Data Engineer/Senior Data Engineer, Data and Science

About the role

The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company.

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.
• Collaborate with applied scientists, data scientists, analysts and other business stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration.

Requirements

• 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.
• 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.

Qualifications

• $130,000 - $200,000 a year
• This is not including equity and other benefits.
• The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.

Benefits

• Medical, dental, and vision insurance is 100% covered.
• 401k plan with company matching!
• Unlimited PTO — take the time you need to come to work feeling great!
• Wellness, commuter, and childcare reimbursements.
• Generous parental leave policy.

Company Culture

• Our people matter, work-life balance is important at Aircall.
• We are a fast-learning environment, entrepreneurial and strong team spirit.
• We have 45+ Nationalities: cosmopolite & multi-cultural mindset.
• We offer a competitive salary package & benefits.
• We provide medical, dental, and vision insurance is 100% covered.
• We have a 401k plan with company matching!
• We offer unlimited PTO — take the time you need to come to work feeling great!
• We provide wellness, commuter, and childcare reimbursements.
• We have a generous parental leave policy.

Equal Opportunity Employer

We are 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. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open.