About the Role
Role details below.
Responsibilities
- Design and evolve the architecture of the data platform and storage systems.
- Build reliable ETL/ELT processes and develop scalable data pipelines for delivering data into a centralized analytical warehouse.
- Maintain and further develop the Data Warehouse.
- Collaborate with engineering and analytics teams on system design and architectural decisions.
- Ensure data governance and maintain high standards of data quality.
- Write and optimize queries for MongoDB and ClickHouse.
- Manage and maintain workflows in Airflow.
Requirements
- 7+ years of experience as a Data Engineer.
- 5+ years of experience with Python, TypeScript, Node.js, Kafka.
- Strong understanding of data processing algorithms and principles.
- Hands-on experience with ClickHouse, Airflow, Amazon S3, Git, Docker.
- Solid understanding of Data Lake and Data Warehouse architectures.
- Experience working with large-scale data and query optimization.
- Ability to work collaboratively toward shared goals.
- Strong sense of ownership, responsibility, and proactivity.
- English level: B1+
Nice to Have
- Experience with Apache Parquet, MLflow, MongoDB.
Benefits
- Private medical insurance for the employee and their family
- 22 paid vacation days per year
- Up to 14 paid public holidays per year
- 5 company-paid sick leave days
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
- Co-working
- €50 monthly allowance to cover internet and mobile phone expenses
- Remote working
Work Arrangement
Remote (Worldwide)
Additional Information
- You will be the first engineer in the data domain, taking full ownership of the data domain.
- Opportunity to contribute to team development as the data needs grow.
- Flat structure: no politics, just great work with great people.
- Transparent company culture: sharing growth, revenue, and future plans.
- Long-term focus: equity options offered and sustained, meaningful contribution valued.
