Polar Analytics is a Full-Stack Business Intelligence Solution for Consumer Brands. A powerful, yet simple solution for business users to get the insights they need to succeed and make the right decisions.

Our mission is to empower indie DTC brands worldwide to grow faster and more profitably!

What's Unique About Polar Analytics? 💎

• Traction - We've grown to over 3,000 + active merchants as of June 2024, and we're on track to reach 5,000 this year.

• Tech & Product - We leverage the latest advancements of the modern data stack and make it user-friendly to non-technical users.

• Funding Strategy - We're backed by Point9, an exceptional B2B SaaS investor that's renowned for finding Unicorns at an early stage.

• Team - We're a collective of experienced individuals from leading eCommerce SaaS platforms and are on a mission to become the next unicorn.

Data Engineering @ Polar 🎯

We're looking for individuals who love to create products and have ownership from inception to shipping.

We live in a moment where growing with data has never been more essential: your mission at Polar will be critical. We’re looking for people who love to grow and empower brands to grow with data.

We have a strong data infrastructure in place with a senior team of data engineers/scientists that you will work closely with Victor, Pierre, Alexis, Amaury, Charbel

Whats the scope? 🔎

1. You will help us add new capabilities and features to delight users even more

2. Delivering features end-to-end

3. You'll help us to 10x our scalability

4. You will support us as we build a world-class data platform (scalable, performant, reliable)

The job is made for you if...

• 💃  You are passionate about data products: you are creative and curious when it comes to data, with an active technological watch

• 🚀  You have previous experience working as a software engineer and have engineered robust APIs in a production environment with multiple users

• 🕐 You have spent a meaningful time (3+ years) as a hands-on data-engineer / software engineer

• 🦾 You are fluent in Python and have a good knowledge of SQL

• 👀 You are very rigorous

• 🎖 You have a sense of ownership, responsibility and strong communication skills

Our stack 📚

We like to try new things out but most of our data stack is built around Python & SQL. Here are the things we use - and love:

• dbt

• Airflow

• Airbyte & Fivetran

• Snowflake

• Kubernetes

• Docker

• Micro-services architecture on AWS

Our Hiring Process 📝

We follow a structured hiring process to ensure fairness and transparency. Our process may vary depending on the role, but this is what you can expect after you apply:

1. Recruiter Screen (30 mins): A call with our Head of Talent to talk through your current/past experience, your motivations and Tell you more about Polar Analytics.

2. Role Fit Interview (45 mins): Here, you'll meet either the Hiring Manager or a team member of a similar level to discuss your ways of working and understand your skillset and ability for the role.

3. Competency Deep Dive (1 hour): This interview usually consists of a practical element (case study, Presentation, Technical Problem Solving etc) designed to give you a broader understanding of how we drive impact at Polar. This will be with the hiring manager and one other team member.

4. Culture Interview (45 mins): A conversation with one of our Culture Champions. We assess your team fit based on our values (see below).

We value your time and effort in the application process, and we