Data engineer in retail & e-commerce

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.

• 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.

• 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.
• Будет плюсом: Experience with dbt (data build tool); Knowledge of Python; Orchestration tools (e.g., Airflow); Experience in Retail / E-commerce; Google Cloud Certifications

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