Data Engineering Senior Analyst

Position Summary:

The Data Engineering Senior Analyst enables Talent Insights & Analytics by designing, operating, and maintaining reliable data pipelines and analytics platforms, including Databricks, that support enterprise reporting, dashboards, and advanced analytics across the Talent ecosystem. This role provides hands-on data engineering and platform expertise, ensuring data availability, integrity, security, and performance, while partnering with Talent Delivery, IMT (Information Management Technology), Digital Talent, and reporting teams to support business-critical reporting and TIA transformation initiatives.

Essential Functions:

• Data Engineering & Platform Operations
  • Design, build, and maintain robust data pipelines and transformations using Databricks, SQL, and enterprise ETL tools to support Talent reporting and analytics.
  • Develop and optimize Databricks notebooks and workflows for data ingestion, transformation, and enrichment.
  • Manage and support analytics platforms and environments (e.g., analytics sandbox, remote desktop environments, data storage, and associated services) in partnership with IT and TIA teams.
  • Ensure data reliability, performance, and scalability across production and non‑production environments.
  • Maintain a strong understanding of how Talent data flows across source systems, Databricks, and reporting layers, and advise teams on impacts of changes.
• System & Change Management
  • Coordinate and support mass data, hierarchy, and organizational changes driven by Talent or structural transformations.
  • Partner with IMT and Talent Delivery teams to Support system upgrades, releases, and enhancements impacting Databricks pipelines, data models, and downstream reports.
  • Participate in User Acceptance Testing (UAT), validation, and post‑deployment support for data and reporting solutions.
  • Proactively assess and communicate impact of system or data changes on reports, dashboards, and analytics outputs.
• Data Security, Privacy & Governance
  • Act as a subject matter expert on data security, access controls, and privacy considerations within Talent analytics platforms.
  • Support secure data access by ensuring appropriate role‑based access, data controls, and compliance with HR data privacy and legal requirements.
  • Serve as an escalation point for complex data access or security issues, partnering with operations and IT teams as needed.
  • Promote and support data governance, data quality, and standardization principles across TIA solutions.
• Support to Reporting & Analytics Delivery
  • Enable reporting and analytics teams by ensuring data pipelines and sources are stable, accurate, and fit for purpose.
  • Support delivery of business‑critical reports and dashboards in line with agreed service levels.
  • Troubleshoot data issues, investigate defects, and manage incident resolution, root‑cause analysis, and remediation.
  • Track recurring issues and contribute to continuous improvement of data engineering and platform processes.
• Stakeholder & Cross‑Team Collaboration
  • Work closely with Talent stakeholders, reporting teams, Talent Delivery, and IMT to understand data needs and translate them into technical solutions.
  • Act as a technical liaison between business users and technology teams for data‑related requirements and issues.
  • Contribute to documentation, knowledge sharing, and cross‑skilling initiatives to reduce single points of dependency.
  • Support TIA transformation by helping identify work that can be simplified, retired, or modernized

Analytical/Decision Making Responsibilities:

• Analyse complex data and reporting requirements to determine optimal data sources, transformations, and delivery approaches.
• Assess trade‑offs between speed, quality, risk, and sustainability when designing data solutions.
• Ident