About the role
We are looking for a Senior Data Engineer with experience in modern cloud data platforms. The role focuses on building, orchestrating, and maintaining reliable data pipelines and transformation workflows using a modern data stack centered around Snowflake, dbt, and Apache Airflow.
This role combines data engineering expertise with DataOps practices, ensuring scalable, well-governed, and automated data workflows.
What you'll do
- Design and maintain data pipelines and ELT workflows within a modern cloud data platform.
- Build and maintain data transformation models using dbt, including testing, documentation, and modular data modeling.
- Orchestrate and monitor workflows using Apache Airflow.
- Manage and optimize Snowflake data warehouse environments, including performance and cost efficiency.
- Implement DataOps practices such as CI/CD, automated testing, and deployment for data pipelines.
- Ensure data quality, reliability, and observability across the data platform.
- Collaborate with analytics, product, and engineering teams to deliver reliable datasets and data products.
- Improve monitoring, automation, and operational processes for the data platform.
What we're looking for
- 7+ years of experience in Data Engineering or similar roles
- Strong hands-on experience with:
- Snowflake
- Apache Airflow
- dbt (data build tool)
- Strong SQL expertise
- Experience building and managing ELT pipelines
- Experience with Git and collaborative development workflows
- Familiarity with DataOps / CI/CD practices for data pipelines
- Solid understanding of data modeling and data warehouse architecture
Nice to have
- Experience with Databricks platform and its ecosystem
- Knowledge of Scala for Spark development
- Knowledge of AWS data ecosystem
- Familiarity with linked data concepts and JSON-LD format
Perks and benefits
- Private medical insurance
- National holidays off, even when falling on weekends
- Loyalty leave: +1 day/year
- Continuous professional development opportunities
- Sports subscription programs
- Referral bonuses for bringing in new talent
- Meal tickets
- Bookster subscription for reading & learning
- Community and team-building events
- Flexible and unlimited remote work policy
