Why we're hiring:

To help us scale and deliver solutions across our Data Mesh platform, we are looking for a DevOps engineer who can be responsible for the deployment of our data solutions using Azure DevOps. Automation is at the core of our solutions, which spans our development, testing and production infrastructures. A focus on balancing agility, low maintenance and security is critical.

The ideal candidate will have a solid background in DevOps engineering for a large company and be highly experienced with Azure DevOps Pipelines to deploy both IaC and solutions. You’ll be working closely with our Software & Data Engineering teams - from the first lines of code being committed to it being deployed into production.

The DevOps engineer will also help design & plan projects and be involved in project execution decisions.

What you'll be doing:

• Build CI/CD process to increase release efficiency and reduce occurrence of errors.
• Develop software to integrate with internal backend systems
• Perform root cause analysis of deployment errors and provide future mitigation of those errors
• Communicate to both technical and non-technical stakeholders
• Cloud deployment and management
• CI/CD management and deployment
• Performance assessment, monitoring and recommending performance enhancements
• Infrastructure management using IaC
• Continuous testing at different stages of the development lifecycle
• Helping to implement a DevOps culture

What you'll need:

• At least 3 years’ experience as an Azure DevOps engineer
• Azure infrastructure configuration and management with at least AZ-900 certification
• Experience of designing and implementing CI/CD pipelines in Azure DevOps for web services and data products
• Scripting in Python, Bash and Powershell
• Experience with tools including Docker, Kubernetes
• Experience Azure Data Services - Data Factory, Synapse, Azure Databricks
• Experience using ARM and Terraform (Experience using Bicep an advantage)
• Experience Azure DevOps to deploy Azure Cloud Scale Analytics (Not essential)
• Problem-solving attitude
• Collaborative team spirit  

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Why we're hiring:

As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects.

Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks. As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks.

As a hands-on technologist with an extensive data engineering background using Databricks, you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration.

What you'll be doing:

• Design, build, test and maintain data pipelines (ELT), according to business and technical requirements.
• Implement secure platforms with data governance in mind.
• Play a key role in automation and building industry leading solutions against architectural best practices.
• Propose technical designs and develop integrations.
• Deliver data migrations between legacy & modern platforms
• Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.
• Support cross-functional teams across the data space.

What you'll need:

Minimum requirements for this role include:

• 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models
• 3+ years of experience in Python and SQL
• Experience using Databricks platform and PySpark is a must.
• Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault
• Ideally experience in the following – Kafka, Delta Lake, Pandas
• A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps.
• Fluency in English.
• Exposure to AI & ML technologies is a plus.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Why we're hiring:

We are looking for a Data Analyst to support in the continued development of WPP’s client operations analytics team, using business intelligence tools and visualisations to share with WPP HQ and the wider WPP network.

What you'll be doing:

Reporting into the Director of Data Operations, this role will work in several capacities including analysing data, creating technical solutions, assessing business issues, rolling out a software solution and building internal client relationships. In this role you will help to bring insights directly to the business, enabling senior stakeholders to make informed data driven decisions on a daily basis.

The role will be as follows:

• Support our ETL (Extract, Transform & Load) process for all current & future data feeds
• Work with all existing agencies data feeds to identify & resolve any validation concerns
• Create and/or manage WPP’s master data tables
• Assist with new agency/country implementation programmes
• Filter and “clean” data by reviewing validation reports and performance indicators to locate and correct code & data process problems
• Provide ad hoc analysis to key client stakeholders

Who you'll be working with:

You’ll be working closely with all of the Data & Insights team which currently consists of 13 people (8 based in UK, 2 based in Madrid & 3 based in India) who are nice group of individuals and are a close working team that all get on well, and who are looking forward to what this team could achieve in the future.

You will also be working closely with the Data Manager, EVP of Marketing & Growth Operations, other stakeholders from WPP Operating Companies.

We've adopted a hybrid working approach to give more flexibility on where and how we work. Normally we work together in our amazing office twice a week.

This role reports to the Director of Data Operations within the Enterprise Data Group team.

