting AI-driven and advanced analytical use cases. Primary responsibilities include ETL/ELT process development, BigQuery optimization, and semantic model maintenance using LookerML.

Wymagania

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.

Nice to Have:

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.

Obowiązki

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.

Inne informacje

Candidates must be based in Portugal. Hybrid regime — 2 to 3 days per week on-site in Carnaxide, Lisbon.

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