Marketing Analytics Engineer
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At a glance
Job overview
capital.com is hiring a Marketing Analytics Engineer. Capital.com is seeking a Marketing Analytics Engineer to extend its data infrastructure, building new marketing data models, AI agents, and automated pipelines that enhance decision‑making. The role involves designing attribution models, integrating APIs, and creating internal tools such as Slack bots, while working independently to deliver AI‑powered insights for the global marketing team.
Key focus areas include Develop marketing data models for AI and reporting., Improve attribution and release new attribution models., and Design, build, and enhance AI agents for channel performance, budget allocation, media monitoring, user quality, and competitive intelligence..
Important skills include Marketing Data Models, Attribution, AI Agent Development, Automation Pipelines, Slack Bot Development, and Internal Tooling. Preferred (not required): Apache Airflow and dbt.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
We are looking for a Marketing Analytics Engineer to take ownership of the next phase of this infrastructure. The foundation is in place. Your job is to extend it building new data models and the agents, wiring autonomous pipelines, and delivering AI-powered systems that directly improve how marketing decisions are made.
Responsibilities
- Development of marketing data models for use in AI and reporting
- Improve attribution and new attribution model releases
- AI agent development design, build, and improve specialist AI agents covering channel performance, budget allocation, media monitoring, user quality, and competitive intelligence
- Automation pipelines, end-to-end automations connecting data sources, AI models, and marketing tools
- Slack bot and internal tooling, natural language access to AI analysis for the wider marketing team
Requirements
- Solid background in marketing data and attribution
- Experience SQL databases and Python
- Experience with LLMs (prompt engineering, agent design) and workflow automations (n8n or similar tool)
- Experience with APIs/integrations
- Ability to work independently
Nice to have skills:
- Previous experience with Airflow and/or dbt
What success looks like in the first 6 months
- Multiple new agents or automations are live and actively used by the marketing team
- Key reporting and alerting workflows run autonomously without manual triggering
- Marketers across the team can access AI-powered analysis without needing technical access
- You have measurably reduced manual reporting and decision-support time for the team
What you will get in return
- Competitive compensation
- A generous paid leave policy, supporting a healthy work–life balance
- Two additional paid days per year dedicated to volunteering and giving back
- Private medical insurance for your peace of mind
- An additional flexible benefits budget, allowing you to tailor benefits to your needs
- Flexible working mode
- The opportunity to work from almost anywhere in the world for up to 30 days per year
- Annual company-wide events held in locations around the globe
- In-office massages to support wellbeing
- A brand-new, vibrant office environment
You've read the whole posting — now see how you match it.