Data Engineer, Data and Science

📋 Description

• • Join Aircall, a rapidly growing, AI-powered customer communications unicorn, as a Data Engineer in our Seattle office. You will play a critical role in shaping the future of our data infrastructure, contributing to an AI-first data platform that democratizes intelligent insights and drives strategic decision-making across the company.
• • Aircall is revolutionizing customer communications by integrating voice, SMS, WhatsApp, and cutting-edge AI into a unified workspace. Our mission is to empower teams to work smarter, not harder, through innovations like the AI Voice Agent, AI Assist, and AI Assist Pro, which automate routine tasks, streamline post-call processes, and provide real-time guidance.
• • As a Data Engineer on our AI-first data team, you will be at the forefront of a significant transition, focused on building a robust semantic layer. This layer is essential for enabling high-speed analytics and unlocking the full potential of our data for AI-driven applications.
• • Your responsibilities will encompass the entire data lifecycle, from ensuring data reliability and ingesting new raw data sources to developing sophisticated data models that power real-time dashboards and advanced predictive analytics.
• • You will be instrumental in creating new datasets that address high-impact business use cases, such as churn prediction and feature adoption analysis. This involves taking ownership of the end-to-end reliability, scalability, and performance of our data pipelines.
• • This role offers a unique opportunity to collaborate closely with Product and Go-To-Market (GTM) business teams, acting as a crucial bridge between raw data and actionable, AI-driven insights.
• • You will be an integral part of a larger, dynamic data organization, working alongside Data Scientists, Analysts, and Applied Scientists to foster a data-centric culture and accelerate innovation.
• • Aircall is a company in constant motion, characterized by ambition, a product-driven approach, and a focus on execution. We offer a fast-paced environment where decisions are made quickly, and opportunities for significant impact and professional growth are abundant.
• • Our core values emphasize customer obsession, data-driven decision-making, and the delivery of meaningful outcomes. We champion ownership, continuous learning, and thoughtful speed, fostering a collaborative atmosphere where trust and impact are paramount.
• • You will contribute to building and maintaining scalable ETL/ELT pipelines, ensuring data quality and integrity throughout the process.
• • Design, develop, and optimize data models to support various analytical and machine learning needs.
• • Implement monitoring and alerting systems to proactively identify and resolve data pipeline issues.
• • Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
• • Stay abreast of emerging technologies and best practices in data engineering and AI.
• • Contribute to the architectural design and evolution of our data platform.
• • Ensure data governance and compliance standards are met.
• • Troubleshoot and resolve complex data-related issues in a timely manner.
• • Participate in code reviews and contribute to the continuous improvement of our data engineering practices.
• • Empower business users with self-service analytics capabilities through well-structured and accessible data.
• • Support the development and deployment of machine learning models by providing clean, reliable, and relevant data.
• • You will be working with a modern data stack, leveraging cloud-based technologies and best-in-class tools to build efficient and robust data solutions.
• • This role is perfect for someone who thrives on solving complex data challenges and wants to make a tangible impact on a fast-growing tech company.
• • Your work will directly influence product development, customer success strategies, and overall business growth by providing the data foundation for critical insights and AI-driven features.
• • We are looking for individuals who are passionate about data, possess strong problem-solving skills, and are eager to contribute to a collaborative and innovative team environment.
• • You will have the opportunity to work on diverse datasets, ranging from user behavior and product usage to operational metrics and customer interactions, all within the context of a leading SaaS platform.
• • The ability to communicate technical concepts clearly to both technical and non-technical audiences will be essential for success in this role.
• • We encourage a proactive approach to identifying opportunities for data improvement and automation.
• • Your contributions will be key to scaling our data capabilities as Aircall continues its rapid global expansion.
• • This is an exciting opportunity to join a company at the cutting edge of AI and customer communications, where your data engineering expertise will be highly valued and directly contribute to our success.