Senior/Staff Data Engineer

A communication technology company backed by $220M investment, serving 20,000+ customers with accessible, transparent collaborative communication solutions.
Data
Staff Software Engineer
Hybrid
5+ years of experience
Enterprise SaaS

Description For Senior/Staff Data Engineer

Aircall, a rapidly growing communication technology company backed by $220M+ investment, is seeking a Senior/Staff Data Engineer to join their global team. This role offers a unique opportunity to shape the future of business communication technology, serving 20,000+ customers worldwide. The position involves designing and maintaining critical data infrastructure, implementing best practices, and leading technical initiatives that scale the business.

The ideal candidate will be instrumental in developing and optimizing data technologies that enhance customer experience while working with cross-functional teams across multiple global offices. This role combines technical leadership with hands-on engineering, requiring expertise in Python, SQL, and modern data tools like dbt and Airflow.

The position offers significant growth potential in a fast-scaling environment, with the opportunity to work with diverse teams across multiple continents. Aircall provides a collaborative, inclusive culture that values work-life balance and professional development. The company's strong focus on DE&I ensures a welcoming environment for all team members, promoting active inclusion and diverse perspectives.

Benefits include competitive compensation, comprehensive health coverage, and various lifestyle perks such as lunch and commute benefits. The role can be performed in a hybrid work arrangement, with offices in major global tech hubs. This is an excellent opportunity for an experienced data engineer looking to make a significant impact in a rapidly growing, well-funded technology company.

Last updated 25 days ago

Responsibilities For Senior/Staff Data Engineer

  • Design, build and maintain core data infrastructure
  • Enhance data stack, lineage monitoring and alerting
  • Implement best practices for data management, storage and security
  • Own the core company data pipeline
  • Participate in code reviews
  • Lead efforts to evaluate and integrate new technologies
  • Define and manage data models and schemas
  • Mentor junior team members
  • Collaborate with data scientists and analysts

Requirements For Senior/Staff Data Engineer

Python
  • Bachelor's degree or higher in Computer Science, Engineering, or related field
  • 5+ years of experience in data engineering
  • Proficient in SQL and Python
  • Experience with data workflow tools (dbt, Airflow)
  • Experience with cloud-based data platforms (AWS, GCP, or Azure)
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills
  • Experience with data tooling, governance, and privacy (plus)

Benefits For Senior/Staff Data Engineer

Medical Insurance
Commuter Benefits
  • Competitive salary package
  • Health coverage
  • Lunch benefits
  • Commute benefits
  • Sports benefits
  • Work-life balance
  • Fast-learning environment
  • Multi-cultural workplace with 45+ nationalities

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