Data Engineer (Marketing)
Data Engineer (Marketing)

Data Engineer (Marketing)

Full-Time 54000 - 84000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and manage data pipelines to support marketing strategies and campaigns.
  • Company: Leading advertising and marketing services firm with a focus on innovation.
  • Benefits: Attractive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Join a dynamic team and shape the future of marketing through data-driven insights.
  • Qualifications: Experience in data engineering and a passion for marketing analytics.
  • Other info: Collaborative environment with a strong emphasis on creativity and career advancement.

The predicted salary is between 54000 - 84000 Β£ per year.

Location: 3 days a week

Seniority level: Director

Employment type: Full-time

Job function: Advertising and Marketing

Industries: Advertising Services and Marketing Services

Data Engineer (Marketing) employer: ThePlaceToBe

As a Data Engineer in Marketing, you will thrive in a dynamic and innovative environment that champions creativity and collaboration. Our company offers competitive benefits, a supportive work culture that prioritises employee growth, and unique opportunities to make a significant impact in the advertising and marketing industry. With a flexible work schedule and a commitment to professional development, we ensure that our team members are not only valued but also empowered to excel in their careers.
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Contact Detail:

ThePlaceToBe Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Engineer (Marketing)

✨Tip Number 1

Network like a pro! Reach out to folks in the advertising and marketing industry, especially those who are already working as Data Engineers. A friendly chat can open doors and give us insights that job descriptions just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data engineering projects, especially those related to marketing. This will help us stand out and demonstrate our expertise in a practical way.

✨Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and marketing strategies. We want to be ready to impress with our knowledge and confidence when we get that call!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won't find anywhere else.

We think you need these skills to ace Data Engineer (Marketing)

Data Engineering
Marketing Analytics
ETL Processes
Data Warehousing
SQL
Python
Data Modelling
Big Data Technologies
Cloud Computing
Data Visualisation
Collaboration Skills
Problem-Solving Skills
Communication Skills
Project Management

Some tips for your application 🫑

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role in Marketing. Highlight relevant experience and skills that match the job description, so we can see how you fit into our team.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering in marketing and how your background makes you the perfect fit for this role at StudySmarter.

Showcase Your Projects: If you've worked on any cool projects related to data engineering or marketing, don’t forget to mention them! We love seeing real examples of your work and how you’ve tackled challenges in the past.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!

How to prepare for a job interview at ThePlaceToBe

✨Know Your Data Tools

Make sure you’re well-versed in the data tools and technologies relevant to the role. Brush up on your knowledge of SQL, Python, and any marketing analytics platforms they might use. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.

✨Understand Marketing Metrics

Familiarise yourself with key marketing metrics and how data engineering supports them. Be prepared to discuss how you can leverage data to improve campaign performance or customer insights. This shows that you understand the bigger picture and can contribute strategically.

✨Prepare for Scenario Questions

Expect scenario-based questions where you’ll need to demonstrate your problem-solving skills. Think about past projects where you faced challenges and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.

✨Show Your Collaborative Spirit

As a Data Engineer in Marketing, collaboration is key. Be ready to talk about how you’ve worked with cross-functional teams in the past. Highlight your communication skills and how you can bridge the gap between technical and non-technical stakeholders.

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