For our business partner, a globally respected omnichannel company renowned for innovation and excellence, we’re seeking an ambitious Marketing Data Engineer to empower their marketing department with actionable insights.

In this role, you will play a crucial part in enhancing our connection with millions of customers, both online and offline. You’ll drive data-powered marketing strategies, refine attribution models, and enable smarter decision-making through predictive analytics and self-service tools.

If you're passionate about harnessing data to shape impactful marketing experiences, we’d love to hear from you. Apply today and become part of something exceptional.

Your Responsibilities

• Analyze customer, marketing, and onsite data using SQL and Python to enhance
  Marketing campaign performance and customer engagement.
• Develop, expand, and optimize Data Science use cases such as attribution modeling, bidding optimization, and campaign performance forecasting using open-source technologies.
• Build and maintain self-service BI solutions tailored to marketing teams, enabling
  Data-driven decision-making.
• Collaborate closely with marketing, CRM, and product teams to bridge data science and business needs.
• Support marketing automation and personalization initiatives with advanced models and actionable insights.
  
  

Must-Have Experience:

• At least 2+ years of experience in a Data Engineer role or similar.
• Solid experience in forecasting models and predictive analytics using machine learning and statistical methods.
• Strong understanding of onsite tracking (e.g., Google Analytics, GA4) and online
  marketing metrics.
• Hands-on experience with Python for statistical modeling and automation.
• Advanced knowledge of SQL (BigQuery or Redshift preferred).
• Familiarity with CRM systems and marketing automation tools.
• Strong grasp of digital marketing strategies and KPIs.
  
  

Technical Skills:

• Proficiency in Python and SQL programming.
• Experience with data transformation tools (e.g., dbt).
• Familiarity with virtualization (e.g., Docker).
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit- learn.
  
  

Marketing & Analytics Knowledge:

• Expertise in attribution modeling, bidding strategies, and testing methodologies.
• Understanding of key marketing platforms (Paid Search, Social Media, Display,
  etc.).
• Ability to translate complex data into meaningful recommendations for marketing.
  
  

Soft Skills:

• Agile, proactive, and hands-on mindset.
• Strong communication skills, both within the team and across departments.
• Passion for working with people and exploring new technologies.
• Confident in spoken and written English.