Devoteam

Data engineer in retail & e-commerce

In short

Mid-Senior Data Engineer role at Devoteam, a global Digital Transformation consultancy, focused on building and maintaining data warehouse models and ETL/ELT pipelines for retail & e-commerce clients. Requires strong SQL, GCP/BigQuery and Looker/LookerML skills, dimensional modeling expertise, and 3-6 years of Data/BI experience, with heavy stakeholder interaction. Hybrid role based in Lisbon, Portugal.

About
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.
Responsibilities
•Design and implementation of efficient ETL/ELT processes.
•Query optimization, partition management, and application of business logic within the Data Warehouse.
•Application of dimensional modeling techniques (Star Schema / Snowflake).
•Direct interaction with stakeholders to capture needs and translate business questions into data models.
•Ensuring data consistency and integrity through testing and rigorous documentation.
•Ability to convey messaging, explain, and document technical developments for training teams, enabling smooth adoption of created solutions.
•Development and maintenance of models in LookerML, defining dimensions and measures for self-service BI.
Requirements
•Advanced proficiency in SQL
•Experience in GCP (BigQuery)
•Proficiency in Looker / LookerML
•Dimensional data modeling
•Version control (Git)
•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
•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
•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
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
Conditions
No conditions stated in the posting.

Stop applying.
Get referred.

$10 in free credits

In just 60 seconds, fully on autopilot — Eraldt's AI agents read your CV, map the roles you fit, find live vacancies and the people who can refer you, write personal emails, and get you referred.

This isn't an application: your CV doesn't go to the company, and we don't promise a referral for this exact role.

Discover who else lands interviews on autopilot