Senior Data Engineer

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!

• Traction - We've grown to over 2,000 + active merchants as of June 2023, 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.

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.

1. You will work on the core product. You will help empower thousands of entrepreneurs to grow their brand, with a product they use daily

2. 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…

3. Have strong ownership as a Senior Data Engineer on the team, and grow a product that is already used by 1,500+ brands

4. 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

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

  • Own the data-connectors experience end-to-end

    • Build new integrations from scratch (our roadmap of integrations is big)

    • Build new capabilities to integrate any kind of data into Polar using airbyte, meltano/singer or custom scripts

    • Help provide full observability on the health of the connectors and lifecycle

  • Data activation capabilities to send data back to our users' platforms

  • … 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

• 💃  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 (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

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.

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

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 & meet with the team - 1 hour

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. Technical Fit (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. Technical 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 aim to provide feedback as quickly as possible.

• No Ego 🤝 - We're all about teamwork and valuing everyone's input.

• Transparency 🪞 - Honesty, feedback, and open communication are cornerstones of our growth.

• Growth Mindset 🚀 - We're always learning, improving, and striving for excellence.

• Care for others 💜 - We're empathetic, customer-centric, and proactive in helping others.

• Act Like the Owner 🔑 - We take responsibility and ownership to drive the success of our business.

• Driven by Impact 🎯 - We focus on delivering value to our customers and stakeholders.

• 🌎  Choice-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

• 🏡 Remote Office Upgrade budget to spend in your first year to ensure you have the best environment possible to work in

• 🩺 Complimentary private health insurance (we use Alan)

• 😍  Every 6 months we organize a company-wide offsite to discuss where we're going and strengthen the social bonds