Design, develop, and maintain scalable data pipelines and infrastructure that power real-time analytics and reporting.
Take ownership of our semantic layer using Cube.js, enabling reliable, self-serve analytics across the organisation.
Integrate and unify data from Salesforce, CDP, and SCV sources, ensuring clean, consistent data flow across marketing and customer data platforms.
Lead the development of transformation workflows using dbt, with a strong emphasis on testing, documentation, and data quality.
Architect and manage pipeline orchestration via Apache Airflow, ensuring reliability and observability at every stage.
Monitor and optimise pipeline performance for low-latency, high-throughput use cases.
Collaborate closely with Data Architect, marketing analysts, and business stakeholders to ensure data infrastructure directly supports business objectives.
Mentor and support more junior engineers, helping to raise the bar across the team.

Significant hands-on experience in data engineering, with a proven track record of leading and delivering complex data initiatives end to end.
Great understanding of semantic layers such as Cube.js you've built and maintained semantic layers and understand pre-aggregations, caching strategies, and multi-tenancy.
Strong experience integrating Salesforce Marketing Cloud, CDP, and Single Customer View (SCV) data you understand the nuances of customer and marketing data at scale.
Expert-level SQL and proven experience building robust transformation pipelines with dbt.
Solid experience orchestrating workflows with Apache Airflow in production environments.
Comfortable working across cloud platforms (AWS, GCP, or Azure) for data ingestion, storage, and processing.
Proficiency in Python or a similar language for pipeline development and automation.
Strong data modelling instincts you think carefully about how data is structured, named, and consumed downstream.
You're as comfortable whiteboarding architecture with engineers as you are explaining data concepts to non-technical stakeholders.
Calm and focused in a fast-moving environment you can prioritise well and bring others along with you.
Excellent written and verbal English communication skills.
You lead by example, care about the team's success, and leave things better than you found them.

Senior Data Engineer

Key skills