Senior/Staff Data Engineer
| Company | Aircall |
|---|---|
| Location | London, UK, Seattle, WA, USA, San Francisco, CA, USA, Paris, France, Sydney NSW, Australia, Madrid, Spain, New York, NY, USA, Berlin, Germany |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
- Proficient in SQL and Python, with the ability to translate complexity into efficient code.
- Experience with data workflow development and management tools (dbt, Airflow).
- Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
- Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Responsibilities
- Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
- Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
- Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
- Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines.
- Participate in code reviews to ensure code quality and share knowledge.
- Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
- Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.
- Mentor junior members of the team, providing guidance and support in their professional development.
- Collaborate with data scientists, analysts and other stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration.
Preferred Qualifications
- Experience with data tooling, data governance, business intelligence and data privacy is a plus.