Data Engineering Senior Analyst

About the role

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.

Responsibilities

• 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.
• 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.
• 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.

Technical & Functional Skills

• Strong experience in data engineering and analytics environments, ideally within HR or Talent domains.
• Hands-on experience with Databricks (data pipelines, notebooks, jobs, workflows, performance tuning).
• Proficiency in SQL and experience with SSIS, SSMS, or equivalent data integration and transformation tools.
• Solid understanding of data architectures, ETL processes, data modelling and reporting ecosystems.
• Knowledge of HR data, people metrics, and Talent processes (e.g., recruiting, learning, performance, workforce data).
• Strong awareness of data privacy, information security, and data quality principles.

Supervision & Collaboration

• Works closely with other data engineers, reporting analysts, and operations resources to ensure consistent and reliable delivery.
• Builds and maintains effective working relationships with senior stakeholders across Talent, Digital, and Technology teams.
• Contributes to mentoring, knowledge sharing, and strengthening team capability.
• Able to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment.

Other Requirements

• Due to the global nature of the role, flexibility across time zones and occasional travel may be required.
• Excellent written and verbal English communication skills are essential.