About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will:

• Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights.
• Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders.
• Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives.
• Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions.
• Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function.
• Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques.
• Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies.
• Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities.

Skills and Experience:

If this opportunity looks right for you, we are looking for candidates who have:

• Bachelor’s degree in computer science, Information Technology, Engineering or related field.
• 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring.
• Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker).
• Proficiency in SQL, Excel, and Python/R
• Expert in data visualization and storytelling; able to craft compelling narratives that drive action.
• Experience in a commerce media or digital marketing agency is a plus.
• Excellent problem-solving, communication, and project management skills.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Key Responsibilities: 

• Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability. 

• Architect and implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing. 

• Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency. 

• Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime. 

• Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team. 

• Serve as a liaison with onshore leadership, driving strategic backlog prioritization, release management, and complex cross-regional project coordination to align with organizational objectives. 

• Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets. 

• Assist with enterprise capacity planning, resource optimization, and architectural design of innovative data solutions tailored to evolving business requirements. 

• Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise. 

Senior-Level Expectations: 

• Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies. 

• Mentor and develop junior and mid-level engineers through structured coaching, technical workshops, and ongoing knowledge transfer, cultivating a high-performance engineering culture. 

• Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation. 

• Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes. 

Required Skills 

• 5-6years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP). 
• Provenexpertisein designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation. 
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.

Good to Have 

• Adverity
• Dataflow
• Big Query
• Databricks
• DBT
• Terraform
• Wrike/Jira/Azure DevOps
• DP‑203 / GCP Data Engineer certifications

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

#LI-GOC

Get to Know our Team:  

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.

The Opportunity:      

Agoda is hiring experienced Software Developers to work on high-scale, mission-critical systems focused on the design and development of APIs that support millions of user search requests each day. This role is ideal for engineers who enjoy solving complex technical challenges, building reliable distributed systems, and influencing architecture at scale.

In this Role, you'll get to

• Lead the development of product features, experiments, technical initiatives, and complex systems.
• Act as a technical leader by shaping architecture decisions, mentoring engineers, and guiding technology choices.
• Continuously improve system architecture and drive better software design and engineering practices.
• Play a key role in strengthening agile and scrum ways of working.
• Collaborate closely with backend, client-side, and infrastructure teams to deliver the best technical solutions.
• Proactively identify opportunities to enhance products, code quality, and development processes.
• Write high-quality, maintainable code while supporting others in doing the same.
• Influence and drive important technical decisions across the organization.

What You’ll Need to Succeed 

• 10+ years of experience building performance-critical applications in production environments using Scala, Java, Kotlin, Python, Go, or C#
• Proven experience leading projects, technical initiatives, and/or engineering teams, with full ownership of the systems involved
• Hands-on experience with data platforms such as SQL, Cassandra, or Hadoop, and a solid understanding of selecting the right data solution for different application needs
• Strong knowledge of algorithms and data structures
• Demonstrated excellence in software development and coding
• A proven ability to improve team productivity and effectiveness through KPI-driven engineering practices
• Strong software architecture skills, with experience driving architectural decisions within a team
• A passion for software craftsmanship, continuous learning, and engineering excellence
• Excellent written and verbal English communication skills

It’s Great If You Have 

• Experience with Scrum/Agile development methodologies
• Experience building large-scale distributed products
• Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment
• Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library  

 #india #newdelhi #Bangalore #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida

Get to Know our Team: 

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.

The Opportunity:    

Agoda is seeking experienced Software Engineers to design and build mission-critical APIs and backend systems that handle millions of user search requests every day. This is an exciting opportunity to work on large-scale distributed systems, shape technical direction, and help build reliable software that supports Agoda’s global platform.

In this Role, you'll get to      

• Lead the development of product features, experiments, technical initiatives, and complex systems.
• Act as a technical leader by shaping architecture decisions, mentoring engineers, and guiding technology choices.
• Continuously improve system architecture and drive better software design and engineering practices.
• Play a key role in strengthening agile and scrum ways of working.
• Collaborate closely with backend, client-side, and infrastructure teams to deliver the best technical solutions.
• Proactively identify opportunities to enhance products, code quality, and development processes.
• Write high-quality, maintainable code while supporting others in doing the same.
• Influence and drive important technical decisions across the organization.

What You’ll Need to Succeed

• 7+ years of experience building and maintaining performance-critical applications in production environments using Scala, Java, or C#.
• Proven experience leading projects, technical initiatives, and/or teams, with end-to-end ownership of systems.
• Familiarity with data platforms such as SQL, Cassandra, or Hadoop, with a solid understanding of how different use cases require different data solutions.
• Strong foundation in algorithms and data structures.
• Excellent coding and problem-solving skills.
• Genuine passion for software engineering, with a continuous desire to learn and improve.
• Strong verbal and written communication skills in English.

It’s Great If You Have  

• Experience working in Scrum or Agile environments.
• Experience building large-scale distributed systems or products.
• Familiarity with core engineering tools such as Git, TeamCity, and Puppet.
• Hands-on experience with technologies such as Kafka, RabbitMQ, ActiveMQ, MSMQ, Spark, Hadoop, Cassandra, MongoDB, Play Framework, or Akka.

 #india #newdelhi #Bangalore #Bengaluru #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida

Get to Know our Team: 

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.

The Opportunity:    

Agoda is looking for developers to work on mission critical systems that deal with the designing and development of APIs that serve millions of user search requests a day.

In this Role, you'll get to      

• Lead development of features, experiments, technical projects and complex systems 
• Be a technical architect, mentor, and driver towards the right technology 
• Continue to evolve our architecture and build better software
• Be a major contributor to our agile and scrum practices 
• Get involved with software engineering and collaborate with server, other client, and infrastructure technical team members to build the best solution
• Constantly look for ways to improve our products, code-base and development practices 
• Write great code and help others write great code
• Drive Technical decisions in the organization.

What You’ll Need to Succeed

• At least 7+ years’ experience under your belt developing performance-critical applications that run in a production environment using Scala, Java or C#.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved
• Data platforms like SQL, Cassandra or Hadoop. You understand that different applications have different data requirements
• Good understanding of algorithms and data structures
• Strong coding ability
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills
• Excellent verbal and written English communication skills

It’s Great If You Have  

• Experience with Scrum/Agile development methodologies
• Experience building large-scale distributed products
• Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment
• Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library  

 #india #newdelhi #Bangalore #Bengaluru #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida

About the Role:

We’re looking for a team player with excellent interpersonal skills & service oriented. Creative & out of the box thinker. An autodidact, quick, effective and versatile who’s able to change directions in midstream. Independent & Accountable.

What you’ll be spending your time on

• Create and maintain CI/CD pipelines for the company's products
• Building and maintaining high-performance, fault tolerant, scalable ALM system, from Version control, Builds and Deployments to Monitoring and configuration management
• Maintain the application layer of our public cloud and private cloud
• Develop and integrate infrastructure tools in support of our production system
• Automate the Provisioning and configuration of Windows/Linux environments
• Work closely with product, QA, developers and IT/operations departments to streamline their working methods
• As a core member of the team, you will participate in 'On-Call' duties on Payoneer production systems, working in non-conventional hours include weekends and holidays (from time to time)

Have you done this kind of stuff?

• BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experience
• At least 6 years’ experience as DevOps Engineer
• A minimum of 5 years of exposure running production workloads (AWS, Azure or GCP)
• Microservices architecture & container orchestration (Docker and Kubernetes)
• Experience with CI/CD tools and source control management tools (e.g., Git, Azure DevOps, SonarQube, Artifactory etc...)
• Experience with GitOps (e.g., ArgoCD or Flux)
• Experience with Configuration Managements tools like Chef, Ansible or Puppet
• Proven Scripting capabilities: PowerShell/Bash/Python
• High level Linux OS expertise
• Programming experience skills (C#, NodeJS - advantage)
• Experience managing application servers and web servers
• Strong troubleshooting skills
• Experience with monitoring and logging solutions (e.g. Prometheus, Grafana and ELK)
• Proactive by nature; internal drive for excellence and improvement

Not a must but a great advantage

• Experience in SQL
• Experience with software development and development frameworks
• Experience with event streaming and messaging platforms such as Kafka, RabbitMQ…
• Provisioning and operating NoSQL databases such as MongoDB, Redis, Elasticsearch …
• Knowledge and understanding Storage and Networking

#LI-PG1

Role Summary

We are hiring Senior Engineers who combine solid software engineering fundamentals with proven proficiency in AI-assisted development. This role is designed for engineers who have actively used AI coding tools (such as Cursor, Claude Code, Codex CLI only) for at least one year and can leverage these capabilities to ship higher-quality code faster. You will be embedded in product engineering squads, leading feature development, mentoring junior engineers, and championing AI-first development practices across the team.

What Makes This Role Different

This is not an AI research role - it is a core engineering role for engineers who use AI as a force multiplier. We expect you to:

• Use AI coding assistants daily to accelerate development without sacrificing code quality.
• Critically evaluate AI-generated code for correctness, security vulnerabilities, and maintainability.
• Share best practices for AI-assisted workflows with the broader engineering team.
• Help define team standards for responsible and effective AI tool adoption.

Key Responsibilities

1  Feature Engineering & Delivery

• Design, build, and ship production-quality features across the full stack or within your domain (backend, frontend, platform, or data).
• Leverage AI coding assistants to write, refactor, document, and test end-to-end code efficiently.
• Translate product requirements and technical specifications into clean, maintainable implementations.
• Lead feature squads for medium-complexity initiatives from design through deployment.
• Participate in and drive sprint planning, backlog grooming, and technical estimation sessions.

2  AI-Augmented Development Practices

• Champion the use of AI pair-programming tools (Copilot, Cursor, Claude, etc.) across the engineering org.
• Develop and document internal guidelines for effective AI prompt engineering within coding workflows.
• Conduct training sessions or knowledge-share presentations on maximising productivity with AI tools.
• Critically audit AI-generated code for logic errors, security issues, and performance anti-patterns before merging.
• Stay updated on the latest AI development tooling and evaluate new tools for team adoption.

3  Code Quality & Engineering Excellence

• Write testable, modular, and well-documented code following the team's style guides and design principles.
• Drive test-driven development (TDD) and maintain code coverage targets.
• Perform thorough code reviews with constructive feedback; uphold engineering standards.
• Identify and address technical debt proactively; contribute to architecture improvements.
• Participate in RCA (root cause analysis) for production incidents; implement lasting fixes.

