We are a newly formed data & analytics team of three, having built the foundation of our modern data platform using Airflow, dbt, Snowflake, and Looker.
We are actively cleaning, aligning, and integrating multiple data sources, including marketing, finance, and product usage data, into a centralized and governed system.
We are looking for a Data Engineer to help transform fragmented data sources into robust, scalable pipelines and analytical assets that support self-serve reporting and advanced analysis across our product and go-to-market teams.
As our Data Engineer, you will be responsible for building, monitoring, and maintaining scalable ELT pipelines using Airflow, dbt, and Snowflake.
You will design and implement efficient data models to support analytics and BI use cases.
You will collaborate with data analysts and stakeholders to ensure data reflects business logic accurately.
You will maintain and improve integrations with systems like PostgreSQL, ClickHouse, Chargebee, HubSpot, and others.
You will implement testing and data quality checks across pipelines and reporting layers.
You will contribute to the evolution of our governance strategy, including asset ownership and documentation.
Requirements:
You should have 4+ years of experience in Data Engineering roles, ideally within B2B SaaS or fast-paced tech environments.
You must have strong proficiency in SQL and Python.
You should have practical experience working with orchestration tools (Airflow) and ELT tools (dbt).
You need a solid understanding of data warehousing principles and data modeling best practices in Snowflake.
You should be comfortable handling complex, high-granularity datasets and optimizing for performance.
You must have experience integrating SaaS tools like HubSpot or Chargebee.
You should have experience implementing monitoring, testing, and alerting for data workflows.
You need to be a clear, structured thinker who values high-quality, maintainable code.
Benefits:
We offer a focus on professional development.
You will work on interesting and challenging projects.
The position allows for fully remote work with flexible working hours, enabling you to schedule your day and work from any location worldwide.
You will receive paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
We provide compensation for private medical insurance.
You will have co-working and gym/sports reimbursement.
There is a budget for education.
You will have the opportunity to receive a reward for the most innovative idea that the company can patent.
