[Hiring] HR Tech Data Engineer @Keyloop

Role Description

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, enabling 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 & Responsibilities

• People Data Platform & Dashboard
  • Own the rebuild and ongoing development of the HR analytics dashboard, a Python/Streamlit application connected to our data lake, surfaced to ELT and SLT via SSO.
  • Design and maintain the data architecture underpinning the platform: pipelines, schemas, and data models drawing from SAP SuccessFactors and other People platforms.
  • Develop and manage API integrations with core HR technology platforms, negotiating and owning data access arrangements where required.
  • Build and maintain dedicated dashboard views for People Metrics, Talent Acquisition, Learning & Development, and Employee Engagement, collaborating with respective functional leads.
  • Own BAU reporting across the HR function, ensuring outputs are accurate and timely while continuously driving automation and self-service evolution.
  • Ensure all people data is handled in compliance with GDPR and applicable local data protection law, maintaining appropriate access controls and audit trails.
  • Collaborate with third-party contacts to establish, troubleshoot, and evolve data feeds and API connections.
• HR AI & Intelligent Tooling
  • Build and maintain AI-powered workflows and tooling for the People function, including LLM-based automations, agentic pipelines, and intelligent document processing.
  • Develop production-ready HR AI applications using the Anthropic API and other LLM platforms, covering use cases such as attrition signal detection, skills inference, policy Q&A, and candidate processing.
  • Design and implement batch processing pipelines for large-scale HR data tasks, including document analysis, contract review, and data audits.
  • Evaluate emerging AI tools and frameworks and make pragmatic, well-reasoned recommendations on adoption.
• AI Enablement & Learning
  • Act as the internal subject matter expert on agentic AI for the HR function, sharing knowledge, running sessions, and building practical AI capability in the HR space.
  • Design and deliver AI and data literacy learning for HR and G&A colleagues.
  • Support G&A function leads in identifying their own AI and data opportunities, helping them build the confidence to own their journey rather than depend on a central resource.
  • Develop reusable frameworks, playbooks, and self-service tooling that allow non-technical colleagues to work effectively with AI and data.
  • Champion responsible AI adoption, helping colleagues understand governance, data privacy, and risk alongside the opportunity.
• Stakeholder Engagement & Governance
  • Engage directly with leadership as the owner of the People data dashboard, presenting insight, responding to requests, and managing the product roadmap.
  • Work closely with senior HR leadership to align the People Technology roadmap with the broader People strategy and business priorities.
  • Partner with IT Infrastructure on cloud architecture (AWS), pipeline deployment, and alignment to Keyloop’s technology standards.
  • Contribute to Keyloop’s wider AI governance and data ethics approach, representing the People function’s interests and requirements.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.
• An inclusive environment to thrive, respecting all dimensions of diversity.
• Pay and benefits reflect performance and are designed to attract the very best talent.
• Opportunities for career growth through investment in development and a culture of support and collaboration.