Senior Martech Data Engineer

VML MAP; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global marketing technology firm is seeking a Senior Data Engineer focused on martech solutions. You will build and maintain data pipelines, ensuring data quality for analytics and business intelligence. This role involves collaboration with various teams, utilizing advanced technologies for data transformation in a cloud environment. Ideal candidates will possess strong SQL skills, experience with Adobe Experience Platform, and familiarity with cloud infrastructures like GCP, AWS, or Azure.

Qualifications

• Strong consultancy mindset, resilience, curiosity, and eagerness to learn.
• Ability to communicate complex technical topics clearly.
• Experience in Agile project methodologies.

Responsibilities

• Identify and integrate data from various sources for analytics.
• Develop and optimize low-cost, maintainable data pipelines.
• Build monitoring tools to ensure ETL flow and data quality.
• Design data architectures for cloud environments.

Skills

SQL query skills

Spark

Python

Scala

Adobe Experience Platform (AEP)

Cloud data warehousing

Data quality management

Version control tools (GitHub)

Kubernetes

Tools

Google Dataflow

DBT

EMR

CI/CD pipelines

Airflow DAGs

Job description

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.

• 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 possessa 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.

• 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.

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