As a Senior Data Engineer you will be responsible for maintaining and operating the data warehouse and connecting in Apollo’s data sources.
responsibilities :
Develop and maintain scalable data pipelines and build new integrations to support continuing increases in data volume and complexity.
Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while building the consumption pipelines.
Implement processes and systems to monitor data quality, ensuring production data is always accurate and available.
Write unit/integration tests, contributes to engineering wiki and document work.
Define company data models and write jobs to populate data models in our data warehouse.
Work closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
requirements-expected :
5+ years experience in data engineering or in data facing role
Experience in data modeling, data warehousing, and building ETL pipelines
Deep knowledge of data warehousing with an ability to collaborate cross-functionally
Bachelors degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
Proven experience leveraging AI tools by demonstrating fluency in integrating AI-driven solutions into their workflows and a willingness to stay current with emerging AI technologies
offered :
Base salary + 10% yearly bonus + equity
Contract of employment (Polish UoP via Remote.com) + AKUP 50% tax deductible costs with 70% creativity factor
100% remote work (we don’t have offices and we don’t plan to have them) - no hybrid, no forcing people to get back to the offices
Global Allianz Insurance and Medical Package covered by Apollo
