Data Engineer

Summary

Data Engineer building scalable ETL pipelines, managing PostgreSQL databases, integrating BigQuery, and analyzing trading metrics and user behavior for a trading-focused company.

You will design and maintain scalable data pipelines and ETL processes, manage PostgreSQL databases, integrate data warehouses such as BigQuery, analyze user behavior and trading metrics, create dashboards and reports, ensure data quality and security, and provide actionable insights to stakeholders.

Responsibilities

  • Design and maintain scalable data pipelines and ETL processes
  • Manage and optimize PostgreSQL databases
  • Integrate PostgreSQL with BigQuery or other data warehouses
  • Analyze user behavior trading volume and key metrics
  • Create and maintain dashboards and reports
  • Ensure data accuracy consistency and security
  • Partner with cross-functional teams to provide timely insights

Requirements

  • Bachelor’s or Master’s degree in Computer Science Data Science or a related field
  • Experience in data engineering data analysis or a similar role
  • Proficiency in SQL Python and data visualization tools
  • Experience with cloud data platforms is a plus
  • Strong problem-solving skills
  • Ability to communicate complex data insights to non-technical stakeholders

Benefits

  • Equity compensation of 0.01%–0.1%
  • Onsite or remote work option
  • Remote hiring in Europe and North America
  • Visa sponsorship available
  • Relocation allowed

See also

Data Engineering jobs by country — openings, pay and top skills →

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