4  Architecture & Technical Design

• Contribute to system design discussions, proposing solutions with appropriate trade-off analysis.
• Create and maintain technical design documents (TDDs), ADRs (Architecture Decision Records), and API contracts.
• Evaluate and adopt relevant third-party libraries, APIs, and SaaS tools with a security-first mindset.
• Collaborate with platform / DevOps teams on observability, CI/CD pipelines, and infrastructure-as-code.

5  Mentoring & Team Growth

• Mentor 1–2 mid-level engineers; conduct regular 1:1 technical coaching sessions.
• Onboard new team members by sharing codebase context, tooling setup, and team practices.
• Contribute to a culture of psychological safety, learning from failures, and continuous improvement.

6  Cross-functional Collaboration

• Work closely with Product Managers, Designers, and Operations to deliver delightful, high-quality user experiences.
• Coordinate with data and AI/ML teams to integrate model endpoints, APIs, and AI features into product surfaces.
• Participate in customer-facing escalations where deep technical expertise is required.

Required Qualifications

1  Education

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Candidates without a degree but with a strong portfolio and demonstrable project history will be considered.

2  Experience

• 3 – 5 years of professional software engineering experience in a product-focused environment.
• Minimum 1 year of active, hands-on experience using AI coding tools in professional work (not just personal projects).
• Track record of shipping production features end-to-end with measurable business impact.

3  Technical Skills — Core Engineering

• Languages: Proficiency in at least one of — Python, TypeScript/JavaScript, Java, Go, or Kotlin.
• Web / API: REST, GraphQL, gRPC; familiarity with microservices and event-driven architectures.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, and managed services.
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, CircleCI); IaC basics (Terraform/Pulumi).
• Testing: Unit, integration, and e2e testing frameworks; TDD/BDD familiarity.
• Version Control: Git, branching strategies (GitFlow, trunk-based), PR workflows.

4  AI Tooling Skills (Mandatory)

• Demonstrated proficiency with at least one AI coding assistant (Cursor IDE, Claude Code, Codex CLI).
• Ability to craft effective prompts for code generation, refactoring, debugging, and documentation tasks.
• Experience reviewing and validating AI-generated code for correctness and security.
• Understanding of limitations of LLM-based coding tools (hallucinations, context window, license risks).

5  Nice to Have

• Contributions to open-source projects.
• Experience building or integrating AI/ML features (e.g., calling LLM APIs, embedding models, RAG pipelines).
• Familiarity with agentic coding frameworks (LangChain, LlamaIndex, AutoGen, CrewAI).
• Experience in a startup or scale-up environment with rapid iteration cycles.
• Knowledge of web security (OWASP Top 10, secure coding practices).

Behavioural Competencies

• AI-First Mindset: Naturally reaches for AI tools to accelerate tasks while maintaining engineering rigour.
• Ownership: Takes end-to-end accountability — from design to deployment to monitoring.
• Pragmatism: Balances perfect with shipped; knows when to iterate vs. over-engineer.
• Mentorship: Invests in the growth of peers and junior colleagues.
• Communication: Writes clearly (code comments, docs, Slack) and articulates trade-offs confidently.
• Curiosity: Continuously explores new tools, languages, and architectural patterns.
• Collaboration: Works well in cross-functional squads; builds trust quickly.

Role Summary

We are seeking a Lead Engineer, AI Systems to serve as the technical anchor across our AI-augmented engineering organisation. This role bridges our Senior AI Coding Engineers, the AI/ML Developer (SLM Specialist), and the Agentic Systems intern cohort. You will set technical direction, own cross-cutting architectural decisions, and champion the responsible, high-impact adoption of AI-assisted development practices across the entire engineering function.

You will remain hands-on with code while simultaneously shaping how the wider team builds, evaluates, and ships AI-powered products.

Key Responsibilities

1  Technical Vision & Architecture

• Define and own the end-to-end technical architecture for AI Systems — spanning product feature surfaces, model inference APIs, and agentic toolchains.
• Drive Architecture Decision Records (ADRs), system design reviews, and RFC processes across squads.
• Establish standards for integrating SLM/LLM model endpoints into product surfaces built by the Senior Engineering team.
• Evaluate emerging AI infrastructure patterns (RAG, agentic orchestration, vector stores, model serving) and guide adoption decisions.
• Own the technical roadmap for AI tooling, developer productivity, and model integration layers.

2  Cross-Squad Technical Leadership

• Act as the primary technical liaison between the AI/ML Developer (model side) and Senior Engineers (product side), ensuring smooth API contracts, evaluation loops, and deployment handoffs.
• Provide technical direction to Agentic Systems interns, reviewing designs, code, and agentic pipeline implementations.
• Unblock senior engineers on hard architectural or integration challenges that span squad boundaries.
• Run cross-team design reviews, architecture syncs, and engineering guild sessions.

3  AI-Augmented Engineering Excellence

• Define and maintain the organisation’s standards for AI-assisted development — covering context engineering, AI code review protocols, context management, and tool evaluation criteria.
• Maintain and evolve the internal AI tooling playbook (Cursor IDE, Claude Code, Codex CLI, and emerging tools).
• Evaluate new AI coding tools, agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen), and developer-productivity platforms; produce adoption recommendations with measured trade-offs.
• Conduct structured audits of AI-generated code across squads for correctness, security, and maintainability.

4  Hands-On Engineering

• Remain an active contributor: own critical-path features, prototype architectural spikes, and build shared infrastructure components used across squads.
• Personally drive resolution of the most complex production incidents and root-cause analyses.
• Review and merge high-impact PRs; maintain the highest code review quality bar on the team.
• Own observability and reliability for AI inference and MLOps integration layers in production.

5  Mentoring & Talent Development

• Mentor Senior Engineers, the AI/ML Developer, and interns through technical coaching, design feedback, and stretch assignments.
• Lead hiring panels and technical interviews; help define and uphold the engineering hiring bar.
• Contribute to onboarding frameworks that embed AI-first practices from day one.
• Model a culture of rigorous experimentation, psychological safety, and continuous improvement.

6  Stakeholder & Product Collaboration

• Partner with the Director of Engineering and Product leadership to translate product strategy into a phased technical roadmap.
• Present architectural proposals and trade-off analyses to engineering leadership and executive stakeholders as required.
• Coordinate with DevOps/Platform teams on GPU/TPU compute provisioning, CI/CD for model pipelines, and cloud cost optimisation.

Required Qualifications

1  Education

• Bachelor’s or Master’s degree in Computer Science, or a related field.
• Candidates without a degree but with a compelling portfolio demonstrating scope and impact at staff/lead level will be considered.

2  Experience

• 6 – 8 years of professional software engineering experience in product-focused environments.
• Minimum 2 years in a formal or de-facto technical lead / staff engineer capacity across multiple squads or systems.
• Minimum 8-12 months of active, hands-on experience with AI coding tools in a professional engineering setting.
• Proven track record of shipping production systems with measurable business impact at scale.
• Demonstrated experience collaborating closely with ML/AI model teams on integration, deployment, and evaluation.

3  Technical Skills — Core Engineering

• Languages: Expert proficiency in at least two of — Python, TypeScript/JavaScript, Go.
• Architecture: Microservices, event-driven systems, API design (REST, GraphQL, gRPC), distributed systems fundamentals.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis); vector databases (FAISS, Pinecone, Weaviate).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, managed ML services (SageMaker, Vertex AI).
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins); IaC (Terraform/Pulumi); observability stacks.
• Testing: TDD/BDD; unit, integration, and e2e frameworks; model evaluation pipelines.

4  AI / ML Integration Skills (Mandatory)

• Demonstrated proficiency with AI coding assistants (Cursor IDE, Claude Code, Codex CLI) in daily professional workflows.
• Experience designing and consuming LLM/SLM inference APIs; understanding of model serving, latency, and cost trade-offs.
• Hands-on familiarity with RAG architectures, vector stores, and retrieval pipelines.
• Ability to define and enforce AI code quality standards across an engineering team.
• Understanding of LLM limitations: hallucinations, context window constraints, prompt injection risks, and licensing considerations.

5  Technical Skills — Nice to Have

• Experience with SLM/LLM training or fine-tuning pipelines (SFT, RLHF, LoRA/QLoRA).
• Familiarity with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) and multi-step reasoning pipelines.
• Contributions to open-source ML or developer tooling projects.
• Knowledge of OWASP Top 10, secure coding, and AI-specific security risks (prompt injection, model exfiltration).
• Prior experience in a high-growth startup or scale-up environment with rapid iteration cycles.

Behavioural Competencies

• AI-First Mindset: Defaults to AI tools to accelerate work while maintaining rigorous quality standards; actively pushes the team’s AI capability forward.
• Systems Thinking: Sees the full picture — how model outputs, product surfaces, and infrastructure interdepend; anticipates second-order effects of architectural choices.
• Ownership: Takes end-to-end responsibility from design through production; doesn’t hand off problems, solves them.
• Influence Without Authority: Earns trust through technical credibility; drives alignment through persuasion, data, and well-reasoned proposals.
• Communication: Writes clear design docs, ADRs, and post-mortems; articulates complex trade-offs for engineering peers and non-technical stakeholders.
• Mentorship: Actively invests in the growth of engineers at all levels; gives direct, constructive feedback.
• Pragmatism: Balances the ideal with the shipped; knows when to iterate vs. refactor vs. rewrite.
• Curiosity: Continuously explores emerging research, tools, and patterns — and brings those learnings back to the team.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Senior Data Engineer

This role will serve as core member of a data engineering team assigned to one of WPP’s major global clients, who will be maintaining and expanding upon a global data warehouse, automated reports, and data provisioning applications to ensure that media and marketing stakeholders the world will have access to the right data and insights to inform their marketing decisions.  

WPP has developed the Measure platform, a stack of standardized technologies (Adverity for collection, DBT for modelling, Google Cloud Platform for orchestration, computing, and storage, and Microsoft PowerBI for visualization) and templates to speed the deployment and simplify support for automated reporting and analytics tools.

The team’s primary responsibility is to build and maintain a global Measure-based reporting solution, leveraging existing templates where applicable and building custom collectors, data models, cloud architectures, and/or visualizations when required. The team will automate the collection and transformation of disparate marketing data into a single source of truth, continually improving it to incorporate new data sources, and to derive new insights, to support ever-evolving business demands.

As an Senior Data Engineer, your primary responsibilities will include deploying and troubleshooting standardized Adverity data collection templates,  QAing landed versus source data using self-developed scripts and manual processes, gathering platform and ad account parameters from upstream stakeholders, working within and contributing to the team building the data warehousing solution,  adhering to technical standards and best practices, and contributing to the documentation of custom work.

