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
✨Tip Number 1
Network like a pro! Reach out to current employees at WPP or similar companies on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills in real-time! Consider participating in hackathons or data challenges related to cloud data pipelines. This not only sharpens your skills but also makes for great talking points in interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your SQL and coding skills, and be ready to discuss your past projects. We want to see how you’ve tackled complex data problems and what tools you used.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at WPP.
We think you need these skills to ace Senior Data Engineer — Cloud Data Pipelines & Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, cloud technologies, and any relevant projects that showcase your skills in Spark, Python, or SQL. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at WPP. Don’t forget to mention your collaborative spirit and problem-solving skills – we love team players!
Showcase Your Projects:If you've worked on any cool data projects, make sure to include them in your application. Whether it's building a data pipeline or optimising ETL processes, we want to see your hands-on experience. This will help us understand your practical skills better!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team at WPP!
How to prepare for a job interview at VML group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Spark, Python, and SQL. Brush up on your cloud data warehousing knowledge, especially if you have experience with GCP, AWS, or Azure. Being able to discuss specific projects where you've used these tools will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you identified issues in data quality or optimised ETL processes. This will demonstrate your analytical mindset and ability to adapt to changing situations, which is crucial for a Senior Data Engineer.
✨Communicate Clearly
Since you'll be collaborating with various teams, practice explaining technical concepts in simple terms. Be ready to discuss how you’ve communicated ideas to non-experts in previous roles. This will highlight your team player mindset and your ability to build great relationships with stakeholders.
✨Understand Data Governance
Familiarise yourself with data governance principles and best practices. Be prepared to discuss how you ensure data accuracy, consistency, and security in your work. This knowledge will show that you take data management seriously and are committed to maintaining high standards.
