HR Tech Data Engineer

🕒 May 18

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Keyloop

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Keyloop is a provider of cloud-based software and services that power automotive retail, helping dealerships, OEMs and automotive groups manage sales, marketing, inventory, service and finance across online and showroom channels. Its Fusion Automotive Retail Platform (Sales Hub, Acquisition Hub, Vehicle Hub, Service Hub), Keyloop DMS and VEGA predictive intelligence streamline operations, improve profitability, and connect dealer workflows through integrations and a partner ecosystem. Keyloop primarily delivers enterprise SaaS solutions to automotive businesses as a B2B technology provider.

📋 Description

• Own and evolve Keyloop’s People Data Platform and HR analytics dashboard (Python/Streamlit) • 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

🎯 Requirements

• 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). • Understanding of HR data domains (e.g., headcount, attrition, hiring, engagement).

🏖️ Benefits

• An inclusive environment to thrive • Collaborative opportunities with industry experts • Training and support for new ideas • Investment in employee development • Equal opportunity employer