At a Glance
- Tasks: Join our team to build and maintain a cutting-edge data platform using Python and Airflow.
- Company: WPP Media is a global leader in creative transformation, shaping the future of marketing and advertising.
- Benefits: Enjoy competitive pay, flexible work options, and a supportive culture focused on growth and well-being.
- Why this job: Be part of a dynamic team that drives innovation in AdTech and makes a real impact globally.
- Qualifications: Experience in data engineering with Python, cloud platforms, and a passion for technology is essential.
The predicted salary is between 43200 - 72000 £ per year.
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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.
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.
Senior Data Engineer(Python) employer: Choreograph
Contact Detail:
Choreograph Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer(Python)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Airflow, and AWS. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with current employees or alumni who work at WPP Media or in similar roles. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in AdTech and data engineering. Being able to discuss recent developments or innovations during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare to discuss your problem-solving approach and how you've contributed to team projects in the past. Highlighting your collaborative skills and ability to mentor others will resonate well with the company's values.
We think you need these skills to ace Senior Data Engineer(Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Python, Airflow, and cloud platforms like AWS and GCP. Use specific examples that demonstrate your skills in building data pipelines and working with large datasets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how it aligns with WPP Media's mission. Mention your experience with AdTech and how you can contribute to their data platform. Be sure to convey your understanding of their values and culture.
Showcase Relevant Projects: If you have worked on projects that involved data-oriented solutions or automation, include them in your application. Describe your role, the technologies used, and the impact of your work. This will help demonstrate your hands-on experience.
Highlight Soft Skills: WPP Media values collaboration and mentorship. Make sure to mention any experience you have in supporting junior engineers or working in cross-functional teams. Highlight your communication skills and ability to thrive in ambiguous situations.
How to prepare for a job interview at Choreograph
✨Showcase Your Python Skills
As a Senior Data Engineer, your proficiency in Python is crucial. Be prepared to discuss specific projects where you've used Python to build data pipelines or automate processes. Highlight any frameworks or libraries you've worked with, especially those relevant to data engineering.
✨Understand the Tech Stack
Familiarise yourself with the technologies mentioned in the job description, such as Airflow, Kafka, Snowflake, and cloud platforms like AWS and GCP. Be ready to explain how you've used these tools in past roles and how they can be applied to the company's data platform.
✨Demonstrate Problem-Solving Skills
Prepare to discuss challenges you've faced in previous data engineering roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your analytical thinking and ability to work under pressure.
✨Emphasise Team Collaboration
Since the role involves working closely with product and engineering teams, highlight your experience in collaborative environments. Share examples of how you've contributed to team projects, mentored junior engineers, or facilitated communication between different departments.