About the Position

We build the technical foundation that powers our data products: robust pipelines, ingestion from internal and external sources, large-scale web scraping, data quality, and data governance. We’re looking for someone who enjoys automating, scaling, and securing data that’s ready for Analytics and Artificial Intelligence.

Responsibilities

End-to-end design and implementation of data pipelines (batch/streaming).
Integrations and large-scale web scraping with quality control and observability.
Modeling in data warehouses/lakehouses and cost/performance optimization.
CI/CD automation, reproducible infrastructure, and data security.
Collaboration with data scientists and analysts to enable use cases.

Requirements

Python for ETL/ELT and APIs; Linux; Git.
Advanced SQL; experience with data warehouses (ClickHouse or similar).
Orchestration (Airflow/Prefect) and containers (Docker).
Cloud experience (AWS/GCP/Azure).
B2 level of English or higher.

Nice to Have

Spark, Kafka, dbt, Terraform/IaC, data testing (Great Expectations).
Security and compliance (roles, secrets, audit logs).

We Offer

Full-time job
Remote first
Young, dynamic team
Private health insurance
Continuous training
ChatGPT Plus subscription
Great hardware
Real-world projects
Coffee and fruit at the office

About the Company

Join our Data Team and help us build the data market together.

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Data Engineer

Job description