Marketing Analytics Engineer

capital.com; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Private medical insurance

Flexible working mode

Volunteering days

Job summary

capital.com invites a Marketing Analytics Engineer to take ownership of the next phase of our marketing data infrastructure in Warsaw, building new data models, AI-powered agents, and end-to-end pipelines that drive smarter marketing decisions.

You will work with a talented team across markets, delivering autonomous reporting, scalable attribution, and proactive analytics tools while enjoying flexible work, private medical insurance, volunteering days, and global company events.

Qualifications

• Solid background in marketing data and attribution.
• Experience with SQL databases and Python.
• Experience with LLMs, prompt engineering, and agent design.
• Experience with APIs/integrations.
• Ability to work independently.

Responsibilities

• Develop marketing data models for use in AI and reporting.
• Improve attribution models and releases.
• Design, build and improve AI agents covering channel performance, budget allocation, media monitoring, user quality, and competitive intelligence.
• Create automation pipelines connecting datasources, AI models, and marketing tools.
• Develop Slack bot and internal tooling for AI analysis access.

Skills

SQL

Python

LLMs

APIs

Workflow automations

Tools

Airflow

dbt

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 datasources, AI models, and marketing tools
• Slack bot and internal tooling, natural language access to AIanalysis 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) andworkflow 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 withoutneeding 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