
WPP · London
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-ge...
WPP is the trusted growth partner for the world’s leading brands.
We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative
enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing
platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.
We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.
Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning,
attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.
For more information, visit WPP.com.
WPP is at the forefront of the marketing and advertising industry's largest transformation. Our Global CIO is leading a
significant evolution of our Enterprise Technology capabilities, bringing together over 2,500 technology professionals into an
integrated global team. This team will play a crucial role in enabling the ongoing transformation of our agencies and functions.
We are seeking a Senior Data Engineer to serve as the technical anchor for WPP's global people data product. This is a hands-on
senior role within the People Data & Insights team, responsible for the design, implementation, and ongoing evolution of the data
pipelines and models that underpin enterprise-wide workforce reporting, regulatory compliance, and strategic people analytics
across 90+ markets and 100K+ employees.
This is not a coordination role. It requires deep, practised data engineering capability combined with the architectural judgement
to make enterprise-grade design decisions independently — with full autonomy over schema, ingestion patterns, data
standardisation, and pipeline architecture — in a complex, multi-source, globally scaled environment.
data from multiple HR and workforce systems — including Workday — into a governed, enterprise-grade data model built on
Databricks and Delta Lake.
enforce schemas, ingestion patterns, and transformation logic that support scalability, consistency, and downstream reporting,
analytics, and regulatory use cases.
standardisation approaches, and pipeline patterns — reducing escalation to senior leadership and enabling faster,
higher-confidence delivery.
requirements, including the EU Pay Transparency Directive, UK Gender Pay Gap reporting, and ESG/CSRD workforce data
obligations.
aligns with WPP's broader data platform standards, governance frameworks, and integration patterns.
within the team — raising standards, improving consistency, and building engineering capability across the function.
— ensuring the platform remains accurate, audit-ready, and defensible for executive and regulatory reporting.
environment
design
consumption
You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views.
We are open-minded: to new ideas, new partnerships, new ways of working.
You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our
clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.
You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers
of our industry; we provide extraordinary every day.
Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.
Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the
industry.
Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the
challenge?
#LI-Hybrid
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.
WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular
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.
PLEASE READ OUR PRIVACY NOTICE (HTTPS://WWW.WPP.COM/EN/CAREERS/WPP-PRIVACY-POLICY-FOR-RECRUITMENT) FOR MORE INFORMATION ON HOW WE
About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor, the world’s largest travel site, operates at scale with over 500 million reviews, opinions, photos, and videos reaching over 390 million unique visitors each month. We are a data driven company that leverages our data to empower our decisions. Tripadvisor is extremely excited to play a pivotal role in supporting our travellers. With travel plans dashed in early 2020, many people have been dreaming about their next big holiday for more than a year, so it’s no surprise that travellers are extra conscious of getting it just right when they do travel. Helping to play an important role in enabling travellers is an amazing opportunity over the next year and beyond. Our data engineering team is lookig to hire a Senior Data Engineer in the UK. The new Senior Data Engineer will be focused on delivering Tripadvisor’s first-in-class data products that serve all data users across the organization. As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the full data vertical including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key analytics insights for business-critical decisions at the highest levels of Product, Finance, Sales, CRM, Marketing, Data Science, and more. All in a dynamic environment of continuously modernizing tech stack including highly scalable architecture, cloud-based infrastructure, and real-time responsiveness. Tripadvisor provides a unique, global work environment that captures the speed, innovation and excitement of a startup, at a thriving, growing and well-established industry brand. We take pride in our data engineering and are looking for a talented and highly-motivated engineer with a passion for solving interesting problems to add to our high-performing team. What You'll Do * Providing the organization’s data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale (terabyte and growing) sources. * Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery. * Developing and improving our enterprise data marts by creating efficient and scalable data models to be used across the organization. * Partnering with our analytics, data science, crm, and machine learning teams for data solutions. * Responsible for an enterprise data mart integrity, validation, and documentation. * Responsible for the data pipelines’ SLA and dependency management. * Writing technical documentation for data solutions, and presenting at design reviews * Solving data pipeline failure events and implementing sound anomaly detection * Working with various teams from analytics to product owners and front end developers on tracking solutions and solving technical challenges * Leading medium to large size projects in terms of writing technical specs and project planning * Mentoring junior members of the team. Skills & Experience * BS or MS degree in Computer Science or a related technical discipline * 6+ years of data engineering or general software development experience * Experience working with large datasets (terabyte scale and growing) and familiarity with various technologies and tooling associated with databases and big data: * Big Data (i.e. Hadoop, Hive, BigQuery, Snowflake) * Relational DB (MS SQL, PostgreSQL/MySQL) * Comprehensive data design and data modeling experience * Solid experience developing complex ETL processes from concept to implementation; these should include defining SLA, performance measurements and monitoring. * Advanced query language and data exploration skills, proven record of writing complex SQL queries across large datasets. * Systems performance and optimization experience, with an eye for how systems architecture and design impacts performance and scalability * Experience in functional programming in Python or in an equivalent language * Strong software engineering principles * Self-paced, organized, and detail-oriented person with a strong sense of ownership * Strong communication skills to effectively communicate with both business and technical teams. * Ability to work in a fast-paced and dynamic environment * Proven record of technical leadership on planning and driving medium to large size projects and handling challenging deadlines. * Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems. * Ability to break down complex problems into simple solutions. * Ability to work with end users to solve technical challenges * Comfortable owning the full data vertical and work autonomously * Ability to mentor and support more junior members of the Team Nice to have * Exposure to and/or interest in machine learning and data science specifically to help solve day-to-day problems and reach objectives in an innovative way * Experience working with task orchestration tools, Airflow or similar systems * Comfortable working in a Linux CLI environment * Experience in designing high-scale, fault-tolerant and performant distributed applications * Experience in developing and managing real-time data pipelines * Experience in programming languages such as Java or equivalent * Experience with data governance. What We Offer * Competitive compensation packages, including base salary, annual bonus, and more. * “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations. * Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. * Donation matching. Give back? Give more! We match qualifying charitable donations annually. * Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. * Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. * Travel perks. We believe that travel is employee development, so we provide discounts and more. * Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges. * Health benefits. We offer great coverage and competitive premiums. * Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: * Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. * Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. * We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog, for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers! #Tripadvisor #Remote #LI-AMCVAY
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: We are seeking an experienced and visionary Engineering Manager to lead one of our data engineering team. In this role, you will be responsible for managing and scaling data products, driving data pipeline development, and ensuring the availability, quality, and security of our data assets. You will collaborate closely with cross-functional teams including data scientists, analysts, product managers, and software engineers to enable data-driven decision-making across the organization. What you'll be doing: * Lead, mentor, and grow a high-performing team of data engineers. * Design, build, and maintain scalable, reliable, and efficient data pipelines and architectures. * Oversee the development and implementation of ETL/ELT processes, data warehousing, and data lake solutions. * Collaborate with stakeholders to understand business requirements and translate them into technical data solutions. * Ensure data quality, consistency, and security across all data engineering workflows. * Define best practices and standards for data engineering and promote their adoption. * Drive continuous improvement in data infrastructure and tooling, leveraging cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark,dbt). * Collaborate with PMs to manage project timelines, resource allocation, and deliverables to meet business goals. * Work with data governance and compliance teams to ensure data privacy and regulatory compliance. * Stay updated with the latest data engineering trends and technologies and evaluate their applicability. What you'll need: * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. * 7+ years of experience in data engineering or software engineering roles, with at least 3 years in a leadership/management position. * Strong expertise in data pipeline development, ETL/ELT processes, and data warehousing solutions. * Proficient with cloud platforms (AWS, GCP, Azure) and big data tools like Apache Spark, Python, etc. * Experience with relational and NoSQL databases. * Solid understanding of data modeling, data architecture, engineering frameworks * Proven ability to lead and scale engineering teams and manage cross-functional projects. * Excellent problem-solving skills and ability to communicate complex technical concepts to both technical and non-technical stakeholders. * Experience with agile development methodologies. Who you are: You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid 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. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular 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. PLEASE READ OUR PRIVACY NOTICE (HTTPS://WWW.WPP.COM/EN/CAREERS/WPP-PRIVACY-POLICY-FOR-RECRUITMENT) FOR MORE INFORMATION ON HOW WE PROCESS THE INFORMATION YOU PROVIDE.
About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here * As at 31 March 2026 The Team Join our Streaming Data team, part of our Data Platform Engineering organisation at the heart of a quantitative investment firm, powering the market data infrastructure which drives our systematic trading strategies and cutting-edge discretionary research. As a Senior Python Engineer, you’ll help architect our multi-petabyte scale estate, processing billions of datapoints daily from thousands of data sources. Our stack combines Java and Python, with foundations of Kafka, ArcticDB, MongoDB, and more. This is an opportunity to tackle complex distributed systems challenges at exceptional scale. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team. Role Responsibilities * Build and ship features on a high-throughput streaming platform processing billions of market data points daily * Tackle hard distributed systems problems at a scale few engineers encounter * Work closely with quant researchers and traders to turn complex requirements into elegant platform solutions * Drive platform reliability through rigorous incident response, root-cause analysis, and systemic fixes * Raise the engineering bar through thoughtful code review and mentoring of junior team members Key Competencies Required * 5+ years of professional experience in software engineering with Java or Python as your primary language * Proficient on Linux platforms and strong understanding of Git * Deep knowledge of one or more relevant database technologies such as Iceberg, PostgreSQL, or MongoDB * Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow * Strong problem-solving skills and attention to detail * Strong communication and collaboration abilities * Ability to work independently and gather requirements from stakeholders Advantageous * Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics * Familiarity with distributed systems and orchestration * Experience with performance optimization and large-scale data processing * Contributions to open-source projects * Experience with market data * Expertise in streaming or real-time data processing Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.