Aircall is looking for a Data Engineer to join our Data Engineering team. You will be instrumental in building new datasets for high-impact use cases and owning the end-to-end reliability and scalability of our data pipelines. You will sit at the heart of our data organization, bridging the gap between raw data and AI-driven decision-making.
What You'll Do
- 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.
- Collaborate with applied scientists, data scientists, analysts and other business stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration.
What We're Looking For
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
- 3+ 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.
Nice to Have
- Prior experience designing AI-ready data semantic layer is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.
- Experience with data tooling, data governance, business intelligence and data privacy is a plus.
Technical Stack
- SQL, Python, dbt, Airflow, AWS, GCP, Azure
Team & Environment
Sits at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists.
Benefits & Compensation
- Medical, dental, and vision insurance is 100% covered
- 401k plan with company matching
- Unlimited PTO
- Wellness, internet, and childcare reimbursements
- Generous parental leave policy
Work Mode
This is a global role open to candidates in Paris, Seattle, Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City.
At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