In doing so you will exhibit a foundational understanding of cloud technology and key data engineering skills and knowledge to help your team in this fast-evolving and in-demand industry.

Some of the things we’d like you to do:

• Deploy data collectors in Adverity to gather data from media, agency system, and other sources

• Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they impact the quality of the reporting solution

• Support the translation of user requirements and business needs into technical specifications
• Be a proficient user of Google Cloud Platform and associated technologies, ensuring your work incorporates industry best practice
• Monitor automated jobs, troubleshooting data issues as-and-when they arise
• Support other members of the team responsible for “last mile” transformation and visualization of data within Google Data Studio reports and dashboards
• Serve as a technical and professional leader for junior staff
• Provide hands-on support to users of reporting solutions, helping the wider team triage and respond to user queries in a timely manner
• Attending internal stakeholder meetings, presenting your solutions, and providing updates on your work.
• Support the development strong working relationships with third-party data providers that we rely on for access to necessary data.

A bit about yourself:

Required

• Bachelor degree in Science or Engineering
• 3+ years’ experience (professional or academic) in data engineering, preferably handling advertising media or marketing data
• Professional experience with SQL, preferably deployed via DBT
• Analytically minded, enabling you to understand and overcome technically complex challenges, and to tell compelling stories with data
• Strong organizational skills and attention to detail, including the ability to manage multiple tasks in an autonomous way
• Strong spoken and written communication skills, ensuring your thoughts and needs are heard and understood
• An ability to demonstrate a passion for the digital marketing ecosystem, and an understanding of the role that data plays within it
• Delivers best results when working in a team environment, and an ability to partner effectively with people of varying degrees of technical capability

Desirable

• Previous experience working with data and technology
• Experience with digital marketing platforms and the data they generate, in particular Google Marketing Platform, Facebook, Tiktok etc.  
• An understanding of how data is tracked and exchanged in the process of digital advertising (e.g. role of ad servers and other third-party tech vendors)
• Experience using or building reports with business intelligence software, ideally Microsoft PowerBI
• Work experience within a marketing organization, preferably at a media agency or related company (e.g. publisher, ad tech, client marketing org)

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

ABOUT KHAN ACADEMY

Khan Academy is a fast-paced, nonprofit startup on a mission to provide a free, world-class education for anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a library of world-class instructional and practice resources that empowers learners. Whether they’re studying matrices, mitosis, or multivariable calculus, we want to offer students the resources to realize that they can learn anything. 

ABOUT KHAN ACADEMY INDIA

Khan Academy India aims to deliver a world class user experience that is locally relevant to learners in India and is enabled by a strong on-the-ground team and operations. Our learning system is mastery based, which allows students to master key concepts at a pace that is right for them before moving on to more challenging content. From serving under 500,000 learners in 2016, we are now serving almost 4 million learners a month across our websites, apps and youtube channels. These learners include both independent learners accessing us at home and teacher directed learners in schools. Our focus is to reach the underserved by making our content  accessible in local languages and by working with large public school systems. Khan Academy is available in Hinglish, Hindi, Gujarati, Assamese,  Marathi, Punjabi and Kannada.

ABOUT THE ROLE

We are looking for a person who will help us with data management, transformation, analysis and visualization. The primary focus will be on choosing optimal tools to use for these purposes and then maintaining, implementing, and monitoring them. Optimally you have knowledge of at least one dynamic language and SQL, a good business mindset, and data analysis competencies.

Please note that this is a 12-months contract role, subject to extension further. 

In this role you will: 

• Data Integration: Automate ingestion of data from multiple sources (e.g., Google Sheets, APIs, internal systems) into BigQuery
• Database Management: Design, build, and maintain scalable data pipelines and workflows in BigQuery; Ensure data accuracy, consistency, and reliability
• Exploratory Analysis: Perform descriptive and diagnostic analyses to uncover trends, patterns, and insights.
• Business Reporting: Build dashboards, reports, and visualizations (e.g., in Streamlit, Looker Studio, Tableau, or similar tools) to support decision-making.
• KPI Definition & Tracking: Partner with stakeholders to define key business metrics and create systems for daily, weekly and monthly tracking as needed
• Data Storytelling: Translate complex datasets into clear, actionable insights for both technical and non-technical audiences

ABOUT YOU

You are someone with:  

• Experience with Education or EdTech industry is strongly preferred
• A willingness to roll up your sleeves and help the team get work done as we are growing 
• 4+ years of hands on experience in data analytics field, ideally in an education setting
• Knowledge of advanced statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
• Strong SQL foundations & ability to manipulate data using R or Python
• Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling, BI tools, Bigquery)
• Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams, experience with BI tools is a plus
• Ability to work collaboratively with cross-functional teams to research and improve our content and products
• Being aware of good practices when collaborating in version control (Git)

PERKS AND BENEFITS

We may be a non-profit, but we reward our talented team like a for-profit.

• Competitive salaries and Meritocracy-driven, candid culture
• A fun, high-caliber team that trusts you and gives you the freedom to be brilliant
• The ability to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
• Remote work friendly, i.e. option to work from home; flexible schedules

LEARN MORE

• Sal’s TED talk from 2011
• Sal’s TED talk from 2015
• Sal’s TED talk from 2023
• A glimpse of our team:  http://www.khanacademy.org/about/the-team
• A glimpse of our content created: https://www.youtube.com/watch?v=ED8P8vchQJM
• Our Hinglish content in action: http://bit.ly/khanacademyyoutube 

HOW TO APPLY

• Complete the pre-work assignment here and submit your assignments below. Assignment submission is mandatory. We will not consider any application without the proper submission
• Attach your resume or LinkedIn URL in the space provided below. 
• Please submit a google drive link of your assignment
• Make sure you have enabled view access for anyone with the link.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

Job Purpose

The People Analytics & Workforce Intelligence Lead plays a critical role in building an integrated, insight‑driven workforce analytics capability that enables effective execution of People and Workforce Strategy.

This role shifts the organisation from fragmented, activity‑based reporting to coherent, decision‑relevant workforce intelligence, leveraging Oracle HCM data, dashboards, and AI‑enabled techniques. It ensures high‑quality, evidence‑based insights that support senior leaders in making informed decisions on workforce structure, capability, and cost.

By partnering with HR, Finance, Strategy, and Technology teams, the role drives standardisation, improves data confidence, and delivers forward‑looking workforce intelligence aligned to business priorities.

Key Roles and Responsibilities

1. Strategic Workforce Analytics & Insight

• Deliver integrated workforce and people analytics that enable evidence‑based decision‑making aligned to People and Workforce Strategy.
• Generate actionable insights across workforce structure, roles, capacity, productivity, skills, and costs, moving beyond descriptive reporting.
• Translate complex, multi‑source datasets into clear, executive‑ready narratives and recommendations.

2. Workforce Data Integration & Intelligence

• Integrate workforce data across HR systems, Finance, and other people data sources to create a single, aligned view of workforce intelligence.
• Align metrics, assumptions, and reporting standards across HR, Finance, and Strategy to drive shared understanding.
• Partner closely with Finance to connect workforce and cost analytics with financial planning and performance management.

3. Dashboarding & Reporting Transformation

• Design, build, and maintain integrated workforce analytics dashboards using tools such as Power BI, Tableau, or equivalent.
• Drive the shift toward dashboard‑led analytics, reducing fragmented, manual reporting.
• Ensure dashboards are intuitive, standardised, and tailored for senior leadership decision‑making with clear data definitions.
• Continuously measure and improve dashboard adoption, usability, and business impact.

4. Reporting Simplification & Optimisation

• Lead the rationalisation and simplification of workforce reporting, eliminating duplication and low‑value outputs.
• Replace activity‑based reporting with insight‑driven, decision‑focused analytics.
• Establish a scalable and efficient analytics framework across the People function.

5. Advanced Analytics, Automation & AI Enablement

• Apply AI‑enabled techniques and automation to enhance the speed, consistency, and quality of insight generation.
• Use advanced analytics to surface trends, patterns, and forward‑looking workforce intelligence, while ensuring practical and business‑aligned application.
• Support workforce initiatives and strategic programmes through structured, predictive insights.

6. Data Governance & Quality Stewardship

• Establish and maintain clear definitions, standards, and governance for workforce analytics (especially within Oracle HCM environments).
• Improve confidence in workforce data through transparency of methodologies, assumptions, and calculations.
• Act as a steward of high‑quality, decision‑ready workforce insight across the organisation.

7. Stakeholder Partnership

• Partner with senior HR leaders, Finance, and Strategy teams to support workforce strategy execution.
• Enable self‑service insights where appropriate while guiding stakeholders on data interpretation.
• Support key workforce planning and organisational initiatives through insight‑led collaboration.

Skills & Experience

• Demonstrated ability in data storytelling—translating complex datasets into clear, actionable, leadership‑ready insights.
• 7–10 years experience in People Analytics, Workforce Analytics, HR Analytics, or Business Intelligence roles, preferably in complex or matrixed environments.
• Knowledge of Oracle HCM data modules including OTBI, BI Publisher, and FDI.
• Proven experience in designing and delivering dashboard‑led workforce analytics solutions (Power BI, Tableau, or similar tools).
• Advanced analytical capability using Excel, SQL, and BI platforms.
• Demonstrated ability in data storytelling—translating complex datasets into clear, actionable, leadership‑ready insights.
• Experience leveraging automation and AI-enabled analytics techniques to enhance reporting and insight generation.
• Strong understanding of workforce concepts including capacity, productivity, performance, costs, roles, and skills.
• Ability to influence stakeholders and drive adoption of standardised, insight-driven analytics practices.

Who We Are

Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.

About The Role

As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.

What You’ll Do

• • Design, build, and manage robust data pipelines and data architectures.
  • Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
  • Optimize data workflows, ensuring reliability, scalability, and performance.
  • Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
  • Ensure data security and compliance with industry standards and best practices.
  • Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
  • Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Qualifications

• Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
• 5+ years of professional experience as a Data Engineer or similar role.
• Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
• Hands-on experience with data pipeline tools, cloud services, and storage solutions.
• Strong programming skills in SQL, Python, or related languages.
• Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
• Excellent analytical, troubleshooting, and problem-solving skills.
• Ability to effectively communicate technical concepts clearly to non-technical stakeholders.

Nice to have

• Certifications related to Azure Data Engineering, Databricks, or Snowflake.
• Familiarity with DevOps practices and CI/CD pipelines

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

Who We Are

Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.

