Data Warehouse Engineer

AWS · Data Warehouse Team · Hybrid

Build the cloud data platform behind enterprise-scale telecommunications analytics — on a team small enough that your code actually ships and your decisions actually count.

We're hiring a hands-on Data Engineer who loves untangling messy data problems, building pipelines people can rely on, and working shoulder-to-shoulder with the teams who depend on them. You won't be a cog in a 40-person org chart. You'll own real surface area, shape technical direction, and see your work in production fast.

Our stack is modern and fully AWS-native: S3, Athena, Redshift, Glue, Lambda, and Terraform, with SQL and Python as your daily drivers.

What you'll do

• Design, build, and optimize ETL/ELT pipelines across our AWS environment

• Ship scalable reporting and analytics solutions on cloud-native tooling

• Partner directly with stakeholders to turn fuzzy requirements into clean data products

• Write SQL and Python that's reliable, readable, and built to last

• Evolve our data warehouse architecture and data models

• Manage infrastructure the right way — Terraform and IaC, not click-ops

• Bring ideas to solution design and continuous-improvement conversations

• Diagnose data-quality issues and pipeline failures, and keep production stable

What you bring

• 5+ years as a Data Engineer, ETL Developer, or similar

• Strong, daily-use SQL and Python for data processing and pipeline work

• Hands-on experience with AWS data services (S3, Athena, Redshift, Glue)

• A track record building and maintaining ETL/ELT pipelines

• Genuine communication skills — you can hold your own with cross-functional stakeholders

• Comfort contributing to technical analysis and solution discussions

• Happy with a hybrid setup

Nice to have

• Terraform / Infrastructure as Code

• Cloud data warehouses (Redshift, Snowflake, or BigQuery)

• CI/CD practices

• Agile team experience

Why you'll want in

• Modern tooling, no legacy baggage — a clean AWS-native stack

• Real ownership — contribute directly to technical decisions and platform improvements

• Scale that matters — enterprise-grade telecom and analytics platforms

• A lean, senior team — work closely with experienced technical leadership and grow fast

Sound like your kind of problem? We'd love to talk.