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Keyloop

HR Tech Data Engineer

Posted Yesterday
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Hyderabad, Telangana
Mid level
In-Office or Remote
Hiring Remotely in Hyderabad, Telangana
Mid level
The HR Tech Data Engineer will own the People Technology ecosystem, manage data architecture and analytics dashboards, integrate AI solutions, and ensure data compliance while partnering with senior leadership.
The summary above was generated by AI
Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers.
We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs.
 
We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it?
 
 

Purpose of the Role :
 

This is a rare and distinctive role at the intersection of People, Technology, and AI.

You will own Keyloop’s People Technology ecosystem and HR data infrastructure, including rebuilding a Python-based analytics platform connected to our data lake and core HR systems. This platform will deliver secure, SSO-enabled insights  and power reporting across People Analytics, Talent Acquisition, L&D, and Engagement. You will also lead integrations with systems such as SAP SuccessFactors.

Alongside this, you will act as an internal expert in agentic AI. You will enable teams to confidently use AI and data, combining hands-on building with strong teaching and influencing.

Operating with high autonomy, you will partner with senior leadership to shape both what we build and how AI is adopted globally.

Role & Resonsibilities

  • Own and evolve Keyloop’s People Data Platform and HR analytics dashboard (Python/Streamlit), delivering  insights via SSO
  • Design and maintain data architecture (pipelines, schemas, models) across SAP SuccessFactors and other HR systems
  • Manage API integrations and data access with core platforms and third-party vendors
  • Deliver insights across People Metrics, TA, L&D, and Engagement, partnering with functional leads
  • Own BAU reporting, driving accuracy, automation, and self-service adoption
  • Ensure GDPR and data compliance, including access controls and auditability
  • Build and scale AI-driven HR solutions (LLMs, agentic workflows, document processing, large-scale pipelines)
  • Develop production-ready AI use cases (e.g., attrition insights, skills inference, policy Q&A, candidate processing) and evaluate emerging tools
  • .Act as HR AI SME, enabling adoption through training, playbooks, and self-service frameworks across HR and G&A
  • .Partner with senior leadership, IT (AWS), and governance forums to shape the People Technology roadmap and responsible AI practices

Skills & Experience

    Essential
  • Strong Python expertise building production-grade data applications, dashboards, or tools.
  • Hands-on experience in data engineering (ETL pipelines, API integrations, data modelling).
  • Proven track record integrating LLM/AI APIs (e.g., Anthropic, OpenAI) into live applications.
  • Solid knowledge of AWS and modern data/visualisation frameworks (e.g., Streamlit, Plotly).
  • Experience with SSO/authentication (OAuth2, SAML, Azure AD / Entra ID).
  • Strong data literacy and storytelling, with the ability to communicate insights to non-technical audiences.
  • High autonomy with a rigorous approach to data privacy, security, and compliance.
  • Desirable
  • Experience with SAP SuccessFactors or similar HRIS, including API/OData integration.
  • Proficiency in Power BI (data modelling, DAX, dashboards).
  • Familiarity with agentic AI frameworks (e.g., LangChain, CrewAI).
  • Experience designing or delivering learning/upskilling programmes.
  • Understanding of HR data domains (e.g., headcount, attrition, hiring, engagement).
  • Exposure to Azure ecosystem and/or Terraform.
  • Experience working with senior stakeholders, vendors, and global teams.

Why join us?
We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way.
 
An inclusive environment to thrive
We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity.  We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day.
 
Be rewarded for your efforts
We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration.
 
Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials.
 
We are also an equal opportunity employer committed to building a diverse and inclusive workforce.  We value diversity and encourage candidates of all backgrounds to apply.
 
"At Keyloop, AI is a daily ally: We encourage and train every employee to use our AI tools to boost their creativity and productivity." 

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