About The Role

As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.

What You’ll Do

• Design, build, and manage robust data pipelines and data architectures.
• Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
• Optimize data workflows, ensuring reliability, scalability, and performance.
• Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
• Ensure data security and compliance with industry standards and best practices.
• Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
• Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Qualifications

• Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 3 years of professional experience as a Data Engineer or similar role.
• Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
• Hands-on experience with data pipeline tools, cloud services, and storage solutions.
• Strong programming skills in SQL, Python, or related languages.
• Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
• Excellent analytical, troubleshooting, and problem-solving skills.
• Ability to effectively communicate technical concepts clearly to non-technical stakeholders.

Nice to have

• Certifications related to Azure Data Engineering, Databricks, or Snowflake.
• Familiarity with DevOps practices and CI/CD pipelines.

Perks and Benefits

• Socials, Outings & Retreats
• One day per week Work From Home flexibility
• Subsidized Lunch
• Culture of Learning & Development

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

Get to Know our Team:  

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.

The Opportunity:      

Agoda is looking for developers to work on mission critical systems that deal with the designing and development of APIs that serve millions of user search requests a day.

In this Role, you'll get to

• Lead development of features, experiments, technical projects and complex systems 
• Be a technical architect, mentor, and driver towards the right technology 
• Continue to evolve our architecture and build better software
• Be a major contributor to our agile and scrum practices 
• Get involved with software engineering and collaborate with server, other client, and infrastructure technical team members to build the best solution
• Constantly look for ways to improve our products, code-base and development practices 
• Write great code and help others write great code
• Drive Technical decisions in the organization.

What You’ll Need to Succeed 

• At least 10+ years’ experience under your belt developing performance-critical applications that run in a production environment using Scala, Java, Kotlin, Python, Go, or C#. 
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved 
• Data platforms like SQL, Cassandra or Hadoop. You understand that different applications have different data requirements 
• Good understanding of algorithms and data structures 
• Demonstrated strong coding ability. 
• Proven track record of enhancing team productivity and effectiveness through a KPI-driven approach. 
• Strong architectural skills, actively driving architectural decision-making within the team. 
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills 
• Excellent verbal and written English communication skills 

It’s Great If You Have 

• Experience with Scrum/Agile development methodologies
• Experience building large-scale distributed products
• Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment
• Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library  

 #india #newdelhi #Bangalore #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida

About the Role

We are looking for a highly analytical and detail-oriented Sales Operations Analyst to join our team. This role is ideal for a candidate with an engineering background, strong problem-solving skills, and experience in CRM management, sales processes, data analysis, and automation. You will work closely with the RevOps leaders to analyze business processes, optimize sales and CRM workflows, and drive data-driven decision-making.

Location: Bangalore
Experience: 3-5 years

Key Responsibilities

• Assess current business and CRM processes, identify gaps, and recommend improvements
• Automate workflows and integrate tools using APIs and automation platforms like Zapier
• Own end to end CRM and Techstack management making sure GTM teams run smoothly and Techstack is cost optimized
• Analyze large, complex datasets to generate actionable sales and business operations insights.
• Collaborate with sales, marketing, and operations teams to enhance efficiency and effectiveness of GTM functioning
• Account and lead list creation and Data Enrichment and for outbound outreach

Mandatory Requirements

• 3-5 years of experience in a data-driven analytical role (preferably in RevOps / SalesOps)
• Engineering background (Computer Science, IT, or related fields preferred).
• Hands-on experience with Salesforce CRM and preferred Hubspot CRM
• Proficiency in Microsoft Office Suite (Excel, PowerPoint, etc.)
• Familiarity with Power BI or similar reporting tools

Preferred Skills

• Knowledge of sales and SaaS sales processes.
• Experience with SQL, Python, and Google Apps Script (JavaScript) for data analysis and automation.
• Exposure to data pipelines and API integrations.
• Experience with lead enrichment tools like Zoominfo, Apollo, Clay, etc.
• Familiarity with analytics tools and reporting dashboards.

#LI-PB1

About Payoneer 

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 markets. 

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. 

Role summary 

We’re looking for a Senior BI Developer who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment. 

Location - Gurugram (Work from Office) 

What You'll Do: 

Design, develop, and deploy end-to-end BI and analytics solutions in the Google Cloud environment, primarily using BigQuery, dbt, and Looker, across the full lifecycle: data transformation, modeling, testing, and production deployment. 

Translate business requirements into technical specifications, including defining data models, establishing relationships between data entities, and incorporating business logic into the analytical layer. 

Lead complex BI initiatives end-to-end, including breaking down work into manageable tasks, driving execution, and collaborating closely with other developers and stakeholders. 

Provide ongoing BI support to the Finance department, including preparation of monthly reports, ad hoc analyses, and compliance with regulatory requirements. 

Develop and maintain data pipelines to support BI solutions. 

What We're Looking For: 

6+ years of experience as a Senior BI Developer, with expert-level proficiency in SQL. 

Hands-on experience with Looker and dbt – mandatory! 

A proactive, problem-solving mindset. 

Strong sense of ownership and accountability. 

Proven ability to translate complex BI requirements into manageable technical tasks, spanning the process from data sourcing to final report. 

Strong experience designing and building data pipelines / ELT workflows, ideally in modern cloud data environments. 

Proven ability to independently lead complex technical tasks, collaborate with other developers, and drive delivery from data sources and transformation through semantic modeling and final reporting. 

An open-minded, inquisitive, and enthusiastic learner with a readiness to embrace modern technologies and adapt to new challenges. 

Advanced analytical capabilities, effective multitasking skills, and a strong aptitude for creative problem-solving. 

Not necessary but a great advantage 

Experience with Google Cloud Platform (GCP). 

Experience with AI tools. 

Proficiency in data modeling techniques. 

Knowledge and understanding of the payments industry. 

Bachelor's degree in industrial engineering/information systems or equivalent. 

#LI-AK1

About the Role

We are looking for a highly analytical and detail-oriented Sales Operations Analyst to join our team. This role is ideal for a candidate with an engineering background, strong problem-solving skills, and experience in CRM management, sales processes, data analysis, and automation. You will work closely with the RevOps leaders to analyze business processes, optimize sales and CRM workflows, and drive data-driven decision-making.

Location: Gurgaon
Experience: 3-5 years

Key Responsibilities

• Assess current business and CRM processes, identify gaps, and recommend improvements
• Automate workflows and integrate tools using APIs and automation platforms like Zapier
• Own end to end CRM and Techstack management making sure GTM teams run smoothly and Techstack is cost optimized
• Analyze large, complex datasets to generate actionable sales and business operations insights.
• Collaborate with sales, marketing, and operations teams to enhance efficiency and effectiveness of GTM functioning
• Account and lead list creation and Data Enrichment and for outbound outreach

Mandatory Requirements

• 3-5 years of experience in a data-driven analytical role (preferably in RevOps / SalesOps)
• Engineering background (Computer Science, IT, or related fields preferred).
• Hands-on experience with Salesforce CRM and preferred Hubspot CRM
• Proficiency in Microsoft Office Suite (Excel, PowerPoint, etc.)
• Familiarity with Power BI or similar reporting tools

Preferred Skills

• Knowledge of sales and SaaS sales processes.
• Experience with SQL, Python, and Google Apps Script (JavaScript) for data analysis and automation.
• Exposure to data pipelines and API integrations.
• Experience with lead enrichment tools like Zoominfo, Apollo, Clay, etc.
• Familiarity with analytics tools and reporting dashboards.

#LI-PB1

Location: Gurugram - India 
Full-time

What You’ll Be Spending Your Time On:

• Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems
• Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams. 
• Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed. 
• Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements. 
• Proactively identify areas of improvement in team systems, processes, and scalability. 
• Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions. 
• Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach. 

Have You Done This Kind of Stuff:

• 4 - 6 years in backend software engineering roles, with demonstrated ability to navigate technical trade-offs and ambiguity effectively. 
• Extensive experience in C# and .Net ecosystem is a mandatory requirement. 
• Hands-on experience in SQL Server and database management 
• Experience with message queues or streaming platforms (e.g., RabbitMQ, SQS, Kafka). 
• Experience in writing unit test and strong knowledge of design principles, data structures and algorithms. 
• Experience with microservices architecture. 
• Experience in designing new functionality for existing complex components while maintaining scalability and performance. 
• Ability to collaborate effectively and communicate technical concepts to diverse stakeholders. 
• BSc/BE/B.Tech in Computer Science, Software Engineering, or equivalent degree 

Not a Must, but a Great Advantage:

• Practical experience with Agile development methodologies. 
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud). 
• Practical knowledge of non-relational databases (eg. MongoDB) 
• Experience in mentoring new hires and interns, fostering a culture of collaboration and best practices.

#LI-AK1

Key Responsibilities

· Own ad-hoc analytical requests within a defined scope, delivering fast, reliable, and well-documented outputs.

· Translate business and product questions into clear analytical goals, queries, metrics, and KPIs.

· Build and maintain dashboards, visualizations, and alerts that enable self-service decision-making.

· Optimize SQL queries and data processing in BigQuery for performance and cost.

· Design and maintain scalable data layers and models in BigQuery to support AI agents, self-service BI, and product/operational monitoring.

· Lead end-to-end analytical workflows: scoping, extraction, analysis, validation, and presentation.

· Monitor key processes and metrics, proactively surfacing anomalies and opportunities.

· Collaborate with Product, Data Engineering, and business teams on tracking, data contracts, and data quality, ensuring consistent, well-documented data.

Have you done this kind of stuff?

· 2–4 years as a Product/Data/Business Analyst (fintech a plus) and a relevant bachelor’s degree.

· Strong SQL with hands-on BigQuery experience, including optimizing complex queries and data processing.

· Experience designing analytics data models/layers and working with large, event-level datasets.

· Proficient in BI and visualization tools (e.g., Looker, Power BI, Tableau) and building stakeholder-facing dashboards.

· Proven ability to define/track KPIs, translate ambiguous business questions into structured analysis, and communicate insights clearly.

· Interest or experience in building data foundations for AI-driven and self-service analytics; Python is a plus.

#LI-KC1

About the Role

We are looking for a Lead – Data, RevOps to drive data-backed decision-making across our GTM and Revenue Operations teams.

This role sits at the intersection of data and business and requires someone who comes with a builder mindset to any problem statement thrown at them and scales, maintains and improves these new and existing systems

You will work closely with the growth team leadership and cross-functional teams to ensure that data is insightful, accurate, accessible, and actionable.

