Senior Data Engineer - Remote
Role details
Job location
Tech stack
Job description
- Fully own and optimize our ETL pipelines , with a strong focus on the transformation layer
- Maintain and scale a robust data infrastructure , ensuring data flows reliably and on time
- Deliver high-quality, SQL-based data marts that empower self-service BI and drive smarter decision
- Monitor and uphold data quality standards
- Use modern AI tools (e.g. n8n, Cursor, CoPilot) to automate workflows and enhance data productivity
- Be the data backbone of a fast-growing HealthTech platform making real-world impact
Requirements
You'll thrive in this role if you bring a startup mindset, a drive to take ownership and enjoy working in a highly motivated, impact-driven team. You don't have to tick every box but here's what we're looking for, * Degree in Computer Science or a related field and at least 5 years of experience in data engineering
- Proven ability to build and orchestrate data pipelines using Airflow
- Proficiency in SQL and hands-on experience with data warehouse software (e.g. BigQuery , Snowflake or Databricks)
- Passion for clean, maintainable code , automation and scalable systems
Nice-to-Haves
- Exposure to GCP , Airbyte and customer data platforms like Segment or Rudderstack
- Familiarity with management of leading Business Intelligence tools (PowerBI, Looker, Metabase, Tableau)
- Familiarity with working with Jupyter Notebooks, hex.tech or Firestore
- Experience working with eCommerce or B2C marketing data (e.g. attribution modeling); previous experience with Google Tag Manager (GTM) or healthcare-related data is a big plus.
Benefits & conditions
#Healthy420: Be part of the future of healthcare, enabling safe access to medical cannabis.
#RemoteWork: Flexibly work from anywhere and showcase your skills.
#AttractiveCompensation: Enjoy a top-notch salary.
#CreativeFreedom: Your ideas matter-bring them to life!
#TeamSpirit: Collaborate with passionate small teams that make a big impact.
#GrowthOpportunities: Dedicate time to personal development and continuous learning.
Ready to make real impact with your data skills? Whether you're a pipeline wrangler or a SQL poet: if you love clean data and smart systems, you'll love it here! Standort flexibel