TL;DR

Data Engineer (Python/SQL): Building and maintaining a robust data platform with an accent on data quality, monitoring, and documentation practices. Focus on developing ETL/ELT pipelines, implementing monitoring systems, and ensuring data accuracy.

Location: Remote (within ± 4 hours of CET)

Company

Leading tech company creating innovative consumer products across health, education, and entertainment.

What you will do

Develop and maintain ETL/ELT data pipelines.
Design monitoring and alerting systems for data quality.
Establish data quality validation checks.
Create and maintain documentation of data workflows.
Troubleshoot data pipeline issues.
Collaborate with stakeholders on data requirements.

Requirements

Proficiency in Python and strong SQL skills.
Experience with cloud data warehouses (ClickHouse, BigQuery).
Hands-on experience with DBT and Airflow.
Ability to write clear technical documentation.
Strong problem-solving skills.

Nice to have

Experience with Google Tag Manager and Javascript.
Familiarity with observability tools (Grafana, Prometheus).

Culture & Benefits

Remote work environment promoting work-life balance.
Unlimited paid time off.
Company-provided MacBook.
Flexible independent contractor agreement.

Hiring process

Recruiter screening (40 minutes).
Technical interview (90 minutes).