Roles & Responsibilities

• Own and manage business-critical data across Revenue, Operations, and GTM functions
• Design and build dashboards and reports using BI tools (e.g., Power BI) to enable real-time visibility into key metrics
• Analyze business performance across pipeline, revenue, and operational metrics to generate actionable insights
• Partner with cross-functional teams (Sales, Marketing, Customer Success, Finance) to support data-driven decision making
• Translate business problems into structured data analysis and scalable reporting solutions
• Automate recurring reporting and workflows using tools like Excel, SQL, and Python to improve efficiency
• Develop and maintain data models and ensure consistency across reporting systems
• Identify gaps in processes and recommend data-backed improvements to enhance operational efficiency
• Support planning and forecasting through data analysis and performance tracking
• Ensure data accuracy, hygiene, and governance across systems and dashboards
• Contribute to building scalable data infrastructure and improving accessibility of insights across teams
• Present insights and recommendations clearly to stakeholders, including leadership
• Lead and manage a team of data analysts, market research, and sales ops ICs

What We’re Looking For

Experience

• 4 - 8 years of experience in Data Analytics, Business Analytics, or Revenue Operations
• Prior experience working with Sales / GTM / Revenue teams is preferred
• Experience is leading a team of analysts is preferred

Technical Skills

• Strong proficiency in SQL
• Hands-on experience with Power BI (or similar BI tools) – Advanced level
• Strong working knowledge of Excel / Google Sheets
• Experience with Python for automation and data processing (preferred)
• Familiarity with data warehouses (e.g., BigQuery, Snowflake, Redshift)

Business & Analytical Skills

• Strong understanding of business metrics across pipeline, revenue, and operations
• Ability to convert ambiguous business problems into structured analysis
• Strong problem-solving and analytical thinking

Soft Skills & Mindset

• High ownership and accountability
• Ability to work in a fast-paced, cross-functional environment
• Strong communication skills, with the ability to work with senior stakeholders

Good to Have

• Experience in B2B SaaS or high-growth startup environments
• Exposure to CRM tools (e.g., HubSpot, Salesforce)
• Experience working on performance tracking, forecasting, or incentive reporting

#LI-PB1

About the Role:

We are looking for a hands-on Senior Data Product Manager to join Payoneer's Data Product Unit - the central hub for data product management across the company. In this role, you will be part of a dedicated squad responsible for data products serving the Finance organization, working closely with Finance stakeholders to design and deliver data products that support operational financial capabilities, book closing processes, regulatory reporting, and analytical needs.

You will lead the data product lifecycle end-to-end - from understanding business and regulatory challenges, defining analytical and operational needs, through designing scalable data models and assets, to delivering high-quality data products that empower the Finance organization.

As part of a globally distributed Finance Data Squad, you will collaborate closely with team members across multiple locations worldwide, as well as with the BI developers based alongside you in India. This role is ideal for a product-minded, business-oriented data person who is both strategic and hands-on, and who thrives on connecting complex financial business goals with technical execution.

What You'II Do:

• Own and drive your data product items within the Finance squad roadmap, aligned with strategic business goals, regulatory requirements, and SLA commitments - actively contributing to the squad's shared priorities and delivery goals.
• Work closely with Finance stakeholders to understand data needs, define and prioritize use cases, and develop solutions that improve data accessibility and usability.
• Translate business and regulatory objectives into clear data requirements, KPIs, and technical specifications (PRD and STT).
• Design, develop, and maintain scalable, reliable, and high-performance data products and models that serve analytical, operational, and regulatory reporting use cases.
• Partner closely with BI developers in India to ensure seamless integration of data products with reporting and visualization layers.
• Collaborate with Data Engineering and BI globally to implement and deliver high-quality solutions end to end.
• Ensure alignment and consistency between Finance domain-level data products and the company's core data assets.
• Drive data quality standards and maintain SLA commitments critical to financial reporting and regulatory stability.
• Maintain clear and proactive communication with stakeholders across global teams, ensuring transparency, clarity, and measurable outcomes.
• Monitor usage, adoption, and business impact of delivered data products, iterating based on feedback.
• Contribute to the broader data modernization and innovation initiatives led by the Data Product Unit.

Who You Are:

• 5+ years of experience in data product management, data analytics, or data-driven product roles, with proven hands-on experience.
• Strong understanding of data modeling, data warehouse architecture, and data pipeline design - experience with cloud platforms such as BigQuery required. (ETL Experience)
• Solid business acumen with a good understanding of financial data domains including financial reporting, revenue recognition, balances, and regulatory data.
• Excellent communication and stakeholder management skills - fluent English, capable of bridging business and technical conversations clearly and effectively across a globally distributed team.
• Proficiency in SQL and practical data analysis - comfortable diving into data and validating results.
• Experience working within cross-functional delivery squads with Data Engineering and BI.
• Strong quality orientation with experience defining and enforcing data quality standards, SLA tracking, and issue management.

Must have:

• ETL Experience- data modeling, data warehouse architecture, and data pipeline design - experience with cloud platforms such as BigQuery required
  Proficiency in SQL and practical data analysis - comfortable diving into data and validating results.
• Work with Data & Engineering team (stakeholders) + non-technical team (officers of regulations; finance team

Nice to have:

• Experience working in fintech, payments, or financial services environments.
• Familiarity with regulatory reporting requirements and compliance-driven data products.
• Experience with visualization tools such as Looker, Power BI, or Tableau.
• Background in building data products at scale within multi-domain or globally distributed organizations.
• Experience working with geographically distributed teams across multiple time zones.

#LI-PG1 

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will:

• Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights.
• Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders.
• Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives.
• Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions.
• Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function.
• Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques.
• Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies.
• Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities.

Skills and Experience:

If this opportunity looks right for you, we are looking for candidates who have:

• Bachelor’s degree in computer science, Information Technology, Engineering or related field.
• 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring.
• Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker).
• Proficiency in SQL, Excel, and Python/R
• Expert in data visualization and storytelling; able to craft compelling narratives that drive action.
• Experience in a commerce media or digital marketing agency is a plus.
• Excellent problem-solving, communication, and project management skills.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for an Analyst, based out of Gurgaon / Bangalore who will:

• Deploy data collectors in Adverity to gather data from media, agency system, and other sources

• Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they impact the quality of the reporting solution

• Support the translation of user requirements and business needs into technical specifications
• Be a proficient user of Google Cloud Platform and associated technologies, ensuring your work incorporates industry best practice
• Monitor automated jobs, troubleshooting data issues as-and-when they arise
• Support other members of the team responsible for “last mile” transformation and visualization of data within Google Data Studio reports and dashboards
• Serve as a technical and professional leader for junior staff
• Provide hands-on support to users of reporting solutions, helping the wider team triage and respond to user queries in a timely manner
• Attending internal stakeholder meetings, presenting your solutions, and providing updates on your work.
• Support the development strong working relationships with third-party data providers that we rely on for access to necessary data.

Skills and Experience:

Required

• Bachelor degree in Science or Engineering
• 3+ years’ experience (professional or academic) in data engineering, preferably handling advertising media or marketing data
• Professional experience with Python, ETL Development, SQL and DBT
• Analytically minded, enabling you to understand and overcome technically complex challenges, and to tell compelling stories with data
• Strong organizational skills and attention to detail, including the ability to manage multiple tasks in an autonomous way
• Strong spoken and written communication skills, ensuring your thoughts and needs are heard and understood
• An ability to demonstrate a passion for the digital marketing ecosystem, and an understanding of the role that data plays within it
• Delivers best results when working in a team environment, and an ability to partner effectively with people of varying degrees of technical capability

Desirable

• Previous experience working with data and technology
• Experience with digital marketing platforms and the data they generate, in particular Google Marketing Platform, Facebook, Tiktok etc.  
• An understanding of how data is tracked and exchanged in the process of digital advertising (e.g. role of ad servers and other third-party tech vendors)
• Experience using or building reports with business intelligence software, ideally Microsoft PowerBI
• Work experience within a marketing organization, preferably at a media agency or related company (e.g. publisher, ad tech, client marketing org)

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Required

• Bachelor degree in Science or Engineering
• 3+ years’ experience (professional or academic) in data engineering, preferably handling advertising media or marketing data
• Professional experience with SQL, preferably deployed via DBT
• Analytically minded, enabling you to understand and overcome technically complex challenges, and to tell compelling stories with data
• Strong organizational skills and attention to detail, including the ability to manage multiple tasks in an autonomous way
• Strong spoken and written communication skills, ensuring your thoughts and needs are heard and understood
• An ability to demonstrate a passion for the digital marketing ecosystem, and an understanding of the role that data plays within it
• Delivers best results when working in a team environment, and an ability to partner effectively with people of varying degrees of technical capability

Desirable

• Previous experience working with data and technology
• Experience with digital marketing platforms and the data they generate, in particular Google Marketing Platform, Facebook, Tiktok etc.  
• An understanding of how data is tracked and exchanged in the process of digital advertising (e.g. role of ad servers and other third-party tech vendors)
• Experience using or building reports with business intelligence software, ideally Microsoft PowerBI
• Work experience within a marketing organization, preferably at a media agency or related company (e.g. publisher, ad tech, client marketing org)

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Purpose of the role

The WFM Senior Schedule Planner (Senior SP)/ Schedule Planner operates as senior level role within CEG’s WFM Schedule Planning team, with responsibilities in creating and publishing accurate agent and Team Manager schedules.

The Senior SP/Schedule Planner will organize schedules to optimize balanced SLA delivery and comply with legal and operations constraints. This role also has responsibilities in BAU schedule activities, such as shift assignment, training, meeting and coaching as well as JIRA ticket requests, for agent pull-out. This role is also a ‘subject matter expert’ in Verint setup and maintain Verint profile.

As a senior role in the schedule planning team, the senior SP/Schedule Planner is a support to the WFM management team. The senior SP also provide coaching to team members, as well as leading projects and task.

Activities Performed on the Job

The activities of the Senior Schedule Planner/Schedule Planner will have responsibilities of supporting team management and project management.