What you'll need:

• Strong analytical and problem-solving skills
• Proficiency in SQL and Python (pandas, PySpark) for data analysis
• Hands-on experience with Databricks or a comparable cloud platform (Snowflake, BigQuery)
• Familiarity with modern data formats (CSV, JSON, Parquet, Delta)
• Attention to detail and a willingness to learn new tools
• Fundamental understanding of REST APIs is desirable, but not mandatory
• Exposure to AI-assisted analytics workflows (e.g. Claude, Copilot, Genie) is a plus

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Why we're hiring:

We are seeking a proactive and detail-oriented Data Operations Analyst for the People Data & Insights team to play a foundational role in the success of WPP's global people data product. This position is vital for ensuring the continuous accuracy, integrity, and operational flow of the people data that underpins all of WPP's strategic initiatives. You will contribute to both the operational excellence of our people data ecosystem and provide crucial support that enables our senior team members to focus on strategic development and delivery orchestration.

What you'll be doing:

Platform Operations & Support:

• Serve as the first point of contact for GPDS data-related queries, efficiently managing and processing access requests, and issue resolution from global stakeholders, ensuring timely and effective support.
• Support the implementation of developments and optimizations, adhering to established engineering standards of WPP's global people data product in data ingestion pipelines, supporting the seamless flow of core and lifecycle people data into our Databricks environment. 
• Ensure robust documentation of WPP's global people data product's data processes, workflows, and FAQs, maintaining knowledge management for its foundational components.
• Support the configuration and maintenance of Power Platform (e.g., Power Automate, Power Apps) solutions that streamline data operations and support the product’s evolving needs. Data Quality, Governance & Compliance Support:
• Play a key role in the data correction, validation, and reconciliation processes for critical initiatives like EU Pay Transparency (EUPT), ensuring the accuracy and completeness of submitted data.
• Conduct rigorous data quality checks and validation against established standards for GPDS/global people data, proactively identifying discrepancies and supporting remediation efforts to maintain data integrity. 
• Assist in creating audit trails and documentation for sensitive data processes, supporting compliance requirements and data governance principles. Business Analysis & Enhancement Support:
• Contribute to gathering and documenting foundational data requirements for new product features, data integrations, and platform enhancements.
• Assist in translating business needs into technical specifications, collaborating with technical and business stakeholders to drive continuous improvement for our product’s offerings. 
• Support user acceptance testing (UAT) for new data products and platform functionalities, ensuring they meet business expectations. Cross-Functional Collaboration:
• Collaborate effectively with the wider People Data & Insights team, Enterprise Technology, and global People/HR teams to ensure data alignment and support our product's strategic roadmap. 

What you'll need:

Required:

• 1-3 years of experience in a data operations, data support, or junior business analysis role, preferably within an HR or People function.
• Proficiency in Microsoft Power Platform (Power Automate, Power Apps) and SharePoint for data collection and process automation.
• Demonstrated ability to troubleshoot data issues, conduct root cause analysis, and contribute to effective solutions.
• Strong attention to detail and a firm commitment to data accuracy, quality, and governance.
• Excellent communication skills, with the ability to clearly articulate data-related issues and requirements to technical and non-technical stakeholders.
• A proactive and curious attitude, with a willingness to rapidly learn new tools and systems (e.g., Databricks, Workday).
• Experience in stakeholder management, particularly in assisting with issue ticketing and query resolution.

Preferred:

• Basic understanding of SQL for data querying and analysis.
• Familiarity with data visualization tools (e.g., PowerBI) to support dashboard development.
• Exposure to Workday HCM data structures and reporting.
• Knowledge of data governance principles and best practices, especially for sensitive data.
• Experience supporting compliance-driven data projects (e.g., EU Pay Transparency, GDPR, pay equity).
• Prior experience working in a global, matrixed organization.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Why we're hiring:

As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects.
Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks. As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks.
As a hands-on technologist with an extensive data engineering background using Databricks, you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration.

What you'll be doing:

• Design, build, test and maintain data pipelines (ELT), according to business and technical requirements.
• Implement secure platforms with data governance in mind.
• Play a key role in automation and building industry leading solutions against architectural best practices.
• Propose technical designs and develop integrations.
• Deliver data migrations between legacy & modern platforms
• Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.
• Support cross-functional teams across the data space.

