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🎯Data Platform Engineer

Polar Analytics

Polar Analytics

Software Engineering
Posted on Friday, June 2, 2023

Data Platform Engineer

Job Edited on
November 21, 2022 2:49 PM
Remote (Europe Timezone)

Polar Analytics: What, Why, How & Where

What we’re looking for

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.
Finally, we're looking for humble innovators, people who have crazy ideas and who value impact more than anything else.

Why this role?

Unlike other Data Engineering roles, you will work on the core product. You will help empower thousands of entrepreneurs to grow their brand, with a product they use daily
Have an impact on the future of the Modern Data Stack for eCommerce, working on core technologies like dbt, Snowflake, Postgres, Airbyte, Fivetran, Airflow, Kubernetes, etc…
Have strong ownership as the Data Platform Engineer on the team, and grow a product that is already used by 900+ brands
Join us at one of the most exciting moments of our history: we are building the core features of the app with $9M raised and a growth rate of 30% month-over-month

What’s the scope

You will help us add new capabilities and features to the platform to delight users even more
Real time analytics
Data sharing capabilities
… our backlog is huge. You will work closely with Product to gather and translate requirements into technical solutions to achieve the maximum impact
You will help build a world class data platform (scalable, performant, reliable):
Unlock new infrastructure capabilities: scale our computing power to support our growth (+ 1000 brands / year), set up new tools in the cloud
Help scale our multi-tenant architecture. For ex: better isolation of data storage and compute
You will own the data integrations experience end-to-end
Build new capabilities to integrate any kind of data into Polar using airbyte, fivetran, singer or custom scripts
Help provide full observability on the health of the connectors and lifecycle

The job is made for you if...

You love data platforms (build & scale)
You are passionate about data products: you are creative and curious when it comes to data, with an active technological watch
You have engineered robust APIs in a production environment with multiple users
You have spent a meaningful time (5+ 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

Being an Engineer at Polar Analytics

Getting Stuff Done, Ownership, Excellence, and Agility.
At Polar, engineers have a lot of ownership, as they both build features and make crucial product decisions.
You should join us if you want to ship fast without sacrificing quality, and be a part of a growing team that thrives for excellence.

Our stack

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

Company Perks & Benefits

Remote-first organisation with a culture around impact rather than hours
5 weeks of vacation
Competitive salary & equity (90th percentile of the market worldwide)
Latest MacBook Pro or equivalent
Complimentary private health insurance (we use Alan)
Every quarter we organise a company-wide offsite to discuss where we're going and strengthen the social bonds

Hiring process

We like to move fast but want to give you a chance to meet as many team members as possible:
Introduction chat with Head of Talent: vision, progress, milestones, past experience, what you like working on, etc. remote - 30 mins
Technical fit (Ways of working, business / product discussion) with CTO and/or Lead Data Engineer - 45 mins
Technical test (Coding & Knowledge questions) with CTO and/or Lead Data Engineer. Similar to problems we’ve worked on. Live test - 1 hour
Culture Fit with CEO - 1 hour
2 final steps:
2-way ref check. You chat with our investors, customers, & partners. We chat with previous (or current) coworkers/managers.
Offer. 3 options. 1 high equity. 1 high base. 1 mid equity/base. You also get to see our cap table, revenue, burn, customer pipeline, & state of the company