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Senior Data Engineer (Commercial Analytics)

  • Company: Get A Job.ai
  • Location: London
  • Salary: Pay not listed
  • Full Time
  • London

Website Get A Job.ai

Represented by Get A Job.ai

About This Opportunity

We are representing a confidential fintech organisation seeking a Senior Data Engineer to join their Growth Intelligence team in London. This is an exciting opportunity to design and maintain integration architecture that connects commercial and GTM data layers, supporting RevOps, Customer Success, and AI products built on trusted data foundations.

In this role, you'll work on pipelines linking CRM, billing, and customer success tooling to a central BigQuery warehouse. If you're passionate about untangling complex, multi-system architecture and building data foundations that the entire business can rely on, we'd love to hear from you.

Responsibilities

  • Design, build, and maintain data pipelines between commercial tools and the BigQuery data warehouse
  • Own reverse ETL flows: enrich or define data in the warehouse and push it back into operational tools, maintaining consistent definitions across systems
  • Implement and maintain data contracts with clear ownership, SLAs, and schema agreements between data producers and consumers
  • Partner with RevOps and business architecture teams to understand operational data requirements and translate them into reliable, governed pipelines
  • Build monitoring and alerting systems that catch data quality issues before they surface in dashboards or operational reports
  • Simplify integration architecture by centralising data flows through the warehouse, reducing point-to-point tool integrations
  • Collaborate with Analytics Engineers to ensure pipeline outputs are structured and documented for downstream modelling
  • Engage upstream with tool owners and engineering teams to move data quality and schema discipline closer to the source

What We're Looking For

  • Proven experience building and maintaining production data pipelines in a commercial or GTM data environment
  • Strong understanding of CRM data models, APIs, and field management (experience with major CRM platforms required)
  • Hands-on experience with reverse ETL patterns: pushing warehouse-enriched or warehouse-defined data back into operational tools
  • Extensive BigQuery experience
  • Experience implementing data contracts in a production environment
  • Python proficiency for pipeline development, transformation logic, and tooling
  • Git-based workflows and CI/CD experience for data engineering code
  • Experience operating within a SaaS organisation, collaborating closely with GTM teams
  • Equal enthusiasm for deep technical work and collaborating with business stakeholders
  • Ability to comfortably work with a wide variety of data sources in a complex multi-system environment
  • Strong problem-solving skills and ability to drive alignment between GTM and commercial stakeholders

This role may not be suitable if you: prefer platform work one step removed from the business, have never collaborated with senior stakeholders on GTM/commercial analytics, or need a very defined roadmap to operate efficiently. This position requires adaptability to rapid changes and participation in roadmap definition discussions.

Location: London (remote, hybrid, or in-person arrangements available). You must be physically based in the UK with valid right to work. Visa sponsorship is not available.

How We Work With You

Our talent team at Get A Job.ai partners with leading organisations to connect exceptional candidates with outstanding opportunities. Here's our process:

  • Submit your application through the Get A Job.ai platform
  • Our recruiters will review your background and conduct an initial screening
  • Qualified candidates are presented to our client for consideration
  • If selected, you'll enter the client's interview process, which includes technical assessments and meetings with the hiring team
  • We support you throughout the entire process and handle all coordination

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

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to creating a diverse and inclusive recruitment process. We encourage applications from candidates of all backgrounds and experiences. If you require any accessibility accommodations during the application or interview process, please let our team know.

Apply with Get A Job.ai

A recruiter will review your profile and submit you to the client. Do not contact the client directly.

More options

Apply with Get A Job.ai

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 (Commercial Analytics)
  • Employer Get A Job.ai
  • Location London
  • Type Full Time
  • Pay (from listing) Pay not listed
  • Posted September 17, 2026
  • Apply by October 17, 2026
  • Overview Full job description on this page (608 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.

Source: O*NET

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Senior Data Engineer (Commercial Analytics) Get A Job.ai · London