Role Description & Responsibilities
Data Engineering
About Elastic
Elastic is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.
CadetX Candidate Advantage: As an applicant for this Data Engineering role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.
CadetX Role Brief & Company Specifications
Role Mission & Impact
This is a hands-on build role that will develop and maintain HR's data pipelines on our GCP/BigQuery/dbt data model, with an AI-powered analytics layer on top. Core platform infrastructure is provisioned centrally; you'll help configure HR-specific pipelines and dbt modeling work on top of it, in partnership with our data scientist, and stand up recruiting reporting and insights as the first production use case on the new stack. This role reports directly to the Director of HR Analytics, with high visibility into architecture and stakeholder-facing decisions from day one.
Your mission is to move the organization away from manual reporting and toward a mature, self-service environment where senior stakeholders get decision-ready answers, not just data.
Key Responsibilities & Day-to-Day Scope
- ✓ Build and maintain data pipelines in BigQuery/dbt, on infrastructure provisioned by the central data platform team, that link HR data across the employee lifecycle (Workday, Greenhouse, Qualtrics, ServiceNow), so we can trace how hiring decisions affect long-term engagement and retention.
- ✓ Support and enhance the AI-powered analytics user experience.
- ✓ Develop scalable, self-service dashboards that reduce time spent on reactive, one-off data requests.
- ✓ Implement data governance practices (access controls, validation, documentation) in line with team standards for sensitive HR and compensation data.
- ✓ Build data proficiency across the broader HR team as part of the shift to self-service.
- ✓ Automate recurring recruiting reports to eliminate manual data wrangling.
- ✓ Translate talent data into insights that identify pipeline bottlenecks, improve candidate experience, and improve hiring efficiency.
- ✓ Monitor recruiting data for anomalies and build validation checks to establish one version of the truth across systems.
- ✓ 2+ years of hands-on experience building and maintaining data pipelines in Google Cloud Platform (GCP).
Official Qualifications & Technical Requirements
- • Strong SQL and Python skills.
- • Direct experience extracting and modeling data from at least one major HRIS or ATS platform (e.g., Workday, Greenhouse) via its reporting or API layer. General dashboard-level reporting experience is not a substitute.
- • Demonstrated ability to build custom dashboards and data visualizations using standard BI platforms (e.g., Looker, Tableau) or code-based environments (e.g., Python, Streamlit, Plotly).
- • Broad understanding of HR programs and metrics across the employee lifecycle, including recruiting.
- • Strong storytelling and presentation skills for both VP/executive and non-technical audiences.
- • Experience working across geographies and time zones, tailoring insights to diverse audiences.
- • A point of view on AI/LLM-based analytics tools and how they simplify insight delivery – direct experience implementing one is a plus.
- • A builder's approach: comfortable creating solutions, frameworks, and processes with limited existing scaffolding, while working within a set architectural direction.
Preferred Skills & Technology Stack
- + Experience with big data tools (Apache Spark, Kafka, Flink) and cloud platforms (AWS, Azure, GCP).
- + Familiarity with dbt (data build tool) for SQL transformations.
- + Hands-on experience with Docker and Linux system administration.
Tech Stack & Tools in this role
Expected technical competencies for Day 1 productivity:
★ Life & Culture at Elastic
Verified EmployerElastic champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.