Senior Data Engineer

HiBob helps modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, we’ve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~4500 midsize and multinational companies.

Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively. Fast-growing companies across the globe such as Monzo, Happy Socks, Fiverr, and VaynerMedia rely upon Bob to help them create the best work experiences for their people.

Being a Bobber is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If that’s bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, we’re waiting with open arms. Come join us.

We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.

You’ll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep Hibob’s data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers – while collaborating closely with product, DevOps and analytics stakeholders.

The Platform Group accelerates Hibob’s productivity by providing developers with tools, frameworks, and infrastructure services. We design, build, and maintain critical production systems, ensuring our platform can scale reliably. We also introduce new engineering capabilities to enhance our development process. As part of this group, you’ll help shape the technical foundation that supports our entire engineering team.

• 5+ years of hands-on experience in backend or data engineering, including 2+ years at a senior level delivering production systems
• Strong coding skills in Python, Kotlin, Java or Scala with emphasis on clean, testable, production-ready code
• Proven track record designing, building and operating distributed data pipelines and storage (batch or streaming)
• Deep experience with relational databases (PostgreSQL preferred) and working knowledge of at least one NoSQL or columnar/analytical store (e.g. SingleStore, ClickHouse, Redshift, BigQuery)
• Solid hands-on experience with event-streaming platforms such as Apache Kafka
• Familiarity with data-orchestration frameworks such as Airflow
• Comfortable with modern CI/CD, observability and infrastructure-as-code practices in a cloud environment (AWS, GCP or Azure)
• Ability to break down complex problems, communicate trade-offs clearly, and collaborate effectively with engineers and product partners

• Experience building data governance or security/compliance-aware data platforms
• Familiarity with Kubernetes, Docker, and infrastructure-as-code tools
• Experience with data quality frameworks, lineage, or metadata tooling

• Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals
• Lead design and delivery of team-level projects – from RFC through rollout and operational hand-off
• Improve system observability, testing and incident response processes for the data stack
• Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards
• Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement
• Stay current with evolving data-engineering tools and bring pragmatic innovations into the team