- Company: Get A Job.ai
- Location: London (hybrid)
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential digital marketing organization seeking a Senior Data Engineer to join their growing Technology team in London on a hybrid basis. Our client connects global brands with high-intent consumers through data-driven performance marketing, and they need an experienced engineer to help design and build a robust, scalable, real-time data backbone.
In this role, you'll take a leading hand in designing, developing, and implementing data infrastructure that supports real-time processing and analytics. You'll work closely with teams across the business to ensure their data systems meet growing demands, leveraging modern technologies for efficient ingestion, storage, and analysis.
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 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 more junior engineers, helping to raise the bar 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
- Strong experience integrating Salesforce Marketing Cloud, CDP, and Single Customer View 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
- Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
- Calm and focused in a fast-moving environment—you can prioritize 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
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, a dedicated recruiter will review your profile and conduct an initial screening. If there's a strong match, we'll submit your application to our client and guide you through their interview process. Please do not contact the client directly—all communication should go through Get A Job.ai to ensure the best experience for everyone involved.
Benefits
Our client offers a comprehensive benefits package including private health care, hybrid working (3 days in office), travel insurance, competitive base salary, company bonus scheme, paid AI subscriptions, market-leading training programs, recognition and reward schemes, annual company conference, regular team events, and office perks.
Pay
Compensation details will be discussed during the screening process with our recruiting team.
Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices and equal opportunity employment. We welcome applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Senior Data Engineer
- Employer Get A Job.ai
- Location London (hybrid)
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 1, 2026
- Apply by October 1, 2026
- Overview Full job description on this page (600 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Develop and document database architectures.
- Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
- Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
- Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
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Occupation family: Data Engineer
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