Senior Data Engineer - Remote

Overview

As a Senior Data Engineer, you will be responsible for building and maintaining robust data pipelines and infrastructure, enabling critical data-driven insights, and supporting the demands of AI products.

In Short

• 5+ years of experience in data engineering.
• Proficient in SQL and data warehousing tools like BigQuery.
• Solid expertise in Python.
• Hands-on experience with Airflow and dbt.
• Ownership of data pipelines ensuring reliability and efficiency.
• Creating integrations between diverse data sources.
• Adept at managing data infrastructure costs.
• Experience with GCP and PubSub is preferred.
• Proactive in identifying improvements in data infrastructure.
• Contributing to strategic decisions regarding data architecture.

Requirements

• 5+ years of experience in data engineering.
• Proficiency in SQL.
• Experience with BigQuery.
• Strong skills in Python.
• Experience with Airflow and dbt.
• Knowledge of GCP and PubSub.
• Experience with Kubernetes and IaC is a plus.
• Ability to mentor less experienced team members.
• Strong problem-solving skills.
• Strategic thinking capabilities.

Benefits

• Competitive salary with stock ownership program.
• Clear career progression with mentorship.
• Dedicated learning budget.
• Flexitime agreement for work schedule.
• Flexible workation policy.
• Commuter benefits.
• Subsidized wellness activities.
• Extra vacation day on your birthday.
• Regular team events and activities.
• Work remotely in Austria or Germany.