HR Tech Data Engineer in India at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a [HR Tech Data Engineer] in [Canada].

Join a forward-thinking and highly collaborative environment where technology, data, and people operations intersect to drive innovation across global business functions. In this role, you will take ownership of the HR technology ecosystem, designing and optimizing scalable data infrastructure while enabling AI-driven transformation within HR and broader support teams. You’ll work hands-on with analytics platforms, integrations, automation workflows, and intelligent tools that improve operational efficiency and decision-making. This is an exciting opportunity for someone who enjoys building systems from the ground up, influencing strategy, and translating complex technical concepts into practical business solutions. The position offers significant autonomy, exposure to senior stakeholders, and the chance to shape the future of AI adoption in a rapidly evolving digital environment. If you are passionate about data engineering, HR technology, and innovative problem-solving, this role offers both impact and growth on a global scale.

• Own and develop the HR analytics and reporting infrastructure, ensuring dashboards remain accurate, scalable, and valuable for leadership decision-making.
• Design, implement, and maintain data pipelines, ETL processes, API integrations, and secure data architectures across HR platforms and business systems.
• Build and optimize AI-powered workflows and intelligent automation tools to improve HR operations, reporting, and employee experience.
• Develop practical AI applications leveraging LLM APIs and related technologies for use cases such as analytics, document processing, and policy support.
• Collaborate with People, Finance, Legal, Facilities, and IT teams to identify automation opportunities and improve operational efficiency.
• Drive adoption of AI and data literacy initiatives by leading workshops, providing guidance, and supporting internal capability building.
• Ensure compliance with privacy, security, and governance standards when handling sensitive employee and organizational data.
• Partner with leadership to align the People Technology roadmap with broader business priorities and long-term strategic goals.

• Proven experience developing production-grade data applications, dashboards, or internal platforms using Python.
• Strong hands-on expertise in data engineering, including ETL pipelines, API integrations, and transformation of multi-source datasets.
• Practical experience working with AI/LLM APIs such as Anthropic, OpenAI, or similar technologies in production environments.
• Solid understanding of AWS infrastructure, cloud-based deployment practices, and data visualization tools such as Streamlit or Plotly.
• Experience with enterprise authentication protocols including OAuth2, SAML, and identity management platforms like Azure AD/Entra ID.
• Strong understanding of data privacy, governance, and compliance requirements, particularly in relation to HR or employee data.
• Excellent communication and facilitation skills, with the ability to explain technical concepts clearly to non-technical stakeholders.
• Highly autonomous mindset with the ability to manage priorities independently and work closely with senior leadership.
• Experience with HRIS platforms such as SAP SuccessFactors, Power BI, Terraform, Azure, or agentic AI frameworks is considered a plus.

• Competitive compensation package aligned with experience and performance.
• Opportunity to work on cutting-edge AI and HR technology initiatives with high organizational impact.
• Flexible and collaborative remote-friendly work environment.
• Career growth opportunities supported by continuous learning and professional development.
• Inclusive and diverse workplace culture that values innovation, collaboration, and individual contribution.
• Access to global teams, industry expertise, and cross-functional projects.
• Exposure to advanced technologies and large-scale digital transformation initiatives.
• Supportive environment that encourages experimentation, creativity, and skill development.