Founding Data Engineer – Analytics Platform

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OnHires

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

OnHires is a global IT recruitment and staffing partner that sources, vets, and places technical and creative talent for fast-growing companies. They provide services including vetted developers, sourcing, executive search, talent mapping, RPO, HR consulting, and flexible hiring models (subscription, pay-per-hire, hourly), with a focus on fast, high-quality hires and scalable talent pipelines.

📋 Description

• Design, build, and maintain scalable ELT/ETL pipelines integrating product data, payment providers, and third-party APIs • Architect and own the company's cloud data warehouse • Build reliable orchestration workflows • Optimize warehouse performance and cost through efficient data modeling and query optimization • Develop clean, testable transformation layers • Design a semantic layer providing consistent business metrics • Implement data quality testing, monitoring, lineage, and documentation • Build security and governance into the platform, including access controls, PII handling, and privacy-aware data practices • Support product analytics, experimentation, subscription metrics, and business reporting • Collaborate with software engineers on event tracking, data contracts, and API integrations • Promote DataOps practices including CI/CD, version control, testing, and documentation-as-code • Work directly with the Head of Data and help define architecture, build core infrastructure, and establish engineering standards

🎯 Requirements

• 3+ years of experience as a Data Engineer or in a similar role • Strong SQL skills and proficiency in Python • Hands-on experience with Snowflake, BigQuery, or Redshift • Experience with Airflow, Prefect, Dagster, or similar orchestration tools • Strong understanding of data modeling and experience with dbt or comparable frameworks • Experience designing and maintaining production-grade data pipelines • Experience implementing secure, privacy-conscious data practices • Scala is a plus • Nice to have: experience in a B2C SaaS, subscription, or marketplace business • Nice to have: familiarity with Segment, Amplitude, Mixpanel, or similar product analytics platforms • Nice to have: experience designing semantic layers or canonical data models • Nice to have: exposure to Kafka or Kinesis • Nice to have: experience with ML infrastructure or feature stores • Nice to have: previous experience building a data platform in a startup or scale-up environment

🏖️ Benefits

• Competitive compensation • Fully remote work with flexible working hours • 22 paid vacation days plus local public holidays • A modern engineering environment with contemporary technologies • The opportunity to help shape a growing Data function from an early stage • Meaningful technical challenges with room to influence architecture and engineering practices • A collaborative, product-focused team where data plays a central role in decision-making