Senior/Staff Data Engineer, Aircall
AI-powered communications platform
Job no longer available
AI-powered communications platform
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To empower every professional to have rich conversations, so they can focus on closing deals and delighting customers.
Role
Who you are
- 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
- Experience with data tooling, data governance, business intelligence and data privacy is a plus
- If you love a good challenge, enjoy solving meaningful problems, and want to be a part of one of the fastest-growing B2B startups, then Aircall is the company you are looking for!
What the job involves
- We are looking for a passionate and experienced data engineer to join our team and contribute to Aircall’s rapid growth
- As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure
- This role offers the unique opportunity to be at the forefront of our engineering efforts to develop and optimize the technologies that will scale our business via enhancing the customer journey
- Collaborating with teams across the company, you will leverage your technical skills to solve complex challenges, improve operational efficiency and lead our business towards its strategic goals
- 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
Our take
Call centres have been a mainstay of sales teams for decades, with the human touch delivering an impression conversion rate of about 30% for inbound calls. However analogue call centres are physical infrastructure-heavy and unable to take advantage of the flexibility afforded by remote and hybrid ways of work. Aircall exists to change that, providing a cloud-based call centre infrastructure that allows sales teams to work from their home offices.
Aircall isn't the only company in this space, and it faces heavy competition from Cloudtalk, another cloud-based call centre solution. However Aircall stands out in the market by its use of open APIs and webhooks, making integration with existing productivity and helpdesk tools much easier, and its superior call quality. Aircall has developed a significant customer base with these strengths, with over 20,000 companies using its platform.
The company has raised significant funding in recent years, highlighting the confidence investors have in their offering. With a rapidly expanding presence in the US, European, UK and Australian markets and the recent addition of AI voice agents to handle business calls 24/7, Aircall is clearly set on innovating at scale.
Steph
Company Specialist at Welcome to the Jungle
Insights
0% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2021
$120m
SERIES D
May 2020
$65m
SERIES C
Total funding: $225.6m
Company HQ
NoMad, New York, NY
Leadership
Scott Chancellor
(CEO)Prior to joining Aircall as CEO in 2023, Scott was CEO of Humu and Chief Product/Technology Officer at Apptio. He also spent 7 years at Amazon Web Services as a Director and General Manager of AWS Insights.
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