Marketing Analytics Engineer

capital.com capital.com Open · verified Aug 17, 2026

Hybrid Warsaw Mid-level Marketing Analytics

Mid-level Marketing Analytics role at capital.com. Warsaw.

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

You’ll build marketing data models for reporting and AI applications
You’ll improve attribution and deliver new model releases
You’ll design and refine agents for marketing analysis and monitoring
You’ll automate connections between data sources, AI models, and marketing tools
You’ll create Slack and internal tools for natural-language marketing analysis

What you bring

Strong experience with marketing data and attribution
Hands-on SQL database and Python experience
Practical LLM skills, including prompt design and building AI agents
Experience connecting systems through APIs and workflow automation tools such as n8n
Ability to work independently

Who this fits

You’ll suit this role if you can work independently across marketing data, attribution, SQL, Python, APIs, LLMs, and workflow automation. The position is based in Warsaw with a hybrid setup, plus the option to work from another location for up to thirty days each year. Airflow or dbt experience would be useful but is not required.

From the employer

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