Senior Data Engineer

hace 1 semana


Gasteiz Vitoria, Álava, España Importante empresa A tiempo completo
About Importante Empresa

Company Overview: Importante Empresa is a leading provider of Full-Stack Business Intelligence Solutions for Consumer Brands. Our mission is to empower indie DTC brands worldwide to grow faster and more profitably.

Job Summary

We are seeking a highly skilled Senior Data Engineer to join our team. As a Senior Data Engineer, you will be responsible for developing and maintaining our core product, empowering thousands of entrepreneurs to grow their brand with a product they use daily.

Key Responsibilities

  1. Design and implement robust APIs in a production environment with multiple users.
  2. Develop and maintain our data stack, including dbt, Airflow, Airbyte & Fivetran, Snowflake, Kubernetes, and Docker.
  3. Collaborate with the Product team to gather and translate requirements into technical solutions to achieve maximum impact.
  4. Own the data-connectors experience end-to-end, building new capabilities to integrate any kind of data into our platform.
  5. Help scale our multi-tenant architecture, ensuring better isolation of data storage and compute.
  6. Provide full observability on the health of the connectors and lifecycle.

Requirements

  1. 5+ years of experience as a hands-on data-engineer/software engineer.
  2. Fluency in Python and a good knowledge of SQL.
  3. Strong ownership, responsibility, and communication skills.
  4. Passion for data products, with an active technological watch.

What We Offer

  1. Competitive salary and equity.
  2. Latest MacBook Pro or equivalent.
  3. Complimentary private health insurance.
  4. Remote-first organization with a culture built around impact rather than hours.
  5. 5 weeks of vacation.

Our Culture

We value ownership, excellence, and agility. Our engineers have a lot of ownership, building features and making crucial product decisions. We strive for excellence and move fast, but we also prioritize quality and collaboration.

Hiring Process

  1. Introduction chat with Head of Talent.
  2. Technical fit discussion with CTO and/or Lead Data Engineer.
  3. Technical test with CTO and/or Lead Data Engineer.
  4. Culture fit discussion with CEO.

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