Senior Analytics Engineer

9 hours ago

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Velir

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eCommerce • Marketing • Technology

Velir is a platform that provides innovative solutions for engaging audiences through URL shortening, QR code generation, and mobile-friendly landing pages. With a focus on creating customized digital experiences, Velir helps businesses connect with their customers by offering comprehensive tracking and analytics for all types of digital interactions. The platform is designed to meet the diverse needs of various industries, allowing brands to efficiently manage their digital connections in a unified way.

201 - 500 employees

Founded 2000

🛍️ eCommerce

📋 Description

• Lead complex technical implementations, shaping data architecture and transformation pipelines that prioritize performance, maintainability, and reusability. • Drive adoption of best practices for dbt development, testing, and CI/CD while mentoring peers through code reviews, pairing, and technical guidance. • Contribute to internal tooling, shared dbt packages, and scalable frameworks that raise the standard of analytics engineering across teams and clients. • Partner with analysts, engineers, and stakeholders to translate complex and often ambiguous business requirements into well-structured data models and semantic layers. • Serve as a technical and strategic advisor in cross-functional planning—balancing stakeholder requirements, data governance, and long-term scalability. • Model strong communication and mentorship, helping other AEs and cross-functional teammates develop clarity and confidence in data architecture decisions. • Lead end-to-end delivery of analytics engineering workstreams, ensuring solutions are reliable, well-documented, and aligned with client objectives. • Anticipate and address systemic data quality or modeling issues, implementing durable solutions that improve trust and efficiency across the stack. • Enable sustainable project delivery by optimizing performance, reducing technical debt, and contributing to shared standards that scale across teams.

🎯 Requirements

• Programming languages (e.g., SQL, Python) • Business intelligence platforms (e.g., PowerBI, Sigma) • Expert proficiency in dbt is required. • Expert proficiency in data modeling approaches and philosophies (e.g., Kimball, OBT) • Expert proficiency with at least one cloud data warehouse (e.g., Snowflake, BigQuery) • Expert proficiency with version control and git. • Knowledge of common data integration patterns (e.g., CDC, ELT, etc.) • Knowledge of common data integration / orchestration platforms (e.g., Fivetran, Dagster, Apache Airflow) • Ability to communicate with professional proficiency in English, verbally and in writing.

🏖️ Benefits

• Competitive pay • Excellent benefits