This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Governance Engineer in Switzerland.
We are seeking a Data Governance Engineer to join a dynamic, fully remote Data Platform team. In this role, you will ensure that organizational data is discoverable, reliable, and auditable, supporting teams to trust and leverage data at scale. You will work across data engineering, platform operations, and governance enablement, contributing to metadata management, data lineage, documentation, and automation. This position provides the opportunity to directly influence data quality, observability, and self-serve analytics capabilities. You will collaborate closely with engineers, data owners, and internal stakeholders, helping to implement governance standards and streamline processes in a fast-paced, innovative environment. The role offers significant growth potential in both Data Governance and Data Engineering.
Accountabilities:
- Maintain and enhance metadata management initiatives, including column-level tagging, dataset documentation, and ownership attribution.
- Contribute to data lineage and governance practices to improve audit readiness, visibility, and compliance across pipelines.
- Support Airflow DAGs and CI/CD workflows, including pipeline updates, operational fixes, and automation tasks.
- Improve data pipeline reliability and consistency in partnership with senior engineers.
- Automate reporting and dashboards to enable self-serve analytics for internal teams.
- Promote adoption of data governance standards, processes, and tooling across teams.
- Assist internal stakeholders with ad-hoc data questions, process improvements, and platform enhancements.
Requirements:
- 2+ years of experience in data governance, data engineering, analytics engineering, or related technical roles.
- Hands-on experience with metadata management, data lineage (dataset- and column-level), and data catalog tools (e.g., DataHub or equivalent).
- Strong Python skills for automation, metadata ingestion, and governance tooling.
- Proficient in SQL for data discovery, validation, and auditing support.
- Familiarity with Airflow or similar workflow orchestration in a support or operational role.
- Understanding of end-to-end data pipelines, including dependencies and quality considerations.
- Experience supporting governance initiatives such as documentation standards, ownership models, or data quality practices.
- Problem-solving mindset with curiosity and a willingness to grow in a fast-moving data platform environment.
- Experience with dashboards or BI tools (Looker, QuickSight, Tableau) is a plus.
Benefits:
- Competitive compensation aligned with experience and market standards.
- Fully remote work with flexibility to work across multiple time zones.
- Opportunities for professional growth and skill development in Data Governance and Data Engineering.
- Collaborative, inclusive, and supportive team environment.
- Access to modern tools, technologies, and workflows for data management and analytics.
- Direct impact on data quality, governance practices, and organizational decision-making.
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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