Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Engineer(Python)

GroupM
London
1 week ago
Create job alert

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

About Choreograph: A Leading WPP Media Brand

Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

Role Summary and Impact

Our team consists of 100+ engineers, designers, data, and product people, working in small inter-disciplinary teams closely with creative agencies, media agencies, and with our customers, to develop and scale our DCO platform, a leading digital advertising optimization suite that delivers amazing outcomes for brands and audiences.

As a Data Engineer you will work with our Product and Engineering team, as well as other feature development teams, to build, deliver and operate our data platform. The role is a hands on data engineering role, analysing and sourcing data for our teams to use, building and maintaining pipelines and automations to wrangle, cleanse, secure, govern and provide that data to teams, building automations, owning tests, supporting junior engineers, and contributing to the wider team principles and practices, and the tools we use. The role has no line management responsibilities.

Our data platform is built with Python and Airflow, deployed using CI/CD, heavily exploits automations, and runs on AWS, GCP, k8s, Snowflake and more. Our efforts in data engineering support our adserving platform which serves 9 petabytes and 77 billion objects annually, which amounts to 20 billion ad impressions across the globe. You’ll play a leading role in significantly scaling this further.

Responsibilities:

  • Work with product, product engineering, data engineering, and data science peers to build and support our AdTech platform.
  • Architect and build data-oriented solutions that are simple, scalable, reliable, secure, maintainable, and make a measurable impact.
  • Provide our teams with the data they need to build, sell, and manage our platform. Develop, deliver and maintain batch and real-time data pipelines, analysis services, workflows and orchestrations, and create and manage the platforms and data infrastructure that hold, secure, cleanse and validate, govern, and manage our data.
  • Manage our data platform, incorporating services using Airflow/Composer, BigQuery, Snowflake, Kafka, and Redis running on Kubernetes, GCP, and AWS.
  • Support our Data Science teams with access to data, performing code reviews, aiding model evaluation and testing, deploying models, and supporting their execution.
  • Employ modern pragmatic engineering principles, practices, and tooling, including TDD/BDD/ATDD, XP, QA Engineering, Trunk Based Development, Continuous Delivery, automation, DevSecOps, and Site Reliability Engineering.
  • Contribute to driving ongoing improvements to our engineering principles, practices, and tooling. Provide support & mentorship to junior engineers.
  • Develop and maintain a contemporary understanding of AdTech developments, industry standards, partner and competitor platform developments, and commercial models, from an engineering perspective.

Skills and Experience

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 Growthand Development to Mobilize the Enterprise.
  • Proven experience designing, building, and operating data-oriented solutions in a high volume, transactional, global, industry. Experience with advertising technology (AdTech) highly desired.
  • Proven experience and a passion for developing and operating data-oriented solutions using Python, Airflow/Composer, Kafka, Snowflake, BigQuery, and a mix of data platforms such as Spark, AWS Athena, Postgres and Redis. Excellent SQL development, query optimization and data pipeline development skills required. Strong experience using public cloud platforms including AWS and GCP is required; experience with docker and Kubernetes strongly preferred. Experience in the use of multiple programming languages is highly desirable. Experience using Functional programming is ideal.
  • Proven experience in developing data structures and algorithms. Experience supporting ML/AI highly desirable.
  • Proven experience contributing to product strategy development with Product Management teams. Experience in SaaS product engineering and operations highly desirable.
  • Proven experience in data engineering and testing practices and implementing these in teams, with a willingness to share, partner and coach engineers, product people, and operations through pragmatic and effective development and delivery practices.
  • Proven experience shaping and evolving the principles, practices, and tooling supporting agile, testing/QA, DevSecOps, automation and SRE in a data-focussed team. Experience in Trunk Based Development, XP, & implementing CI/CD as used in data teams is highly desirable.
  • A focus on continuous learning and improving, both technically and professionally, in your industry, for you and your teams.
  • Demonstrated resilience, with experience working in ambiguous situations.
  • Strong English, excellent influencing and communication skills, and excellent documentation 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 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.

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.

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy)for more information on how we process the information you provide.

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

#LI-Promoted


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.