Data Engineer (Looker)

Responsibilities:

• Design, develop, and maintain LookML models, explores, and derived tables to create a scalable and efficient data layer
• Ensure best practices in LookML architecture, governance, and security to maintain data integrity and performance
• Optimize query performance by structuring LookML effectively and leveraging BigQuery optimizations
• Work closely with data engineers to ensure efficient data structuring and proper ingestion into Looker
• Build executive-level dashboards using both Looker and Looker Studio, ensuring seamless integration with BigQuery and other cloud data sources
• Develop interactive and self-serve reporting experiences, empowering business users to explore and analyze data independently
• Ensure a seamless user experience, optimizing dashboard performance and query efficiency across both Looker and Looker Studio
• Maintain consistent branding and storytelling across dashboards for clarity and impact
• Work closely with stakeholders (business leaders, analysts, engineers) to understand reporting needs and translate them into scalable Looker and Looker Studio solutions
• Guide and mentor a junior data visualization engineer, helping them build strong Looker and Looker Studio expertise
• Advocate for data governance and best practices, ensuring consistency across teams and domains
• Foster a culture of data-driven decision-making, educating teams on Looker and Looker Studio capabilities and usage
• Implement access controls, row-level security, and permissions to ensure data security and compliance
• Establish naming conventions, version control, and CI/CD practices for LookML and dashboard development
• Develop documentation and training materials to scale Looker and Looker Studio adoption across the organization

Requirements:

• 5+ years of experience in Looker development, with deep expertise in LookML modeling and dashboarding
• Hands-on experience with Looker Studio, including data blending, calculated fields, and visualization best practices
• Strong SQL skills, particularly in BigQuery or other cloud-based data warehouses
• Experience optimizing LookML performance and writing efficient queries to handle large datasets
• Hands-on experience with Git/GitHub for version control in LookML development
• Understanding of data modeling concepts (star schema, normalization, dimensional modeling)
• English level: B2, C1
• Strong ability to translate business requirements into data-driven solutions
• Experience collaborating with executives and business stakeholders to define KPIs and data visualization strategies
• Proven ability to mentor junior engineers, fostering growth and technical excellence
• Excellent communication and storytelling skills, able to explain data insights to non-technical audiences
• Passion for data governance, security, and best practices in enterprise analytics

Nice to have:

• Experience with CI/CD pipelines for LookML deployment
• Familiarity with dbt and modern data engineering practices
• Knowledge of other BI tools (Tableau, Power BI) and their integration with cloud data warehouses

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program