At a Glance
- Tasks: Build and optimise data pipelines for top global brands in digital marketing.
- Company: Join VML MAP, a leader in hyper-personalisation and data-driven marketing solutions.
- Benefits: Competitive salary, diverse team culture, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights for major brands.
- Qualifications: Experience in data engineering, strong SQL skills, and knowledge of cloud platforms.
- Other info: Collaborate with a dynamic team of experts from various fields.
The predicted salary is between 36000 - 60000 Β£ per year.
Are you a Senior Data Engineer (martech focused) 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 weβre looking for!
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, especially regarding audience creation and reporting needs.
- 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.
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.
As a person, you possess a strong consultancy mindset, demonstrating resilience, curiosity, and an eager-to-learn attitude. You combine this with strong business acumen, allowing you to understand and anticipate client needs effectively. You are a team player with an open-minded approach, able to communicate complex ideas and technical topics honestly and clearly β even to non-experts β 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, solving problems in an analytical and pragmatic manner. You have also worked effectively within Agile project methodologies.
Moreover, it is essential for this role that you have:
- In-depth knowledge of the Adobe Experience Platform (AEP), including familiarity with schemas, datasets, and practical experience in audience creation.
- Basic knowledge of Adobe Customer Journey Analytics (CJA) and Adobe Journey Optimizer (AJO).
- Experience in data engineering, big data, business intelligence, or data science.
- Very strong SQL query skills, this role is primarily focused on large-scale data querying and transformation.
- Experience in Spark, Python, Scala.
- A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, 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.
- Ability to generate a few end reports based on data analysis and stakeholder requirements.
- Understanding of version control tools like GitHub for managing changes related to data models and transformations.
- Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security.
- Knowledge of Kubernetes would be an advantage.
VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper-personalization at scale, marketing automation, and CRM. With the brain of a consultancy, the heart of an agency, and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.
We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.
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 Martech Data Engineer in London employer: Wunderman
Contact Detail:
Wunderman Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Martech Data Engineer in London
β¨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. The more people you know, the better your chances of landing that Senior Martech Data Engineer role.
β¨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data engineering and analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies alike.
β¨Tip Number 4
Don't forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Martech Data Engineer in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Senior Martech Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant tools like SQL or Spark. We want to see how your skills align with what weβre looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about data engineering and how your background makes you a perfect fit for our team. Donβt forget to mention your consultancy mindset and teamwork skills!
Showcase Your Projects: If youβve worked on any cool projects related to data engineering or martech, make sure to include them! We love seeing real examples of your work, especially if they demonstrate your problem-solving skills and technical expertise.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. Itβs super easy, and youβll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Wunderman
β¨Know Your Tech Stack
Make sure youβre well-versed in the technologies mentioned in the job description, especially Adobe Experience Platform and SQL. Brush up on your knowledge of data pipelines and cloud environments like GCP, AWS, or Azure. Being able to discuss these confidently will show that youβre ready to hit the ground running.
β¨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific instances where you built data models or optimised ETL processes. This will demonstrate your analytical mindset and ability to adapt to changing situations, which is crucial for this role.
β¨Communicate Clearly
Since you'll be working with various teams, practice explaining technical concepts in simple terms. Be ready to discuss how you can bridge the gap between technical and non-technical stakeholders. This will highlight your consultancy mindset and collaborative spirit.
β¨Ask Insightful Questions
Prepare thoughtful questions about the companyβs data strategies and how they approach audience creation. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals and values.