Software Engineer Data Engineering at air up

A
air up

Software Engineer Data Engineering

Remote

Full Time

#Software Engineering

#Data Engineering

#Cloud Services

#Python

#SQL

#Data Modelling

#Design

#Big Data

#AWS Glue

#AWS

#AWS RedShift

#Terraform

#Airflow

air up is looking for a Software Engineer Data Engineering

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We are on a mission to make healthy and sustainable living the most appealing choice for everyone. At air up, we challenge the status quo by creating a world-first drinking system that uses scent to flavor tap water, eliminating the need for sugar, additives, or single-use plastics. Our team is a diverse, creative group of builders and experts who thrive on turning bold ideas into impactful realities. We are currently looking for a Senior Software Engineer to join our Data Engineering team and help us shape the future of our data-driven decision-making.

Key outcomes

  • Collaborate with data analysts and software engineers across the organization to design and build high-quality data products.
  • Develop and maintain robust data pipelines using modern software engineering practices, including test-driven development, continuous integration, and pair programming.
  • Architect and manage our data infrastructure, ensuring it integrates seamlessly with our existing cloud services and tools.
  • Proactively monitor our data systems and address quality issues to ensure our stakeholders have access to reliable, actionable insights.
  • Contribute to the overall vision of our data architecture while experimenting with new technologies, such as AI, to improve our productivity.

Requirements

  • At least 3 years of professional experience in software engineering, with a genuine passion for data.
  • Strong proficiency in Python and SQL.
  • Experience with cloud-based data ecosystems, specifically AWS services like Glue, Redshift, and S3.
  • Familiarity with complex data modeling, ELT design, and Big Data technologies.
  • Excellent communication skills in English and the ability to thrive in a multicultural, collaborative environment.

Preferred qualifications

  • Practical knowledge of data lakehouse architectures, such as Apache Iceberg.
  • Experience with data management tools like Airflow, Fivetran, or DuckDB.
  • Proficiency in infrastructure provisioning using Terraform.

Compensation

We offer a competitive package that supports both your professional growth and personal well-being. As a full-time member of our team, you will enjoy:

  • The flexibility of remote work options.
  • Generous paid time off to ensure a healthy work-life balance.
  • Dedicated support for your professional development and career advancement.

How to apply

If you are excited about our mission and ready to take on this challenge, we would love to hear from you. Please submit your application, and let us start a conversation about how you can contribute to our growing team.

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