WPP

1 month ago

Senior Data Engineer - Global People Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Hands-on, enterprise-grade data engineering role responsible for designing and evolving data pipelines and canonical data models for a global people data platform. Leads architecture decisions, ensures governance and regulatory reporting readiness, and collaborates with HR systems (Workday) and cross-functional stakeholders to enable workforce analytics across 90+ markets.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Pipeline Design & Delivery: Lead the design and implementation of core data pipelines that ingest, transform, and model people data from multiple HR and workforce systems — including Workday — into a governed, enterprise-grade data model built on Databricks and Delta Lake.
•Data Modelling & Standards: Own and evolve canonical people data structures across the global people data platform. Define and enforce schemas, ingestion patterns, and transformation logic that support scalability, consistency, and downstream reporting, analytics, and regulatory use cases.
•Technical Decision Authority: Make day-to-day architectural and design decisions independently — on schema design, data standardisation approaches, and pipeline patterns — reducing escalation to senior leadership and enabling faster, higher-confidence delivery.
•Governance & Quality: Embed data quality checks, validation frameworks, and governance controls into pipeline and model design — ensuring the platform remains accurate, audit-ready, and defensible for executive and regulatory reporting.
•Platform Alignment: Partner closely with enterprise data and business platforms teams to ensure the people data architecture aligns with WPP's broader data platform standards, governance frameworks, and integration patterns.

Key Requirements

•Hands-on data engineering experience, including design and delivery of complex pipelines and data models in a cloud environment.
•Strong proficiency in SQL; solid Python and/or PySpark capability.
•Demonstrable experience with Databricks, Apache Spark, and Delta Lake architecture.
•Proven ability to design and own enterprise-grade canonical data models across multiple upstream source systems.
•Experience integrating data from APIs and diverse upstream platforms at scale (e.g., Workday, HR systems).

Experience:HR dataEnterprise dataWorkforce analytics

Skills:CommunicationLeadershipProblem-solvingCollaborationStakeholder management

Languages:English

Tech Stack:SQLPythonPySparkDatabricksApache SparkDelta LakeWorkdayAPIsAzure

Company Brief

WPP

Global marketing and communications services group offering advertising, media investment management, branding, public relations, and digital services to multinational clients across industries.

Industry: Advertising Media Groups

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1971

Website LinkedIn

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WPP