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Data Engineer

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Description

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 (must-haves)

  • Python for ETL/ELT and APIs; Linux; Git.
  • Advanced SQL; experience with data warehouses (ClickHouse o 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).

Data Team

Benefits

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

Apply and start build the data market together.

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