Senior Data Engineer

WPP

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: 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.    What you'll be doing: * Pipeline Design & Delivery: Lead the design and implementation of core data pipelines that ingest, transform, and model people data from multiple HR and workforce systems — including Workday — into a governed, enterprise-grade data model built on Databricks and Delta Lake.  * Data Modelling & Standards: Own and evolve canonical people data structures across the global people data platform. Define and enforce schemas, ingestion patterns, and transformation logic that support scalability, consistency, and downstream reporting, analytics, and regulatory use cases.  * Technical Decision Authority: Make day-to-day architectural and design decisions independently — on schema design, data standardisation approaches, and pipeline patterns — reducing escalation to senior leadership and enabling faster, higher-confidence delivery.  * Regulatory & Compliance Enablement: Ensure pipelines and data models are designed and maintained to support statutory requirements, including the EU Pay Transparency Directive, UK Gender Pay Gap reporting, and ESG/CSRD workforce data obligations.  * Platform Alignment: Partner closely with enterprise data and business platforms teams to ensure the people data architecture aligns with WPP's broader data platform standards, governance frameworks, and integration patterns.  * Technical Leadership: Provide senior technical guidance, code review, and architectural oversight to other data engineers within the team — raising standards, improving consistency, and building engineering capability across the function.  * Governance & Quality: Embed data quality checks, validation frameworks, and governance controls into pipeline and model design — ensuring the platform remains accurate, audit-ready, and defensible for executive and regulatory reporting.    What you'll need: * Hands-on data engineering experience, including design and delivery of complex pipelines and data models in a cloud environment  * Strong proficiency in SQL; solid Python and/or PySpark capability * Demonstrable experience with Databricks, Apache Spark, and Delta Lake architecture * Proven ability to design and own enterprise-grade canonical data models across multiple upstream source systems * Experience integrating data from APIs and diverse upstream platforms at scale * Azure cloud platform experience * Strong data governance and quality mindset — experience building validation, reconciliation, and audit frameworks into pipeline design * Able to make independent technical design decisions and operate with a high degree of autonomy in a lean, fast-moving team * Experience providing technical guidance or oversight to other engineers * Familiarity with HR, people, or workforce data systems (e.g., Workday, BambooHR, HiBob, Greenhouse) * Experience with regulatory or compliance-driven data requirements (e.g., EU Pay Transparency, GDPR, ESG/CSRD) * Experience designing multi-layer data architectures (raw → enriched → curated) for downstream analytics and reporting consumption * Understanding of data product thinking — building governed data assets for use by analytics, reporting, and executive audiences * Experience working in a federated, globally distributed organisation with complex source system landscapes    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.

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.   The Role  You will lead a team of data scientists developing the next generation of Genius Sports’ market leading sports models. These models act as the sporting brain behind many of Genius’s customer facing products, calculating the probabilities of outcomes across a wide range of sports.   How will you work?  Lead a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.     We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team’s domain.  If you are looking to tackle hard problems, collaborate with high calibre engineers and deliver smart solutions with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you.    As a Senior Data Science Manager, you will oversee the implementation of predictive models across many sports. You will lead your team in the development of algorithms to calculate the probabilities of sporting outcomes.   What skills do you have?  * A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject  * Strong leadership skills with a proven track record of successful delivery of high impact solutions to complex data science problems  * Mentoring and Staff Development  * Expert knowledge of probability and statistics  * Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems.  * Proficiency with Python or other scripting/programming languages (R, Matlab, etc)  * Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You lead conversations that drive alignment and uncover edge cases others might miss.  * Familiarity with sports rules and strategies (football, American football, basketball, tennis, ice hockey, baseball, etc.)    It is advantageous for you to have knowledge of the following:    * Sports betting  * Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (Gitlab, AWS, Docker) and retraining  * Data engineering  * Rust, C++, other programming languages  * Real-time systems and/or high-performance computing  * Software System Design  * Software Development Lifecycle (SDLC)  What we expect from our co-workers    * Curiosity and strong desire to learn and improve  * Social skills, being able to act as a facilitator, can balance enabling others with individual contributions.  * Time management and asynchronous communication skills relevant for a geographically diverse engineering organization  * Enthusiasm and ability to work collaboratively within a team  * Excellent spoken and written English  * Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement  We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.  As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change   We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.   Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.   The Role  You will join a team of data scientists developing the next generation of Genius Sports’ market leading sports models. These models act as the sporting brain behind many of Genius’s customer facing products, calculating the probabilities of outcomes across a wide range of sports.   How will you work?  Join a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.     We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team’s domain.  If you are looking to tackle hard problems, collaborate with high calibre engineers and deliver smart solutions with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you.    As a Senior Data Scientist, you and your team will play a major role in developing and implementing predictive models across all major sporting codes. You will prototype, implement, evaluate and optimize algorithms to calculate the probabilities of sporting outcomes.  What skills do you have?  * A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject  * Expert understanding of probability and statistics fundamentals  * Proficiency with Python or other scripting/programming languages (R, Matlab, etc)  * Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems.  * Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You lead conversations that drive alignment and uncover edge cases others might miss.  * Mentoring of other team members, helping them develop their skills and deliver effectively    It is advantageous for you to have knowledge of the following:    * Sports rules and strategies  * Sports betting  * Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (Gitlab, AWS, Docker) and retraining  * Data engineering  * Rust, C++, other programming languages  * Real-time systems and/or high-performance computing  What we expect from our co-workers    * Curiosity and strong desire to learn and improve  * Social skills, being able to act as a facilitator, can balance enabling others with individual contributions.  * Time management and asynchronous communication skills relevant for a geographically diverse engineering organization  * Enthusiasm and ability to work collaboratively within a team  * Excellent spoken and written English  * Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement  We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.  As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change   We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.   Let us know when you apply if you need any assistance during the recruiting process due to a disability.