Data Engineer - Calendly team

We are looking for a Senior Data Engineer who’ll be working on a project for one of the few unicorn startups in the USA - Calendly. They are one of the leading companies in the US, helping its users stay organized and schedule their meetings effortlessly! This is an exciting opportunity to join a core team that will influence Calendly’s direction and growth.

About the role:

You will report to the Head of Architecture and ensure the company has access to timely, accurate, relevant, and proactively persuasive insights to efficiently grow the business. The ideal candidate will be able to develop and maintain data architectures that align with business requirements, as well as ask the right questions to ensure that the deliverables align for success. Working closely with Calendly’s product, sales, and marketing teams, you will ensure data accuracy and consistency while supporting high-quality, data-driven decisions. 

Key Responsibilities:

• Creation of a high-volume data platform linking all aspects of Calendly’s business

• Ensure proper, secure, and scalable instrumentation of data models in partnership with Product Engineering

• Manage performance, integrity, and security of data transfer and storage

• Identify process improvement opportunities for data intake, validation, mining, engineering, as well as modeling, visualization, and communication deliverables

• Answer key business questions and effectively communicate results

• Partner with the sales, marketing, product, and CX organizations to discover insights that will uncover optimization opportunities

• Design and deliver intelligence to the business that is aligned with the objectives and key results we are aiming to achieve

• Ensure timeliness, accuracy, and relevance of data and deliverables 

We expect you to have: 

• Bachelor’s degree in computer science, information systems, engineering, or related field

• 3+ years of experience in a position designing and maintaining data pipelines, data models, and reporting systems

• Excellent verbal and written English

• Strong programming skills in imperative and declarative languages: Python, SQL

• Strong data modeling background and cloud data warehouse experience

• Experience with big data tools such as Google BigQuery

• Experience with batch and streaming pipelines, i.e. Apache Spark, Beam

• Experience with orchestration techniques and frameworks like Airflow, PubSub

• Experience with data visualization tools such as Tableau, Mode, etc.

• Experience with Adobe Analytics, Google Analytics & other analytics tools

We offer:

• 6-hour net workday

• Remote work

• Flexible working hours

• 20 vacation days

• Private health insurance with full pregnancy/maternity coverage and family members included

• 10 days of paid paternity leave

• Macbook 

• Pet-friendly office

• Net salary starting at 2000 EUR 

• Monthly home expenses budget of 50 EUR

• A dynamic and friendly atmosphere where you can further develop your skills while having fun along the way!
  

Selection process

• Short general questionnaire ~ 5 min

• Intro call with a team ~ 30 min

• Client-side screening ~ 30 min

• Client-side Tech Interview ~ 1h

• HR & Interview with our Chief Cat ~ 1.5h
  
  

Want to know how you can apply for this position?

If this position sounds appealing, send us your resume at careers@fatcatcareers.com with the subject line “Data Engineer - Debele Macke - Calendly team”.