What you'll need:

Minimum requirements for this role include:

• 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models
• 3+ years of experience in Python and SQL
• Experience using Databricks platform and PySpark is a must.
• Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault
• Ideally experience in the following – Kafka, Delta Lake, Pandas
• A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps.
• Fluency in English.
• Exposure to AI & ML technologies is a plus.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Why we're hiring:

As a Project Manager in the WPP Enterprise Data Group, you will provide delivery coordination and technical project management across the Work Management Data Spine programme. This programme spans seven delivery workstreams with resources based in the UK and India.

You will manage sprint planning, backlog prioritisation, dependency tracking, and progress reporting to ensure the programme delivers on schedule and to quality standards. Your coordination will enable engineering teams to focus on delivery rather than administrative overhead.

This role requires strong technical project management skills with the ability to operate across time zones, manage cross-functional dependencies, and communicate effectively with both engineering leads and programme stakeholders.

You will be joining a high-profile programme delivering the data integration platform that underpins WPP Open Work Management, working at the intersection of data engineering, systems integration, and master data management.

What you'll be doing:

Sprint & delivery management

• Manage sprint planning, daily stand-ups, and retrospectives across offshore engineering teams.
• Track and report on sprint velocity, burn-down, and delivery progress against programme milestones.
• Coordinate sprint deliverables across data engineering, systems integration, and data management workstreams.

Dependency & risk management

• Identify, track, and manage cross-workstream dependencies that impact delivery timelines.
• Maintain the programme risk and issue register, driving mitigation actions to resolution.
• Escalate blockers and delivery risks to programme leadership with recommendations.

Resource & capacity planning

• Manage resource allocation and capacity planning across offshore teams.
• Support the onboarding of new team members, ensuring access, tooling, and documentation are in place.
• Track team utilisation and identify capacity constraints ahead of sprint commitments.

Stakeholder communication

• Produce regular status reports and dashboards for programme leadership and stakeholders.
• Facilitate cross-timezone communication between UK and India-based teams.
• Manage the Jira project, ensuring tasks, estimates, and status are kept current.

What you'll need:

• Proven experience in technical project management within data engineering, software development, or systems integration programmes.
• Strong knowledge of Agile methodologies (Scrum, Kanban) with practical experience running sprints.
• Proficiency with project management tools, particularly Jira and Confluence.
• Excellent stakeholder management and communication skills across technical and business audiences.
• Experience managing distributed teams across multiple time zones.
• Strong analytical skills with the ability to identify risks, dependencies, and bottlenecks.
• Organised and detail-oriented with the ability to manage multiple concurrent workstreams.
• Understanding of data engineering or data platform programmes is an advantage.
• Experience with Databricks, Azure, or similar cloud platforms is a plus.
• Self-motivated with the ability to operate independently and drive delivery outcomes.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Job Overview:

We are seeking a Senior AI Solution Architect with deep expertise in Artificial Intelligence (AI) and Generative AI (GenAI) to drive solution design, pre-sales engagements, and client delivery. The ideal candidate combines technical excellence with strong business acumen, enabling them to design innovative solutions, craft compelling sales collateral, and confidently engage with executive stakeholders. This role requires proven experience leading teams, shaping solution strategy, and responding to complex RFPs in enterprise environments

Key Responsibilities:

• Lead RFP/RFI responses with strong technical and business narratives.
• Design solution proposals, demos, and workshops with sales teams.
• Build sales assets such as whitepapers, PoV decks, and blueprints.
• Engage C-suite leaders to evangelize AI/GenAI solutions.
• Define end-to-end AI/GenAI architectures (RAG, multi-agent, pipelines, governance, observability).
• Translate business needs into scalable, secure, and compliant AI solutions.
• Ensure smooth design-to-delivery with engineering teams.
• Establish frameworks for AI governance and responsible AI.
• Mentor architects, data scientists, and engineers.
• Drive knowledge sharing through playbooks, accelerators, and best practices.
• Collaborate with cloud, data, security, and domain SMEs for integrated solutions.