1. Shift and specialization planning based on demand need.
2. Design schedule patterns that is non-bias, best fit with demand need and complying to local regulation
3. Upload and publish rosters into Verint.
4. Review changes in demand need, suggest and complete shift change adjustment based on agreed timeline.
5. On time Scheduling and publishing of planned shrinkages to ‘best’ time
   • Training, meeting, and coaching (TMC) planning and mapping to the ‘best’ time in schedule
6. Managing additional shrinkage requests
   • Manage additional shrinkage requests coming from different department, based on priority, and agreed timelines.
7. Complete Work Requests and Ticketed Work Items
   • Manage agents’ user profile based on skillset updates from L&D and reflect reporting alignment based on HC profile updates.
   • Manage and support stakeholders’ requests through JIRA service desk.
   • Update time off pool settings in Verint based on HC profile updates.
8. Stakeholder Engagement
   • Participate with added value in meetings and engagements with key stakeholders (e.g., CEG tech Team, CST Regional Customer Deliver Managers and wider WFM team)
   • Maintain clear communication to all parties in all kinds of communication channel.

The WFM Senior Schedule Planner/Schedule Planner have activities & expectation as below:

1. Strong Personal Performance
   • Always be a role model to Schedule Planners and wider WFM.
   • Perform and complete SP responsibilities with high standard.
2. Supporting Team management
   • Lead/ organize the team in projects/ tasks
   • Provide feedback and support to scheduling team on errors and best practice
3. Project Management
   • Opportunity to guide the team in OKR, projects and tasks with Manager's supervision.
4. Other non-core tasks
   • Support new team members and interns.
   • Other activities as defined by Team Manager and WFM Manager

Expectations – Behaviors and Values

1. Curious mind with a good ability to understand technical concepts
2. Proactive attitude towards both adapting and instigating change
3. Passion to support, help and do the right thing.
4. Understanding Agoda’s business priorities

Competencies Required

The Senior Schedule Planners requires competencies of Schedule Planners and additional competency to excel in presentation is expected:

Qualifications, Experience and Trainings Required

About Agoda   

Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.    

Get to Know our Team:   

The Customer Experience Group of Agoda effectively serves our customers and partners to ensure satisfying results. This great task is accomplished with the support of our Global Service Vertical team. We serve as the backbone for Customer Experience Group’s global operations. Our team is comprised of project managers, process owners, analysts, and talent management. Together we work nonstop to improve the quality and efficiency of our customer and partner support processes. Working with the Global Service Vertical team is a great opportunity to collaborate with various stakeholders and develop initiatives with our sister companies and external partners all over the world. We are a very data-driven environment, eager to move fast and learn through experimentation. A clear focus on supporting our customers and partners is bolstered by a strong, entrepreneurial culture that enriches us and Agoda’s business performance.  

The Opportunity:  

We are looking for a WFM Senior Planner - Forecasting to support our growing CEG team. You will help manage workforce planning & forecasting , ensure strategic goals are met through forecast modeling, collaborative planning, and effective communication with various teams within CEG and other departments.  

You also need to have good story telling abilities to be able to explain and drive conversations with senior leaders within CEG.  

ACTIVITIES PERFORMED ON THE JOB:  

• Lead Planning and forecasting for one product in CEG which could include HC Forecast, Attrition forecast, BPO forecast, etc. 

• Develop forecasting models to predict voice contact volume and key call statistics, email volume, chat/messaging, and future additional channels.  

• Analyze contact volume, handle time data from multiple point of views to understand and explain the potential gaps and next steps. (SQL expertise may be needed) 

• Communicate proactive adjustments to the workforce plan based on changing/dynamic forecasts and re-forecast when necessary.  

• Work with Analytics team to drive dashboarding, gap analysis, etc. to ensure WFM dashboards are always error free. 

• Collaborate with other departments, team managers, and operations leaders to identify opportunities for improvement of resource utilization.  

• Communicate and recommend actions related to forecasting and resource planning to CEG leadership team.  

• Collaboration with wider WFM team and WFM Leadership team by providing input on decisions or updates and be open and constructive about what is not working well and how the group can improve.  

EXPECTATIONS - BEHAVIORS AND VALUES  

 COMPETENCIES REQUIRED  

 It’s Great If You Have:  

• Strong Excel and SQL skills.  

• Experience in Python or R is good to have.  

• Understanding of data visualization tools like Tableau.  

We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available.   

About Agoda  

Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.   

Get to Know our Team:  

The Customer Experience Group of Agoda effectively serves our customers and partners to ensure satisfying results. This great task is accomplished with the support of our Global Service Vertical team. We serve as the backbone for Customer Experience Group’s global operations. Our team is comprised of project managers, process owners, analysts, and talent management. Together we work nonstop to improve the quality and efficiency of our customer and partner support processes. Working with the Global Service Vertical team is a great opportunity to collaborate with various stakeholders and develop initiatives with our sister companies and external partners all over the world. We are in a very data-driven environment, eager to move fast and learn through experimentation. A clear focus on supporting our customers and partners is bolstered by a strong, entrepreneurial culture that enriches us and Agoda’s business performance. 

The Opportunity: 

We are looking for a WFM Senior Associate Manager to support our growing CEG team. You will help manage the long-term forecasting, ensure strategic goals are met through forecast modeling, collaborative planning, and effective communication with various teams within CEG and other departments.

You also need to have good story telling abilities to be able to explain and drive conversations with senior leaders within CEG. 

ACTIVITIES PERFORMED ON THE JOB: 

• Lead Planning and forecasting for one or more products in CEG and manage end-to-end interactions with Senior leadership, Operations, Finance, etc. 

• Lead/participate in workforce management-related projects with various teams within and outside CEG. 

• Develop forecasting models to predict voice contact volume and key call statistics, email volume, chat/Messaging, and future additional channels.

• Review & communicate necessary real-time and proactive adjustments to the workforce plan based on changing/dynamic forecasts and re-forecast when necessary. 

• Collaborate with other departments, team managers, and operations leaders to identify opportunities for improvement of resource utilization. 

• Communicate and recommend actions related to forecasting and resource planning to CEG leadership team.  

• Collaboration with wider WFM team and WFM Leadership team by providing input on decisions or updates and be open and constructive about what is not working well and how the group can improve. 

EXPECTATIONS - BEHAVIORS AND VALUES 

COMPETENCIES REQUIRED 

It’s Great If You Have: 

• Strong Excel skills and beginner SQL skills. 

• Experience in Python or R is good to have. 

• Understanding of data visualization tools like Tableau. 

We welcome both local and international applications for this role.

New hires will be based in Kuala Lumpur, Pune or Gurgaon Only. Full visa sponsorship and relocation assistance available. 

ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives. 

ClearView’s Data & Analytics practice is looking for motivated individuals to join our team as Data Analysts to accelerate the continued growth of our capabilities. Members of the data team work closely with the consulting staff and senior leadership to solve complex and unique problems in the life sciences. The data analysts will leverage common tools (i.e., SAS, SQL, R, and Python), large data sets, and creativity to build models and processes to support ClearView’s clients.

Responsibilities: 

As a Data Analyst, you will interact with internal and external teams to address critical strategic questions within the biopharmaceutical space. During the course of a typical project, you will: 

• Collect, clean, mine, and analyze data. 

• Serve as a knowledge resource for the consulting staff regarding statistics, machine learning, and life sciences data. 

• Design and create advanced models to drive analytically driven strategy projects. 

• Innovate project approaches and identify new life sciences problems to solve with analytics. 

• Aid in team building by making code scalable through templates, macros, or interfaces. 

• Clearly communicate analytical techniques and findings from analyses in a non-technical manner. 

• Work in a high-performance, strongly collegial, and collaborative environment. 

Requirements 

The successful candidate for the Data Analyst role must have the following skills and experience: 

• Bachelor’s degree or above in Statistics, Mathematics, Machine Learning, Physics, or a related field. 

• Relevant experience of 1-3 years working on insurance claims and EHR databases – IQVIA (LAAD), Komodo (Sentinel), Forian, Compile and others.   

• Experience with large data manipulation in SAS or SQL interfaces. 

• Experience with life science APIs & public datasets (e.g., PubMed, OpenTrials, CMS, CDC, etc.). 

• Experience in at least one of the following areas: 

• Excel modeling (using a spreadsheet to make quantitative predictions based on a series of underlying assumptions). 

• Common machine learning models (e.g., neural networks, support vector machines, decision trees). 

• Advanced regression models (e.g., Bayesian, hierarchical, non-linear). 

• Unsupervised learning. 

• Advanced time series. 

• Detail-oriented with the ability to dive deep into business processes, data, and analytics. 

• Independent, creative, and driven quantitative thinker.
• Role is based out of our Gurgaon, India office.  

About the Role

We are looking for a skilled and detail-oriented Python Developer to join our team. In this role, you will focus on writing efficient scripts, analyzing complex data, and delivering actionable insights through clear and accurate visualizations. The ideal candidate will be a fast learner with a strong foundation in software development principles and a passion for solving challenging problems.

Key Responsibilities

• Design and develop efficient Python scripts for data analysis and automation.
  
  
• Build accurate and insightful data visualizations to support decision-making.
  
  
• Implement and maintain alerting tools to monitor data workflows and systems.
  
  
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
  
  
• Apply strong knowledge of data structures, algorithms, and OOP concepts to write performant, maintainable code.
  
  
• Continuously optimize and improve data processing pipelines for scalability and performance.
  
  

Key Requirements

• Experience: 2–5 years as a Software Engineer or Python Developer.
  
  
• Strong proficiency in Python with the ability to quickly learn new frameworks and libraries.
  
  
• Hands-on experience with SQL for querying and data manipulation.
  
  
• Experience with data visualization/plotting tools (e.g., Matplotlib, Seaborn, Plotly).
  
  
• Familiarity with alerting and monitoring tools.
  
  
• Solid understanding of data structures, algorithms, and OOP concepts.
  
  
• Excellent problem-solving skills, analytical thinking, and attention to detail.

Benefits:

Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices, disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends!

Our perks have you covered.

• Competitive compensation
• 6 weeks of paid vacation
• Monthly after work parties
• Catered breakfast and lunch
• Fully stocked kitchen
• International team outing

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a skilled Application Reliability Engineer to be the first line of defense for ensuring the reliability, availability, and performance of our databases, services, and trading support systems. You’ll not only monitor, troubleshoot, and resolve production issues, but also build automation, improve observability, and drive long-term stability of mission-critical systems. You’ll work closely with developers, traders, and infrastructure teams to triage issues, manage deployments, and continuously improve operational workflows.

The ideal candidate will possess a strong background in technical support, with a passion for problem-solving and a commitment to excellence.

