Senior Martech Data Engineer

Senior Martech Data Engineer

Full-Time 36000 - 60000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Build and maintain data pipelines for top global brands in digital marketing.
  • Company: Join VML MAP, a leader in personalised customer experiences and innovative data solutions.
  • Benefits: Competitive salary, diverse team culture, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career development.
  • Why this job: Make a real impact on marketing strategies using cutting-edge technology and analytics.
  • Qualifications: Strong SQL skills, experience with cloud platforms, and knowledge of Adobe tools.

The predicted salary is between 36000 - 60000 £ per year.

Are you a Senior Data Engineer (martech focused) with a passion to build, support & maintain digital marketing solutions that offers 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, 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.

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 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 – even 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, 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).
  • 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.

A leader in personalized customer experiences, 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. A global network, 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 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.

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Contact Details:

VML group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Martech Data Engineer

✨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 Martech Data Engineer 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 Martech Data Engineer

Data Engineering
Digital Marketing Solutions
Cloud Platforms
Data Pipeline Development
ETL Processes
SQL Query Skills
Spark

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.