At a Glance
- Tasks: Build and maintain data pipelines for top global brands in a dynamic team environment.
- Company: WPP, a leader in media intelligence and data solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
- Other info: Collaborative environment with a focus on innovation and data quality.
- Why this job: Join a passionate team and tackle complex challenges in media analytics.
- Qualifications: Experience in data engineering, cloud platforms, and strong SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
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.
Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offer real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!
What will your day look like? As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:
- Identify, collect, and integrate data from various sources by building high‑quality data pipelines and data models for analytics and business intelligence (BI) purposes.
- Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
- Build monitoring procedures & tools to ensure solid ETL flows and data quality.
- Design processes and tools to correct ETL incidents.
- Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
- Consult our data analytics teams to ensure best practices on the technical use of data are followed.
- Design data architectures and collaborate in data migrations in cloud environments.
Who are you going to work with? You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.
What do you bring to the table? As a person, you have a team player mindset and an open‑minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non‑experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas. At the same time, you solve problems in an analytical and pragmatic manner. Moreover, you have:
- Experience in Spark, Python, Scala, or similar.
- Excellent SQL skills enabling large‑scale data transformation and analysis.
- A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
- Experience with cloud‑based data infrastructures (Ideally GCP, but AWS or Azure would also suffice).
- Expertise in managing databases, including performance tuning, backup, and recovery.
- Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation.
- Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
- Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
- Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security.
- Knowledge of Kubernetes would be an advantage.
Personal skills:
- Strong desire to contribute towards keeping data tidy and well‑organized.
- Ability to think critically, identify issues autonomously, and propose corrective actions.
- Build great relationships with your team and stakeholders.
WPP (VML MAP) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to 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.
Senior Data Engineer — Cloud Data Pipelines & Analytics employer: VML group
VML group is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal place for those looking to grow their careers in data science while contributing to impactful marketing solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — Cloud Data Pipelines & Analytics
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like VML group!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like VML group.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer — Cloud Data Pipelines & Analytics at VML group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer — Cloud Data Pipelines & Analytics
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at VML group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at VML group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at VML group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at VML group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