As a Application Reliability Engineer, you will be responsible for:

• Monitor production services and respond quickly to alerts, incidents, and outages to ensure smooth operation and minimal downtime.
• Monitor trading systems and infrastructure.
• Triage issues across trading support services, databases, and infra; escalate and coordinate with the right owners, and drive root-cause analysis and ensure fixes are implemented for long-term stability.
• Serve as the first line of defense for trading operations.
• Proactively identify, address recurring issues, and build automation to reduce manual intervention.

• Improve observability by enhancing monitoring, logging, and alerting systems.
• Develop and maintain operational runbooks and SLO/SLA metrics.

Requirements :

• Possess a degree in a highly analytical field, such as Engineering, Mathematics, or Computer Science
• Upto 2 years of experience in Python, Shell/Bash scripting.

Experience with Linux and shell online tools

• Hands-on experience with databases (SQL, NoSQL)
• Strong problem-solving and analytical skills
• Excellent communication skills
• Ability to remain calm and analytical under production pressure

Good to have:

• Familiarity with monitoring/alerting stacks (Prometheus, Grafana, ELK, etc.)
• Familiarity with distributed messaging (Kafka) and caching systems (Redis)
• Experience with CI/CD pipelines and deployment automation
• Prior experience in a support, SRE, or production engineering role

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact   

The Manager / Senior Associate, Client Analytics reports to the Director of Analytics, working to design, customize and maintain platforms for business analytics and measurement. You would have excellent oral and written communication skills, be client obsessed, self-motivated and able to operate both as a team and independently with limited guidance and direction

The Manager / Senior Associate, Client Analytics is following the direction of Director of Analytics and is responsible for data manipulation and visualization, performing quantitative data analysis, problem solving, statistical modeling, and developing/analysing business cases.

WHAT YOU WILL DO   

• Apply deep knowledge of basic statistics (significance testing, correlation analysis, confidence intervals, descriptive statistics) to support analytical solutions.
• Use statistical modelling techniques (regression, classification) to extract business value from campaign data.
• Utilize programming languages (Python, R, SQL), statistical packages (SciPy), and Google tools (BigQuery, Tensorflow, Datalab) to prototype and deliver data-driven solutions.
• Recommend and develop technical solutions with guidance from senior leadership.
• Define project scope, setup, and effort estimation in collaboration with the account Analytics lead.
• Build and maintain strong relationships with Analytics leads and gain a deep understanding of client challenges.
• Work closely with key stakeholders to assess project needs and ensure delivery of best-in-class analytics work.
• Collaborate with regional leadership on process development, improvement, and compliance.
• Support campaign measurement, determine incremental lift from marketing activities, and manage reporting and data needs (ingestion, cleaning, delivery).
• Code in SQL and Python to create reports and build dashboards; automate recurring workloads to improve efficiency.
• Generate meaningful insights using advanced analytics/statistical techniques; create dashboards and presentations for wider teams.
• Ensure continuous collaboration and progression across bands, disciplines, and offices.

Skills and Experience  

• 3–6 years of relevant industry experience in analytics-focused roles.
• Degree in an applied quantitative field (data science, mathematics, statistics, engineering, economics, business management, computer science, or related).
• Understanding of marketing campaigns, objectives, and measurement techniques; prior experience in digital agency or consulting preferred.
• Proficient coding skills in statistical software (R, Python, SciPy), programming languages (SQL, Python), and MS Office tools (especially advanced Excel/Google Sheets).
• Experience in owning and delivering analytics projects, including correlation, regression, significance testing, A/B tests, and supervised machine learning.
• Practical understanding of data science techniques, statistical analysis, and modelling.
• Passion for data analysis, troubleshooting data anomalies, integrating data from multiple sources to create repositories for data science models.
• Ability to transform raw data into actionable business insights for decision-making and strategic planning.
• Strong logical thinking, problem-solving, and stakeholder management skills.
• Excellent verbal and written communication skills.
• Adherence to quality standards and ability to plan and prioritize work.
• Experience using or building reports with business intelligence tools is a plus.
• Experience in applying big data, statistics, and analytical techniques to solve client problems is preferred.
• Business acumen to provide actionable strategic recommendations is preferred

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

ArmorCode is on a mission to supercharge security teams with a new independent governance approach to reduce risk and burn down critical security technical debt. With its AI-powered ASPM Platform, driven by over 15 billion findings from over 260 ecosystem integrations, ArmorCode delivers a single, unbiased view of your risk across applications, infrastructure, containers, and cloud. ArmorCode unifies and normalizes findings, correlates them with business context and threat intel through adaptive risk scoring, and orchestrates security workflows to empower users to easily remediate issues. ArmorCode delivers unified visibility, AI-enhanced prioritization, remediation and scalable automation for customers so they can realize a complete understanding of risk, respond at scale, and collaborate more effectively.

Enterprises of all sizes, including dozens of Fortune 1000 companies, scale their security effectiveness by more than 10x and maximize their ROI on existing security investments with ArmorCode through managing Application Security Posture, Risk-Based Vulnerability Management, Software Supply Chain Security, DevSecOps, and Risk & Compliance.‍

ArmorCoders believe in 5 core values: Hungry. Humble. Hardworking. Honest. Human. Our organization is powered by exceptional professionals who bring fresh ideas and passion to their roles, believing that nothing is beyond reach when our "5H" principles are applied. In their work and professional relationships, ArmorCoders commit to excellence and experiences that leave an impression.

Job Description

• Work on Automation to ensure continuous delivery of the product
• Build/Automate using Rest Assured/Selenium and execute the scripts/tests to maintain a robust Software
• Monitor and track resolution of defects, and effectively communicate it in daily standup
• Execute manual test cases, analyze results, check logs, data in database and report issues in a bug tracking system
• Conduct exploratory testing to identify potential issues not covered by formal test cases
• Work with the quality, development and field teams to ensure product quality and usability

Qualifications and Experience requirements

• Desired experience range is 4 to 7 years
• Knowledge of automation language, tool, and scripts such as Java, Selenium or TestCafe, Postman
• Good Knowledge of SQL or no-SQL DBs (MySQL, mongo, redis, etc.)
• Experience in API and/or Backend testing
• Must have proven analytical and problem-solving skills

Why you will love it : 

• Career Growth Opportunities: We believe in promoting from within and provide career progression paths, enabling our employees to advance in their careers
• Work-Life Balance: We understand the importance of a healthy work-life balance, offering flexible hours and remote work options to promote a sustainable lifestyle
• Collaborative Environment: Our company fosters a collaborative and inclusive workplace culture, where employees can collaborate and learn from each other's experiences
• Employee Recognition: We value and recognize the contributions of our team members through awards, employee of the month programs, and other forms of acknowledgment.
• Competitive Compensation: We offer competitive salaries and performance-based bonuses, recognizing and rewarding the hard work and dedication of our team
• Comprehensive Benefits: Our benefits package includes health insurance for employees and dependents, to support the overall well-being of our employees. We encourage learning and skilling, and aid our employees to continuously upskill themselves.
• Diversity and Inclusion: We are committed to diversity and inclusion, striving to create an environment where all employees feel valued, respected, and empowered

Join ArmorCode and lead the charge in reducing signal fatigue, prioritizing risk and streamlining key cybersecurity workflows. Apply today to be part of a close-knit team, dedicated to democratizing software security and helping build the safest software possible.

Equal Opportunity

Role: Marketing Manager 

Location: Gurgaon, India

About the role: 

We are looking for a hands‑on brand partnership expert to drive UPI growth, co‑branded credit card and other features we launch on GPay through deep integrations with online merchants, high‑impact sporting events, and food/grocery platforms. To design incentive mechanics, negotiate and execute full‑funnel merchant integrations, and own the partner funnel from onboarding to first transaction — all with strong analytical rigor and a growth mindset. 

What you will be doing: 

• Act as the primary partner POC for merchant alliances, media agencies, to drive card & UPI adoption. 
• Design and prototype reward constructs (streak-based benefits, contextual/triggered offers, time/occasion-based boosts) to increase activation, trial and frequency. 
• Drive negotiations and integration scopes that deliver win‑win outcomes (merchant app integrations, promotional placements, co‑branded experiences). 
• Define and track growth KPIs (activation rate, conversion to first transaction, repeat usage, transactions per user, incremental, ROI) and deliver regular performance reports. 
• Collaborate cross‑functionally with product, engineering, analytics, marketing and legal to implement tracking, experiments and campaign measurement. 
• Run experiments, A/B tests and rapid iterations on partner mechanics and reward constructs to maximize ROI. 
• Identify and prioritize new partnership opportunities (sports sponsorship activations, seasonal campaigns, channel synergies) to scale adoption. 
• Operational Versatility: Support broader PMM workstreams as needed, including GTM coordination, and cross-functional project management beyond social channels 

What you need to be great in this role: 

• 7+ years experience in Growth, Strategic Partnerships or Alliances at a consumer‑tech startup or large consumer internet company. 
• Demonstrated experience negotiating and executing merchant or channel partnerships, preferably with major food/grocery or commerce players. 
• Strong analytical skills — comfortable with cohort analysis, funnel modeling, unit economics and hands‑on use of Excel/SQL and experimentation data. 
• Product and marketing sensibility: ability to design incentive mechanics that drive behavior change and measurable outcomes. 
• Proven ability to own end‑to‑end initiatives, operate autonomously, and manage multiple stakeholders across orgs. 
• Excellent communication and stakeholder management skills; 
• Bias for testing, speed and iterative improvement. 
• Passion for and inquisitive about AI and new technologies 
• Understanding and knowledge of AI tools is beneficial, but ability to learn and digest benefits and features of AI tools is critical 

Req ID: 17038

#LI-SP1 #LI-Remote

ABOUT VAYNERX

VaynerX (https://vaynerx.com) is the most contemporary family of companies, working together to build and grow brands. Subsidiaries include VaynerMedia, Eva Nosidam Productions, The Sasha Group, Gallery Media Group, Tingley Lane Trading, VaynerSpeakers, and VaynerCommerce.

The PITCH

We are seeking a passionate and driven Data Engineer to help build a next-generation data and measurement platform that powers advanced data solutions for our Fortune 500 clients and internal teams.

As a member of the Data Infrastructure and Visualization team within our Analytics discipline, you will be a key contributor in designing, building, and scaling the reporting and analytics infrastructure that is the backbone for all VaynerMedia clients. In this role, you’ll collaborate closely with internal stakeholders, analysts, and data scientists, while partnering with fellow data engineers to architect and implement robust cloud-based data solutions.

We’re looking for a technically proficient Data Engineer with a strong background in cloud infrastructure and a keen interest in delivering scalable, high-performance data systems that enable actionable insights and strategic decision-making.

Here’s where you come in.

