Senior Data Engineer
hace 2 semanas
**About Polar Analytics**:
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 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**:
- 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 a Senior Data Engineer on the team, and grow a product that is already used by 1,500+ 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 delight users even more
- Real-time analytics to help our customers take intra day decisions on inventory and receive real time alerts
- Data sharing capabilities to expose our warehouse data to customers who want to query it directly, or send that data directly to other tools using Hightouch
- 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 support us as we build a world-class data platform (scalable, performant, reliable):
- Unlock new infrastructure capabilities. Today data is collected using Airbyte & Fivetran, and transformed on Snowflake using dbt. We want to set up a data lake to perform only bulk operations on Snowflake and scale our computing power to support our growth (+ 1000 brands / year).
- Help scale our multi-tenant architecture. For ex: better isolation of data storage and compute
- Own the data-connectors experience end-to-end
- Build new capabilities to integrate any kind of data into Polar using airbyte, singer or custom scripts
- Help provide full observability on the health of the connectors and lifecycle
**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 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 **Python & SQL.** Here are the things we use - and love:
- dbt
- Airflow
- Airbyte & Fivetran
- Snowflake
- Kubernetes
- Docker
- Micro-services architecture on AWS
**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
**Company Perks & Benefits**:
- Remote-first organisation with a culture built around impact rather than hours
- 5 weeks of vacation
- Competitive salary & equity (our compensation philosophy targets 60th - 80th percentile in the top 3 European tech markets)
- Latest MacBook Pro or equivalent
- Complimentary private health insurance (we use Alan)
- Every quarter we organize a company-wide offsite to discuss where we're going and strengthen the social bonds
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