HR Tech Data Engineer

Reposted 5 Days Ago
Be an Early Applicant
Hiring Remotely in Hyderabad, Telangana, IND
In-Office or Remote
Mid level
Automotive • Retail • Software
The Role
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.
Summary Generated by Built In
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 :
 

A distinctive role inside the People function. You will be the technical owner of Keyloop’s People Technology and data infrastructure, and a key enabler of AI adoption across HR and the wider G&A functions (Finance, Legal, Facilities, and others).

You will rebuild and own our HR analytics platform, build the integrations and pipelines behind it, and act as our internal expert on AI adoption. The role combines hands-on building with teaching and influencing, working autonomously with senior leadership and external partners.

Role & Resonsibilities

    People Data Platform & Dashboard

    • Own and develop the HR analytics dashboard, keeping it accurate, accessible, and useful to senior leadership.
    • Design and maintain the underlying data architecture, pipelines, and API integrations with core HR platforms.
    • Build dedicated views for People Metrics, Talent Acquisition, Learning & Development, and Employee Engagement, working with each functional lead.
    • Run BAU HR reporting while driving automation, self-service, and GDPR-compliant data handling.
    • HR AI & Intelligent Tooling

      • Build and maintain AI-powered workflows and tools (automated processes, intelligent pipelines, document processing).
      • Develop production HR AI applications using the Anthropic API and other platforms (e.g. attrition analysis, policy Q&A, candidate processing).
      • Evaluate emerging AI tools and frameworks and make pragmatic recommendations on adoption.
      • AI Enablement & Learning

        • Be the go-to AI expert for HR, running sessions and building practical confidence across the team.
        • Help HR and G&A colleagues (Finance, Legal, Facilities) spot AI and data opportunities and build capability themselves.
        • Champion responsible AI use, balancing opportunity with governance, privacy, and risk.
        • Stakeholder Engagement & Governance

          • Own the People dashboard as a product, presenting insight directly to leadership and managing priorities.
          • Align the People Technology roadmap with HR strategy and business priorities.
          • Partner with IT on AWS infrastructure, deployment, and Keyloop’s technology standards.

Skills & Experience

    Essential

    • Proven Python development with production experience building data applications, dashboards, or internal tools.
    • Hands-on data engineering: ETL pipelines, API integrations, transforming data from multiple sources.
    • Production experience with AI/LLM APIs (Anthropic, OpenAI, or similar), not just prototypes.
    • Solid AWS knowledge and data visualisation frameworks (Streamlit, Plotly, or equivalent).
    • SSO and enterprise authentication (OAuth2, SAML, Azure AD / Entra ID).
    • Strong data literacy and rigour around privacy, security, and compliance for sensitive employee data.
    • Excellent communication and facilitation skills, able to teach technical concepts to non-technical audiences.
    • Highly autonomous, comfortable as the sole technical contributor.
    • Desirable

      • SAP SuccessFactors or similar HRIS, including API or OData integration.
      • Power BI: data modelling, DAX, and dashboards for non-technical audiences.
      • Agentic AI frameworks (e.g. LangChain, CrewAI).
      • Experience designing or delivering digital learning programmes.
      • Microsoft Azure and/or Terraform.

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." 

Skills Required

  • 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 into live applications.
  • Solid knowledge of AWS and modern data/visualisation frameworks.
  • Experience with SSO/authentication protocols.
  • Strong data literacy and storytelling ability.
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The Company
HQ: Reading
2,035 Employees

What We Do

As the largest global automotive technology company, Keyloop delivers cutting-edge solutions, tailored to the modern needs of auto retailers and OEMs alike. With 40 years of automotive DNA, and a deep understanding of what it takes to drive success, Keyloop solutions are delivered in over 90 countries, and trusted by more 20,000 retailers and 80 OEMs worldwide. From the showroom to the workshop, and everything in between, its technology facilitates distinctive customer experiences between key systems, tools and departments. With modern consumers demanding increasingly high levels of service and responsiveness, Keyloop and their partners connect retailers and OEMs to consumers through every step of their journey. Keyloop delivers a proven technology ecosystem that redesigns the automotive retail experience to cultivate lasting loyalty and optimise margins through increased efficiency, elevated experiences, and unrivalled connected data. For more information, please visit www.keyloop.com

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