An experienced SQL and Python engineer driving Martech and analytics innovation. 

As a Marketing Data Engineer at CMC Markets, you will play a central role in building and optimizing our marketing and analytics data ecosystem. You’ll design high-performance data pipelines, architect integrations between marketing platforms, and enable advanced analytics across attribution, audience segmentation, and Marketing Mix Modelling (MMM).   

Based in our Warsaw office, you’ll collaborate closely with global marketing, data, and product teams to transform data into a strategic asset that powers smarter, faster, and more precise decision-making.  

Your mission: Engineer scalable, reliable data systems that drive marketing intelligence, attribution, and automation across the CMC Markets MarTech stack.

Key Responsibilities 

• Architect and build scalable data systems 
  Design and implement data pipelines and backend services connecting marketing, analytics, and CRM platforms using SQL, BigQuery and Python technologies. 

• Develop and optimize Martech integrations 
  Build and maintain APIs and ETL processes that unify data across key platforms including BigQuery, Braze, mParticle (CDP), and major ad networks (Google, Meta, LinkedIn, TikTok). 

• Advance marketing analytics and attribution modeling 
  Create robust data models and pipelines that enable multi-touch attribution, customer journey analysis, and campaign ROI measurement. 

• Support Marketing Mix Modeling (MMM) 
  Develop and maintain structured datasets and data ingestion processes to support econometric modeling and media effectiveness analysis. 

• Automate and orchestrate workflows 
  Implement data automation solutions to streamline audience activation, tagging, and campaign reporting, ensuring consistency and scalability across markets. 

• Collaborate cross-functionally 
  Partner with marketing, data science, and engineering teams to ensure Martech data infrastructure aligns with business goals and supports experimentation, personalization, and insights delivery. 

• Ensure data quality and governance 
  Monitor, validate, and document data sources, ensuring accuracy, reliability, and compliance with internal data standards. 

Requirements 

• Knowledge of Google Analytics, Google Tag Manager or similar tools for consistent web and mobile analytics 

• Proven experience in data engineering, backend development, or Martech data architecture roles.  

• Advanced proficiency in SQL and Python, including data modeling, API integration, and workflow automation.  

• Strong understanding of marketing data ecosystems, including analytics, attribution, and customer data platforms (preferably Braze).  

• Familiarity with SQL, BigQuery or similar large-scale data warehouses.  

• Experience building or maintaining data pipelines for analytics, measurement, or campaign orchestration.  

• Excellent problem-solving and debugging skills, with attention to performance and scalability.  

• Fluent in English (C1+)