• Develop & implement ETL/ELT solutions leveraging cloud based architecture. Design the ingestion layer and data transformation and normalization to optimize querying performance and reporting outputs
• Debug production issues across our organizations cloud infrastructure
• Highly experienced with SQL scripting language to maintain and troubleshoot queries and processes within cloud based data warehouse
• Expertise in python to help develop and maintain workflows that enhance data automation, data hygiene, and enable efficient connections to 3rd party platforms for data retrieval and storage on cloud based platforms (aws, snowflake)
• Lead data integration projects with 3rd party solutions, with a focus on increasing process efficiencies in a cost-effective manner
• Partner with the Analytics stakeholders to automate and scale processes that improve data utilization and reporting deliverables
• Understanding & Documenting business requirements & technical specifications related to new data integrations. Design and execute unit testing to help mitigate data discrepancies in support of client reporting

Your Experience

• 3 to 5 years of data engineering experience, particularly in support of cloud based data warehouse
• Strong knowledge of working in Snowflake and AWS (Redshift, Athena, Lambda)
• Expert in hands on Python development
• Expertise in building ETL/ELT pipelines in an cloud based data warehouse
• Experience with 3rd party data ingestions and normalization via APIs, peer-to-peer networks, SFTP, etc
• Well versed with leading requirement gathering sessions across verticals (analytics, media, or finance teams)
• Adapt communication style to relevant audiences (from technical teams to non-technical stakeholders)
• Communicates effectively via emails and in presentations
• Present complex ideas in practical terms to non technical stakeholders

What you should know about VaynerMedia

Think “lab” and not “agency”. We get excited about solving business problems, not creating advertising for the sake of making advertising. Our entrepreneurship DNA runs deep. We’re willing to break rules, try new things, and test hypotheses if it means better understanding our craft. It’s fun!

Our environment (and pace) feels much more like a start-up than most agencies you might be used to. Hopefully that, and the opportunity to collaborate with the talented and enthusiastic crew, work with big brands excites you, as it does us. We can’t wait to meet you.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Profile Summary: A highly skilled and client-focused Client Analytics Manager specialising in delivering insightful measurement and performance analysis for global clients. Proficient in leveraging various data sources and analytical tools to provide strategic recommendations that optimise marketing campaigns and drive business outcomes. Expertise in managing client relationships, translating complex data into clear, actionable insights, and ensuring the delivery of best-in-class analytical support for high-value accounts.  

Key Skills: 

• Strong analytical and quantitative skills with a focus on marketing performance, business impact, and client strategy. 

• Proficiency in interpreting measurement data from various vendors to provide strategic insights. 

• Experience with data visualisation tools (e.g., Tableau, Power BI) and advanced Excel for reporting and analysis. 

• Familiarity with advertising platforms like DV360 and The Trade Desk, enabling effective understanding of campaign data and optimisation opportunities. 

• Ability to translate complex data analysis into clear, concise, and actionable recommendations for clients and internal stakeholders. 

• Excellent communication and presentation skills, with a proven ability to manage client expectations and foster strong relationships. 

• Solid understanding of marketing KPIs, campaign optimisation, and measurement methodologies. 

• Experience with SQL and/or Python for data extraction and preliminary analysis. 

Description: 

• Manage and deliver high-quality analytics and measurement projects for a portfolio of global clients 

• Analyse campaign performance data, leveraging insights from various measurement vendors to identify opportunities for optimisation and demonstrate ROI. 

• Collaborate closely with client teams and internal stakeholders to define analytical objectives and deliver strategic recommendations that align with business goals. 

• Develop and present compelling reports and presentations to clients, clearly articulating findings, their business implications, and fostering a data-driven culture. 

• Ensure the consistent delivery of best-in-class analytical support, protecting existing revenue streams, maintaining client trust, and enhancing confidence in prop media solutions. 

• Provide guidance on measurement strategies and contribute to the evolution of analytical frameworks for key clients. 

Education: 

• Bachelor's Degree in Marketing, Business Analytics, Statistics, or a related quantitative discipline. 

Ideal Certifications: 

• Google Analytics Individual Qualification 

• Google Ads Certification 

• Tableau/Power BI Certification 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

#LI-GOC

Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.

Get to Know Our Team

The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.

Why Agoda Engineering Team (ML role)?

Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.

This role is based in Gurgaon, India. 

In this Role, you will get to:

• Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes.
• Build, administer and scale ML processing pipelines.
• Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
• Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc
• Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
• Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
• We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.

What You’ll need to Succeed:

• Bachelor’s degree in computer science /information systems/engineering/related field
• 8+ years of experience in software engineering with a minimum of 4+ years in ML
• Good experience in Pyspark
• Expert level understanding of Python with design patterns and object-oriented programming.
• Experience debugging and reasoning about production issues is desirable.
• A good understanding of data architecture principles preferred.
• Any other experience with Big Data technologies / tools
• SQL experience
• Analytical problem-solving capabilities & experience.
• Systems administration skills in Linux
• A strong engineering driven mindset will be required to succeed in this role.

It’s great if you have:

• Good understanding of Hadoop ecosystems
• Experience working with Open-source products
• Experience with Scala development
• Working in an agile environment using test driven methodologies

Benefits

• Hybrid Working Model
• WFH Set Up Allowance
• 30 Days of Remote Working from anywhere globally every year
• Employee discount for accommodation globally
• Global team of 90+ nationalities
• 40+ offices and 25+ countries
• Annual CSR / Volunteer Time off
• Benevity Subscription for employee donations
• Volunteering opportunities globally
• Free Headspace subscription
• Free Odilo & Udemy subscriptions
• Access to Employee Assistance Program (third party for personal and workplace support)
• Enhanced Parental Leave
• Life, TPD & Accident Insurance

#telaviv #jerusalem #LI-SK1 #IT #ENG #4 #LI-PS4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #LI-RS1 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Senior Data Engineer, based out of Gurgaon/Bangalore who will:

• Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability.
• Implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing.
• Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency.
• Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime.
• Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team.
• Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets.
• Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise.

Senior-Level Expectations:

• Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies.
• Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation.
• Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes.

Skills and Experience:

If this opportunity looks right for you, we are looking for candidates who have:

• 3-4 years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP).
• Proven expertise in designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation.
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.

Good to have-

• Adverity
• Dataflow
• Big Query
• Databricks
• DBT
• Terraform
• Wrike/Jira/Azure DevOps
• DP‑203 / GCP Data Engineer certifications

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact 

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will: 

• Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights. 

• Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders. 

• Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives. 

• Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions. 

• Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function. 

• Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques. 

• Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies. 

• Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities. 

Skills and Experience: 

If this opportunity looks right for you, we are looking for candidates who have: 

• Bachelor’s degree in computer science, Information Technology, Engineering or related field. 

• 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring. 

• Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker). 

• Proficiency in SQL, Excel, and Python/R 

• Expert in data visualization and storytelling; able to craft compelling narratives that drive action. 

• Experience in a commerce media or digital marketing agency is a plus. 

• Excellent problem-solving, communication, and project management skills. 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary & Impact

In this role, you will be responsible for measurement planning, weekly reporting, media and creative testing/analysis, and competitive research and analysis.

Skills and Experience

• Work with senior level Insights and Analytics staff to develop project timelines and deliverable schedules
• Deliver projects while communicating project progress, issues, and deliverables to manager and director
• Conduct client calls and bring in extended team members when necessary 
• Establish a strong relationship with day-to-day clients through a demonstration of industry knowledge and a deep understanding of client’s business objectives
• Develop creative and media strategies in collaboration with other departments
• Develop measurement plans and reports that are relevant to the client’s business and their creative/media testing
• Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, OR related field; or equivalent professional work experience
• 2+ years of relevant work experience with Adobe Analytics, Google Analytics, and/or other web analytics tools Data Visualization experience (Tableau, Power BI, Domo)
• Knowledge of media industry research tools, including MRI, Media Metrix, and Nielsen Strong understanding of metrics, including Media and Quantitative business measures
• Advanced Excel skills and understanding of Microsoft Access and databases R, SAS, and SQL experience a plus

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

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About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

This role will serve as core member of a data engineering team assigned to one of WPP’s major global clients, who will be maintaining and expanding upon a global data warehouse, automated reports, and data provisioning applications to ensure that media and marketing stakeholders the world will have access to the right data and insights to inform their marketing decisions.  

WPP has developed the Measure platform, a stack of standardized technologies (Adverity for collection, DBT for modelling, Google Cloud Platform for orchestration, computing, and storage, and Microsoft PowerBI for visualization) and templates to speed the deployment and simplify support for automated reporting and analytics tools.

The team’s primary responsibility is to build and maintain a global Measure-based reporting solution, leveraging existing templates where applicable and building custom collectors, data models, cloud architectures, and/or visualizations when required. The team will automate the collection and transformation of disparate marketing data into a single source of truth, continually improving it to incorporate new data sources, and to derive new insights, to support ever-evolving business demands.

As an Senior Data Engineer, your primary responsibilities will include deploying and troubleshooting standardized Adverity data collection templates,  QAing landed versus source data using self-developed scripts and manual processes, gathering platform and ad account parameters from upstream stakeholders, working within and contributing to the team building the data warehousing solution,  adhering to technical standards and best practices, and contributing to the documentation of custom work.

In doing so you will exhibit a foundational understanding of cloud technology and key data engineering skills and knowledge to help your team in this fast-evolving and in-demand industry.

Some of the things we’d like you to do:

• Deploy data collectors in Adverity to gather data from media, agency system, and other sources

• Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they impact the quality of the reporting solution

• Support the translation of user requirements and business needs into technical specifications
• Be a proficient user of Google Cloud Platform and associated technologies, ensuring your work incorporates industry best practice
• Monitor automated jobs, troubleshooting data issues as-and-when they arise
• Support other members of the team responsible for “last mile” transformation and visualization of data within Google Data Studio reports and dashboards
• Serve as a technical and professional leader for junior staff
• Provide hands-on support to users of reporting solutions, helping the wider team triage and respond to user queries in a timely manner
• Attending internal stakeholder meetings, presenting your solutions, and providing updates on your work.
• Support the development strong working relationships with third-party data providers that we rely on for access to necessary data.

A bit about yourself:

Key Responsibilities:

• Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability.
• Implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing.
• Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency.
• Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime.
• Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team.
• Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets.
• Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise.

Senior-Level Expectations:

• Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies.
• Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation.
• Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes.

Required Skills

• 3-4 years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP).
• Proven expertise in designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation.
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.

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