Retail & E-Commerce | Data Engineer
Devoteam Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Devoteam. Lisboa · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build ETL and ELT flows that turn complex business needs into dependable, analysis-ready data
- Improve BigQuery queries and partitions, applying business rules inside the warehouse
- Shape data with dimensional models, including star and snowflake schemas, for business use
- Talk with stakeholders to turn their questions into data models, then test and document the results
- Explain technical changes and prepare teams to use the data solutions you deliver
What you bring
- Three to six years working in data or business intelligence roles
- Advanced SQL skills and hands-on experience with GCP, particularly BigQuery
- Experience gathering and refining requirements with business teams and turning them into metrics or KPIs
- Working knowledge of dimensional data modeling, Looker or LookerML, and Git
Who this fits
This role suits a mid-level data professional who enjoys understanding business processes and can explain data concepts to non-technical stakeholders. You should be comfortable owning work independently; junior candidates and profiles focused mainly on strategy or management are not a match. The role is based in Lisboa and is hybrid.
From the employer
At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.
The candidate will be responsible for transforming complex business needs into robust, scalable, and analysis-ready data structures within the Google Cloud Platform ecosystem.
The primary focus lies in semantic interpretation and modeling—ensuring data is prepared for autonomous business consumption and served as valuable assets for decision-making. Additionally, this position involves adapting data structures for advanced use cases, such as AI agents.
Key Responsibilities
- Data Preparation & Transformation: Design and implementation of efficient ETL/ELT processes.
- BigQuery Development: Query optimization, partition management, and application of business logic within the Data Warehouse.
- Data Modeling: Application of dimensional modeling techniques (Star Schema / Snowflake).
- Requirements Translation: Direct interaction with stakeholders to capture needs and translate business questions into data models.
- Quality & Validation: Ensuring data consistency and integrity through testing and rigorous documentation.
- Documentation & Knowledge Sharing: Ability to convey messaging, explain, and document technical developments for training teams, enabling smooth adoption of created solutions.
Nice-to-Have:
- Semantic Layer (LookerML): Development and maintenance of models in LookerML, defining dimensions and measures for self-service BI.
Technical Skills
- Advanced proficiency in SQL
- Experience in GCP (BigQuery)
- Proficiency in Looker / LookerML
- Dimensional data modeling
- Version control (Git)
Nice-to-Have
- Experience with dbt (data build tool)
- Knowledge of Python
- Orchestration tools (e.g., Airflow)
- Experience in Retail / E-commerce
- Google Cloud Certifications
Business & Analytical Skills (Mandatory)
- Strong Comprehension: Ability to quickly understand business dynamics and translate them into metrics and KPIs.
- Stakeholder Interaction: Experience working directly with departments such as Product, Finance, or Operations.
- Critical Thinking: Capability to challenge incomplete or inconsistent requirements.
- Analytical Mindset: Focus on problem-solving and final delivery quality for the end user.
- 3 to 6 years of relevant experience in Data or Business Intelligence.
- Proven track record in Cloud environments (especially GCP).
- Demonstrated experience in gathering and refining requirements alongside business teams.
Soft Skills
- Excellent communication skills (explaining data concepts to non-technical stakeholders).
- High attention to detail and rigor.
- Proactivity and a strong sense of ownership over projects.
- Ability to work autonomously without micro-management.
Cultural Profile & Additional Notes
- Data-driven Mindset: Natural curiosity about business processes, not just the code.
- Seniority Level: Mid-Senior. Neither Junior profiles nor purely strategy/management-focused profiles (Lead) are suitable.
The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.
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