Key Skills

• 10+ years of experience in solution architecture, AI/ML, or data platforms, with at least 3–5 years in AI/GenAI initiatives.
• Demonstrated pre-sales experience: RFP responses, PoVs, workshops, and deal support.
• Strong portfolio of sales/marketing assets (whitepapers, solution blueprints, reference architectures).
• Hands-on expertise with AI/GenAI stacks (e.g., LangChain/LangGraph, CrewAI, OpenAI, Anthropic, Azure AI, AWS Bedrock, Databricks).
• Understanding of AI governance and compliance frameworks (EU AI Act, NIST AI RMF, ISO 42001, Microsoft RAI Maturity Model).
• Proven team leadership experience, including mentoring and managing architects/engineers.
• Excellent communication, presentation, and client-facing skills.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

Why we're hiring:

At WPP, technology is at the heart of everything we do, and it is WPP IT’s mission to enable everyone to collaborate, create and thrive. WPP IT is undergoing a significant transformation to modernise ways of working, shift to cloud and micro-service-based architectures, drive automation, digitise colleague and client experiences and deliver insight from WPP’s petabytes of data. 

 WPP Media is the world’s leading media investment company responsible for more than $63B in annual media investment through agencies Mindshare, MediaCom, Wavemaker, Essence and m/SIX, as well as the outcomes-driven programmatic audience company, Xaxis and data and technology company Choreograph. WPP Medias portfolio includes Data & Technology, Investment and Services, all united in a vision to shape the next era of media where advertising works better for people. By leveraging all the benefits of scale, the company innovates, differentiates and generates sustained value for our clients wherever they do business. 

What you'll be doing:

Primary Responsibilities: 

• Gather, analyze, and document business and technical requirements in collaboration with the MDM Lead and key stakeholders 

• Support the breakdown of high-level requirements into detailed functional and technical requirements 

• Review and analyze the existing gap analysis and help translate identified gaps into prioritized user stories and backlog items 

• Help prioritize requirements by identifying quick wins, dependencies, and delivery complexity 

• Translate agreed requirements into user stories, acceptance criteria, and backlog items for development teams 
• Support delivery activities by participating in backlog refinement, sprint planning, and requirement clarifications 

Additional Responsibilities: 

• Maintain requirement documentation and traceability as inputs evolve 

• Support the MDM Lead with documentation, analysis, and follow-ups across workstreams 
• Help ensure alignment between documented requirements and delivered functionality 

What you'll need:

Required Skills: 

• Bachelor’s degree in Business, Information Systems, Computer Science, or related field 

• 5+ years of experience as a Business Analyst or Technical Business Analyst on data or platform initiatives 

• Proven experience gathering requirements through workshops, interviews, and documentation reviews 

• Ability to translate business needs into clear, structured requirements and user stories 

• Solid understanding of data concepts such as master data, reference data, data quality, and integrations 

• Strong analytical, organizational, and documentation skills 

• Experience working in cross-functional, global teams 

• Strong English communication skills (verbal and written) 

Preferred Skills: 

• Exposure to Master Data Management (MDM) or enterprise data platforms 

• Familiarity with Agile delivery methodologies and tools (e.g. Jira, Confluence, Azure DevOps) 

• Basic understanding of APIs, data ingestion patterns, and outbound data consumption 

• Experience working alongside solution architects and development teams 

• Exposure to cloud data platforms such as BigQuery, Azure SQL, Databricks, or similar 

• Experience in a product-based or platform-led environment 

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Why we're hiring:

WPP Media is embarking on a transformative data journey through Databridge—our internal comprehensive data strategy and framework designed to unify our fragmented global data landscape. We are moving from isolated, market-specific implementations to a standardized, scalable, cloud-agnostic, and AI-ready data platform built on a modern tech stack: dbt, Databricks, Python (dlthub), and GitHub Actions. 

 As Data Operations Lead, you will establish and head our new Data Integration & Operations team in Chennai. This is a build-and-run role: you'll define how the team operates while leading day-to-day delivery of operational excellence across global data products. 

 You will be the custodian of production—owning the operational layer including CI/CD automation, deployment pipelines, monitoring, data quality enforcement, incident management, and support. This role requires deep technical knowledge of Databricks and modern data platforms, alongside the ability to lead, mentor, and scale a growing team.

