Job Overview
Location
Croatia
Job Type
Full-time
Category
Data Engineer
Date Posted
March 21, 2026
Full Job Description
đź“‹ Description
- • Lead Data Engineer role focused on owning end-to-end data systems for a Berlin-based, remote-first technology company serving the automotive industry, where data reliability and engineering excellence directly impact product quality and customer trust.
- • Design, build, and maintain scalable, production-grade ETL pipelines; own and improve data quality frameworks, validation rules, and monitoring; ensure pipeline reliability through failure handling, inconsistency resolution, and late data management; deliver actionable insights to technical and non-technical stakeholders via dashboards, reporting, and alerting systems; investigate and resolve data issues with root-cause analysis for long-term stability; evaluate and improve data architecture and technology stack; contribute to team code quality, standards, and best practices; support DevOps processes as needed; align technical solutions with product goals and customer needs.
- • Join an experienced, international, remote-first team where data quality, system reliability, and thoughtful engineering are core values; the company operates in a stable growth phase with an established product and strong technical foundation, continuously enhancing its data platform to deliver reliable market intelligence for automotive clients.
- • Opportunity to shape data strategy and architecture with real ownership and impact, drive improvements in data quality and system reliability, deepen expertise in production-grade data systems, and grow as a technical leader in a collaborative, high-standard environment focused on engineering excellence and business alignment.
🎯 Requirements
- • 4+ years of experience in Data Engineering with proven ownership of production-grade data systems
- • Strong experience building and maintaining reliable ETL pipelines in production environments
- • Advanced SQL proficiency and solid understanding of data modeling principles
- • Experience with modern ETL and orchestration tools (e.g., Airflow, Dagster, Prefect)
- • Strong programming skills in Python or similar language
- • Solid understanding of data quality, validation, monitoring, and experience working with large, imperfect datasets
- • Ability to make architectural decisions, explain trade-offs clearly, and balance engineering quality with business needs
🏖️ Benefits
- • Real ownership over data architecture and quality with direct influence on product, customers, and business decisions
- • Remote-first setup with flexible working conditions, enabling work from anywhere in Europe
- • Stable, established product and strong, experienced team providing a secure foundation for long-term growth
- • Collaborative, international environment with high engineering standards and continuous learning opportunities
- • Opportunity to improve and scale an existing data platform in a meaningful, impact-driven role
Skills & Technologies
About Onhires Inc.
Onhires is a talent acquisition platform designed to streamline the hiring process for businesses. It offers a comprehensive suite of tools that automate and optimize various stages of recruitment, from sourcing candidates to onboarding new hires. The platform aims to reduce time-to-hire and improve the quality of hires by leveraging intelligent automation and data-driven insights. Key features include applicant tracking, candidate sourcing, interview scheduling, and performance analytics, all integrated into a user-friendly interface. Onhires serves companies seeking to enhance their recruitment efficiency and build stronger teams by making the hiring journey more effective and less resource-intensive.
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