Data Engineer

We are seeking a talented, self-driven and passionate Data Engineer to build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.

You’ll be part of the Data Team and collaborate across product, marketing and engineering. Our data stack: Clickhouse, AWS S3, Airflow, DBT, Kafka, BigQuery & GCP, MongoDB, Grafana, Prometheus, Tableau, GitLab, Docker, Kubernetes.

What you will do:

• Be responsible for designing, implementing, and maintaining data pipelines

• Work closely with Analytics, Product & Marketing departments to make data accessible and reliable

• Integrate and process data from APIs, databases, and flat files

• Maintain and support data platforms for analytics (e.g. Clickhouse)

• Develop monitoring over BI infrastructure

• Collaborate with stakeholders to understand data requirements and develop data-driven solutions that support business goals

What you’ll bring:

• 1-2+ years of experience as a Data Engineer or in a similar role

• Solid understanding of data principles, structures, and ETL processes

• Proficiency in SQL and Python, with hands-on experience in building data workflows and automation

• Experience with Clickhouse

• Experience with orchestration tools such as Airflow

Nice to have:

• Experience with DBT

• Experience working with external and internal APIs

• Experience with BI reporting platforms (Tableau, Looker, etc) and observability tools (Grafana)

• Experience with version control systems (Git) & containerization tools (Docker)

We offer:

• A strong team of professionals with the most ambitious goals;

• Full time, remote work, $ salary;

• Flexible start of the work day;

• Transparent culture and work environment with an emphasis on common sense;

• No bureaucracy, complex hierarchy, or micromanagement.