What you'll be doing:

Technical Ownership & Execution 

• Lead the team responsible for data integration, orchestration, and platform operations across Azure and GCP environments 

• Build and maintain automated CI/CD pipelines using GitHub Actions and Databricks Asset Bundles for data workflows 

• Design platform-wide monitoring, logging, and alerting covering pipeline execution, data quality, SLA compliance, and cost 

• Manage production deployments and own centralized job orchestration via Databricks Jobs/Workflows (scheduling, dependencies, retries, notifications) 

• Implement comprehensive data quality testing and validation using dbt's testing framework and custom checks 

Operational Standardization 

• Create and roll out standard operating procedures, runbooks, onboarding guides, and automation patterns 

• Establish reusable deployment frameworks and project templates for consistent implementation across markets 

• Build and maintain the Central Data Solution Repository with reusable assets (dlthub pipelines, dbt models, tests, macros) 

• Define repeatable deployment patterns ensuring standards and best practices are followed globally 

Platform Support & Governance 

• Set up and manage SLAs, incident workflows, and escalation models 

• Proactively identify and resolve operational risks in cloud-based data platforms 

• Partner with DevOps to leverage Databricks Unity Catalog for governance, access control, and lineage 

• Enforce data quality standards and governance policies embedded within pipeline code 

Team Leadership 

• Lead and mentor the Data Integration & Operations team in Chennai 

• Shape the team's operating model, priorities, and capabilities 

• Act as subject matter expert and escalation point for technical operations 
• Facilitate regular retrospectives to drive continuous improvement and optimize processes 
• Collaborate with Data Engineering, DevOps, and Product teams globally 

What you'll need:

Experience 

• 7+ years in data operations, platform engineering, or data engineering with hands-on production experience 

• 3+ years in technical leadership or team lead capacity, with proven ability to build and scale teams 
• Demonstrated experience establishing DataOps practices and operational frameworks from the ground up 

Technical Expertise 

• Deep, hands-on experience with Databricks platform, specifically: 

• Databricks SQL Warehouses, Unity Catalog, Jobs/Workflows 

• Databricks Asset Bundles for Infrastructure as Code 

• Delta Lake performance optimization 

• Strong proficiency with dbt (Core): project structure, macros, tests, documentation, CI/CD integration, production troubleshooting 

• Expert-level cloud platform knowledge (Azure and/or GCP): 

• Object storage (ADLS/GCS), secret management (Key Vault/Secret Manager) 

• Infrastructure as Code (Terraform) 

• CI/CD mastery with GitHub Actions: workflow design, secrets management, automated testing and deployment 

• Proficient in Python for automation and scripting (experience with dlthub is a major plus) 

• Strong SQL skills for data validation, quality testing, and troubleshooting 

Operational & Leadership Skills 

• Proven ability to design operational frameworks: monitoring, alerting, incident management, SLA tracking 

• Experience managing production data platforms with high uptime requirements 

• Excellent communication skills with ability to articulate technical concepts to diverse audiences 
• Strong documentation skills and commitment to knowledge sharing 

• Preferred Skills 

  • Experience working in multi-cloud environments (Azure + GCP) 
  • Familiarity with Power BI or similar BI platforms 
  • Understanding of FinOps practices for cloud cost optimization

Who Should Apply 

 This role is ideal for candidates with: 

• Real, hands-on project experience building and running production data platforms at scale 

• Proven leadership in establishing DataOps practices and growing high-performing teams 

• Deep technical expertise in the Databricks ecosystem and modern data stack 

• Entrepreneurial mindset—comfortable with ambiguity and building systems from the ground up 

 This role is not a fit if your experience is primarily theoretical, course-based, or lacks production-grade exposure to the core technologies outlined above. 

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

Job Overview:

We are looking for a senior technical lead to design, scale, and govern enterprise-grade data platforms across Microsoft Fabric, Databricks, and Snowflake. The role focuses on defining data architecture standards, enabling AI/GenAI-ready platforms, leading engineering teams, and delivering secure, high-performance cloud data solutions that support analytics and business outcomes.

Key Responsibilities

• Lead the design and implementation of scalable data platforms using Microsoft Fabric, Databricks and Snowflake including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
• Define end-to-end data architecture standards, patterns, and best practices across ingestion, storage, transformation, modeling, and consumption layers.
• Guide technical decisions on compute patterns, storage optimization, pipeline orchestration, and data modeling frameworks.
• Evaluate and integrate emerging technologies to modernize the platform and enable AI/GenAI workloads.
• Partner with AI/ML teams to productionize models and integrate them with enterprise data workflows.
• Ensure data governance, lineage tracking, and metadata standards to support trustworthy AI initiatives.
• Champion data governance, security, privacy, and compliance requirements within the platform.
• Implement observability frameworks for pipeline monitoring, performance tuning, and reliability engineering.
• Drive continuous improvement initiatives to enhance platform robustness and engineering productivity.
• Work closely with product owners, business stakeholders, architects, and analytics teams to translate requirements into scalable technical solutions.
• Serve as the primary technical point of contact for data platform projects and stakeholders.
• Communicate technical roadmaps, project risks, and delivery plans clearly and effectively.
• Develop and deliver dashboards and reports using Power BI and Tableau.

