Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer(Python)

WPP Media
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Join to apply for the Senior Data Engineer(Python) role at WPP Media

Join to apply for the Senior Data Engineer(Python) role at WPP Media

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.

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 Growth and 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.

requisitionid:20695

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesAdvertising Services, Marketing Services, and Technology, Information and Internet

Referrals increase your chances of interviewing at WPP Media by 2x

Sign in to set job alerts for “Senior Data Engineer” roles.

London, England, United Kingdom 6 days ago

Senior Software Engineer I - Generative AI Platform - Python

London, England, United Kingdom 1 day ago

London, England, United Kingdom 6 days ago

Data Analyst Senior | Clearing, Post-Trade, Settlements| £110,000 + Bonus + Benefits | Hybrid working

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Senior Data Governance Analyst | Up to £80k + Bonus & Benefits | 1 / 2 days in office

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 days ago

Data Architect - Data Modelling - Dimensional - Relational - Data Vault

London, England, United Kingdom 1 week ago

Senior AI/ML Engineer (Data Science & Software Focus)

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

Data Architect - 18 month FTC London/Hybrid - Up to £74k

London, England, United Kingdom 1 week ago

Senior Data Analyst - Treasury Money Movement

London, England, United Kingdom 1 week ago

London, England, United Kingdom 4 weeks ago

Contract Data Architect (Modelling) - FS - London (Hybrid) - £600pd Outside IR35

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

Principal Solution Engineer – AI and Data Use Governance

London, England, United Kingdom 1 week ago

Senior Lead Software Engineer - Team Lead - Accelerator Business

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

Redhill, England, United Kingdom 2 weeks ago

Isleworth, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

Senior Data Analyst - routing and optimisation

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.