Lead Data Engineer

We are looking for a Lead Data Engineer in Warsaw.

This role is for someone who wants to do more than just keep pipelines running. It’s a chance to build the data backbone for People Analytics and AI in a global enterprise setting.

You’d be working on the lakehouse foundation that brings together data from systems like SAP, ServiceNow, and more, with a strong focus on governance, scalability, and serving real business and AI use cases.

It’s a great fit for someone who enjoys ownership, likes building things properly, and wants their work to directly enable analytics, internal products, and AI solutions.
If you know someone strong in data engineering who may be a fit, I’d appreciate a share.

About the job

The Lead Data Engineer is responsible for building, maintaining, and continuously improving the central HR data lake that aggregates data from all systems. In this role, you will ensure the availability of reliable, analytics-ready datasets for internal tools, AI-driven applications, and cross-functional teams. You will act as a key partner to analysts, IT, and business stakeholders, enabling trusted insights, data-driven decisions, and smooth operation of the enterprise HR data ecosystem.

More About The Role

• Build and operate a Databricks Lakehouse / Data Lake for enterprise HR data.
• Integrate multiple data sources (e.g., SAP SuccessFactors, ServiceNow) to ensure seamless and accurate data flow.
• Implement and maintain analytics-ready data models in dbt and convert exploratory datasets into reusable, trusted derived datasets.
• Develop, refactor, and optimize data pipelines using AI-assisted coding tools (CLI-first) in Databricks for speed, quality, and maintainability.
• Provide curated datasets for internal tools, AI-driven applications, and reporting purposes.
• Partner with analysts and business stakeholders to understand data requirements and translate them into robust technical solutions.
• Monitor and improve data quality, governance, and performance across all pipelines and datasets.

More About You

• Minimum 5 years of experience in data engineering.
• Strong hands-on experience with Databricks, SQL, and Python.
• Extensive experience with analytics engineering tools such as dbt.
• Skilled in designing modular data systems (Design Thinking approach).
• Experience enforcing data governance and access management practices.
• Curious, pragmatic, and solution-oriented mindset.
• Careful and disciplined in handling sensitive data.
• Strong awareness of privacy, security, and compliance requirements.
• Fluent in English

More About What We Offer As one of the world’s leading hearing care providers headquartered in Switzerland, we are committed to building an inclusive culture. We create an environment where you can balance a successful career with your commitments and interests outside of work through our flexible hybrid working model. We offer a wide range of training opportunities for both your professional and personal development, along with exceptional growth opportunities supported by individual development plans.

Magdalena Suszek, Talent Acquisition Partner, is looking forward to receiving your application via our online job application platform. For this vacancy only direct applications will be considered.

Sonova is an equal opportunity employer. We team up. We grow talent. We collaborate with people of diverse backgrounds to win with the best team in the market place. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate’s ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.