Key Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent professional experience.
• 12+ years of experience in data engineering, data platform development, or cloud data architecture.
• 3+ years in a technical leadership or team management role.
• Mandatory deep hands-on expertise with Microsoft Fabric, Snowflake or Databricks:
  • Pipelines
  • Notebooks
  • Lakehouse
  • Data Warehouse
  • Semantic Models
• Strong proficiency in PySpark, distributed compute, and data transformation frameworks.
• Advanced SQL capabilities and experience building stored procedures for transactional and analytical workloads.
• Proven track record in designing and delivering large-scale data platforms in cloud environments (Azure preferred).
• Solid understanding of AI/ML data workflows, GenAI dataset preparation, and integration patterns.
• Demonstrated ability to lead engineering teams, drive architectural decisions, and oversee complex technology implementations.
• Strong communication, stakeholder management, and technical documentation skills.
• Proficiency in creating interactive dashboards and reports using Power BI and Tableau.

Job Overview:

We are seeking an experienced Senior Data Engineer to build and optimize scalable data platforms using Microsoft Fabric, Databricks (and/or Snowflake). The role focuses on designing reliable data pipelines, lakehouse and warehouse models, and semantic layers that enable enterprise analytics, BI, and AI/Gen AI use cases.

You will work closely with analytics, BI, and data science teams to deliver high-quality, performant, and governed data solutions, while driving best practices in data engineering, optimization, and platform design.

Key Responsibilities

• Design, build, and maintain end-to-end data solutions on Microsoft Fabric, Databricks, including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
• Implement scalable data ingestion, transformation, and loading (ETL/ELT) using Fabric Pipelines and PySpark.
• Develop robust data models and schemas optimized for analytics, reporting, and AI-driven consumption.
• Create and maintain semantic models to support Power BI and enterprise BI solutions.
• Engineer high-performance data solutions that meet requirements for throughput, scalability, quality, and security.
• Author efficient PySpark and SQL code for large-scale data transformation, data quality management, and business rule processing.
• Build reusable framework components for metadata-driven pipelines and automation.
• Optimize Lakehouse and Data Warehouse performance, including partitioning, indexing, Delta optimization, and compute tuning.
• Develop and maintain stored procedures and advanced SQL logic for operational workloads.
• Design and prepare feature-ready datasets for AI and GenAI applications.
• Collaborate with data scientists and ML engineers to productionize AI pipelines.
• Implement data governance and metadata practices required for responsible AI.
• Leverage Fabric, Databricks capabilities to orchestrate and monitor AI-related data workflows.
• Apply data governance, privacy, and security standards across all engineered assets.
• Implement monitoring, alerting, and observability best practices for pipelines and compute workloads.
• Drive data quality initiatives, including validation frameworks, profiling, and anomaly detection.
• Partner with analytics, BI, data science, and product teams to understand requirements and translate them into technical solutions.
• Mentor junior engineers and contribute to engineering standards and patterns.
• Participate in architecture reviews, technical design sessions, and roadmap planning.
• Develop and deliver dashboards and reports using Power BI and Tableau.

Required Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
• 7+ years of professional experience in data engineering or a related discipline.
• Mandatory hands-on expertise with Microsoft Fabric, Databricks or Snowflake including:
  • Pipelines
  • Notebooks
  • Lakehouse
  •  Data Warehouse
  • Semantic Models
• Advanced proficiency in PySpark for distributed data processing.
• Strong command of SQL for analytical and operational workloads.
• Experience developing and optimizing stored procedures and complex SQL transformations.
• Understanding of GenAI architectures, vectorization, embedding pipelines, and data preparation for LLM use cases.
• Strong knowledge of data modeling, ETL/ELT patterns, and modern data lakehouse principles.
• Experience designing and optimizing large-scale data pipelines in cloud environments (Azure preferred).
• Excellent problem-solving skills with the ability to analyze complex data workflows.
• Proficiency in creating interactive dashboards and reports using Power BI and Tableau.