Senior Marketing Data Engineer

Senior Marketing Data Engineer

Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
Utility Warehouse

At a Glance

  • Tasks: Bridge engineering and business strategy to enhance marketing campaigns with data insights.
  • Company: Utility Warehouse, a forward-thinking company focused on customer marketing.
  • Benefits: Flexible working options, competitive salary, performance bonuses, and comprehensive benefits.
  • Other info: Join a supportive team with opportunities for professional growth.
  • Why this job: Make a real impact on marketing strategies while working with data in a dynamic environment.
  • Qualifications: Strong SQL skills, advanced data modelling experience, and familiarity with marketing tools.

The predicted salary is between 50000 - 65000 Β£ per year.

Utility Warehouse is seeking an experienced Senior Marketing Data Analyst to join their Customer Marketing team. You will bridge engineering and business strategy, ensuring the data model's coherence and informing effective marketing campaigns.

Successful candidates will have strong SQL proficiency, advanced data modelling experience, and familiarity with various marketing tools.

The role offers flexible working options and a comprehensive benefits package, including a competitive salary, performance bonuses, and a home-working policy.

Senior Marketing Data Engineer employer: Utility Warehouse

Utility Warehouse is an excellent employer that values innovation and collaboration within its Customer Marketing team. With a strong focus on employee growth, the company offers flexible working options, a competitive salary, and performance bonuses, creating a supportive work culture that encourages professional development. Located in a dynamic environment, Utility Warehouse provides unique opportunities for meaningful contributions to impactful marketing strategies.

Utility Warehouse

Contact Details:

Utility Warehouse Recruitment Team

We think you need these skills to ace Senior Marketing Data Engineer

SQL Proficiency
Data Modelling
Marketing Tools Familiarity
Data Analysis
Business Strategy Understanding
Coherence in Data Models
Effective Communication