Senior Graph Engineer

The Role

We’re looking for a Senior Graph Engineer to accelerate our Open Intelligence initiative, specifically in the realm of graph data and knowledge representation, taking our data capabilities to the next level. You’ll play a central role in designing, building, and maintaining the graph models and data pipelines that power Open Intelligence.

This role is for someone who can not only deliver robust technical solutions but also possesses a rare ability to understand our complex marketing, adtech, and brand domains, and then translate this understanding into effective graph structures that deliver real business value. You will create systems that keep our global media ecosystem running, ensuring that interconnected data is reliable, scalable, and truly reflects the needs of the business.

This is a hands-on technical role for someone who’s already comfortable delivering reliable data solutions, with a particular passion for graph databases and their practical applications. It is also a mentoring role, which for the right person can include leading the more junior members of the team, fostering a graph-thinking mindset. Finally, it requires an individual who can communicate effortlessly with both stakeholders in the Product organization, explaining complex graph concepts, and engineers on other teams that use or supply the data.

The role is in our lovely Copenhagen offices at Nørrebro, where you will join a larger team of roughly 50 people working on Open Intelligence.

What You’ll Do

• Design and implement sophisticated graph schemas and data models that accurately represent the intricate relationships within our marketing and adtech ecosystem.
• Design and maintain temporal and event-driven graph models that capture how relationships evolve over time.
• Build exploratory data ingestion pipelines in the tool of your choice, and help build, manage, and maintain production grade data ingestion pipelines in Scala/Spark.
• Contribute to scalable (and possibly real-time) graph ingestion patterns, including incremental updates and streaming data integration.
• Communicate with our Product organization about the addition of new kinds of data or new sources of data to the graphs. Help translating business needs into evolutions of our graph models and manifesting those conversations as maintainable code.
• Communicate bugs and inefficiencies related to graph data processing and storage to our technical platform team.
• Help guide our regional teams in following your best practices for adding their local datasets to Open Intelligence, particularly in terms of graph data onboarding and consistency, and act as a global knowledge center.
• Collaborate closely with analysts and data scientists who leverage Open Intelligence, ensuring that graph data and connectors work as expected and provide the relational insights they need.
• Design and build strong graph data governance and quality frameworks to make sure graph data is accurate and consistent across markets and time.
• Stay curious, explore new tools, techniques, and technologies in the graph database space that can help us move faster and smarter.

What You’ll Bring

• Exceptional communication skills — you can translate complex technical graph concepts and their business value into language anyone can understand.
• 6+ years of experience in data engineering with a strong focus on graph databases and graph-based solutions.
• Solid experience with graphs (not just theoretical), including advanced graph modeling, querying (e.g., Cypher, GQL, Gremlin), and analysis techniques. We currently use Graphwise GraphDB and Neo4J, and expertise in either would be a plus.
• Experience optimizing graph performance at scale (i.e., query tuning, indexing strategies), and working with large and highly interconnected datasets.
• Proven ability to think in terms of entire systems and their interdependencies, applying a holistic view to data architecture and understanding when and how graph databases should be used to create real value.
• A deep understanding of adtech- and/or martech data and terminology, with a demonstrated ability to effectively model this complex domain as a graph.
• Experience with entity resolution and identity graph design (e.g., deduplication, canonicalization), and ability to model real-world entities from different data sources.
• Deep experience with data wrangling and transformation in a language such as SQL, Python, or Scala, specifically for preparing data for graph ingestion or querying graph results.
• Familiarity with modern data ecosystems — e.g. Databricks, Snowflake, BigQuery, Redshift – and cloud-based platforms like GCP or AWS, and how graph databases integrate within them.
• Experience working with CI/CD, version control, and testing best practices, particularly for graph data pipelines and models.
• A passion for data, technology, and the power of connected information.
• A proactive approach to solving problems and improving systems.
• Familiarity with RDF, triplestores, or semantic web technologies is a plus.
• Team lead experience or project management experience is a plus.

What We Offer

We believe great work starts with great people. At WPP Media, you’ll find:

• A supportive, inclusive culture built on trust, ambition and collaboration.
• Access to world class learning and development opportunities across the WPP network.
• Competitive salary, benefits and a focus on wellbeing.
• The chance to make a real impact shaping how data powers the next generation of media.