Senior Data Engineer

About This Opportunity

We are representing a confidential digital marketing organization in their search for a Senior Data Engineer based in London. Our client is scaling their Technology team and needs an experienced engineer to design and build a robust, scalable real-time data backbone that powers analytics and business intelligence across the organization.

This is a hybrid role requiring 3 days per week in their London office, offering the opportunity to lead critical data infrastructure initiatives in a fast-paced, data-driven environment.

Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure that power real-time analytics and reporting
• Take ownership of the semantic layer using Cube.js, enabling reliable, self-serve analytics across the organization
• Integrate and unify data from Salesforce, CDP, and Single Customer View (SCV) sources, ensuring clean, consistent data flow across marketing and customer data platforms
• Lead the development of transformation workflows using dbt, with 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 optimize pipeline performance for low-latency, high-throughput use cases
• Collaborate closely with Data Architects, marketing analysts, and business stakeholders to ensure data infrastructure directly supports business objectives
• Mentor and support junior engineers, helping to raise technical standards across the team

What We're Looking For

• Significant hands-on experience in data engineering, with a proven track record of leading and delivering complex data initiatives end to end
• Strong understanding of semantic layers such as Cube.js—you've built and maintained semantic layers and understand pre-aggregations, caching strategies, and multi-tenancy
• Extensive experience integrating Salesforce Marketing Cloud, CDP, and Single Customer View (SCV) 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 similar language for pipeline development and automation
• Strong data modeling instincts—you think carefully about how data is structured, named, and consumed downstream
• Ability to communicate technical concepts effectively to both technical and non-technical stakeholders
• Calm and focused in fast-moving environments with strong prioritization skills
• Excellent written and verbal English communication skills
• Leadership mindset—you lead by example, care about team success, and leave things better than you found them

How We Work With You

Our talent team at Get A Job.ai partners with leading organizations to connect them with exceptional candidates. When you apply through our platform, here's what happens:

• You submit your application directly on getajob.ai
• One of our experienced recruiters will review your profile and conduct an initial screening
• If there's a strong match, we'll submit your profile to our client for consideration
• We'll guide you through each stage of the process and provide feedback along the way

Important: Please apply only through Get A Job.ai. Do not attempt to contact the client directly, as this may disqualify your application.

Benefits

Our client offers a comprehensive benefits package including:

• Private health care coverage
• Hybrid working arrangement (3 days in London office)
• Travel insurance
• Competitive base salary
• Company bonus scheme
• Paid AI subscription (Claude, ChatGPT, or Gemini)
• Market-leading training programme
• Recognition and reward scheme
• Annual company conference
• Regular team social events
• Office perks including free coffee, drinks, and snacks

Equal Opportunity

Get A Job.ai is committed to fostering an inclusive recruitment process. We work with clients who value diversity and encourage applications from candidates of all backgrounds.