Marketing Data Engineer Bucharest

Marketing Data Engineer
Bucureşti
Bucharest, Bucharest, Romania

This text can be a short description about your company. A so called "boilerplate", describing your business, services or products that you offer and your target group.

This text should be informative rather than selling.

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

In this role,  you will play a key role in improving how we connect with millions of customers — online and offline. You will drive
- powered marketing strategies, optimize attribution models and enable teams to make smarter decisions through predictive analytics and
- service tools.

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
  - source technologies.
• Build and maintain
  - service BI solutions tailored to marketing teams, enabling
  Data-driven
  - 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 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 (Big
  Query 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 Tensor
  Flow, Py
  Torch, 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
  - 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.