Job Description

Data Platform Ownership: Build, maintain, and drive the transition to our new Data Platform (Dagster, dbt, AWS ECS, and GCP GBQ). You will build a product that acts as a foundation for other data teams, improving their efficiency through custom-made tooling, monitoring, data-checks, connectors, cost controlling, testing, CI/CD, cataloging, etc.
Core-ELT Pipelines: Maintain and optimize the biggest and most fundamental pipelines in the company.
Core-Reports Delivery: Take responsibility for the most critical reports in the company, which serve as the foundation for executive board decisions and act as a base for data teams in other departments.

Qualifications

Hands-on experience in Data Engineering or Software Engineering, particularly with high-volume, business-critical pipelines.
Experience maintaining and building modern data platforms.
Modern data platform experience (we use Dagster, dbt, BigQuery, and AWS ECS). If you’ve built similar setups with equivalent tools, your skills will transfer easily
Strong software engineering fundamentals (CI/CD, testing, best practices, design patterns) applied to data engineering.
Expert-level SQL and Python skills.
Knowledge of infrastructure setups (docker, terraform/cloudformation).
You’re pragmatic and can tell when the best-practice version is worth another week and when it’s time to just ship.
You communicate effectively, grasp complex processes easily and communicate concisely with diverse stakeholders (fluent in English), cutting through noise to focus on what matters.

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Responsibilities

Data Platform Ownership: Build, maintain, and drive the transition to our new Data Platform (Dagster, dbt, AWS ECS, and GCP GBQ). You will build a product that acts as a foundation for other data teams, improving their efficiency through custom-made tooling, monitoring, data-checks, connectors, cost controlling, testing, CI/CD, cataloging, etc.
Core-ELT Pipelines: Maintain and optimize the biggest and most fundamental pipelines in the company.
Core-Reports Delivery: Take responsibility for the most critical reports in the company, which serve as the foundation for executive board decisions and act as a base for data teams in other departments.

Hands-on experience in Data Engineering or Software Engineering, particularly with high-volume, business-critical pipelines.
Experience maintaining and building modern data platforms.
Modern data platform experience (we use Dagster, dbt, BigQuery, and AWS ECS). If you’ve built similar setups with equivalent tools, your skills will transfer easily
Strong software engineering fundamentals (CI/CD, testing, best practices, design patterns) applied to data engineering.
Expert-level SQL and Python skills.
Knowledge of infrastructure setups (docker, terraform/cloudformation).
You’re pragmatic and can tell when the best-practice version is worth another week and when it’s time to just ship.
You communicate effectively, grasp complex processes easily and communicate concisely with diverse stakeholders (fluent in English), cutting through noise to focus on what matters.