OnHires
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.
Founding Data Engineer – Analytics Platform
Job not on LinkedIn
🔥 0 minutes ago
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
OnHires
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
• Build the Data Platform • 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 (Snowflake, BigQuery, or Redshift) • Build reliable orchestration workflows using Airflow, Prefect, or similar tools • Optimize warehouse performance and cost through efficient data modeling and query optimization • Ensure Data Quality & Governance • Develop clean, testable transformation layers using dbt or equivalent frameworks • Design a semantic layer that provides consistent business metrics across the organization • 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 • Partner Across Engineering & Product • Work closely with Product and Growth teams to support product analytics, experimentation, subscription metrics, and business reporting • Collaborate with software engineers on event tracking, data contracts, and API integrations • Promote DataOps best practices, including CI/CD, version control, testing, and documentation-as-code
🎯 Requirements
• 3+ years of experience as a Data Engineer or in a similar role • Strong SQL skills and proficiency in Python (Scala is a plus) • Hands-on experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift • Experience with workflow orchestration tools including Airflow, Prefect, Dagster, or similar • Strong understanding of data modeling and experience with dbt or comparable transformation frameworks • Experience designing and maintaining production-grade data pipelines • A strong sense of ownership and a commitment to building reliable, high-quality data systems • Ability to communicate technical concepts clearly to cross-functional stakeholders • Experience implementing secure, privacy-conscious data practices
🏖️ 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
Apply Now
