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- Tasks: Build data pipelines and develop predictive models for marketing strategies.
- Company: Leading digital marketing agency in the UK with a collaborative culture.
- Benefits: Permanent contract, inclusive environment, and opportunities for professional growth.
- Why this job: Make a real impact on clients' marketing strategies using your data skills.
- Qualifications: Expert-level Python and SQL proficiency, Docker experience, and data warehousing knowledge.
- Other info: Office-based role in Leeds with a focus on teamwork and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading digital marketing agency in the UK is looking for an Analyst Expert. This role requires building data pipelines and developing predictive models to optimize marketing strategies for clients.
Ideal candidates will have:
- Expert-level Python and SQL proficiency
- Experience with Docker
- A strong understanding of data warehousing concepts
This position is office-based in Leeds and offers a permanent contract in a collaborative, inclusive environment.
Data Engineer - Data Science & ML for Marketing Analytics in City of London employer: Havas SA
Contact Detail:
Havas SA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Data Science & ML for Marketing Analytics in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and predictive models. This is your chance to demonstrate your Python and SQL expertise, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising coding challenges and discussing your past projects to highlight your experience with Docker and data warehousing.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer - Data Science & ML for Marketing Analytics in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expert-level Python and SQL skills in your application. We want to see how you've used these tools in real-world scenarios, especially in building data pipelines or predictive models.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to the job description. Mention your experience with Docker and data warehousing concepts, as these are key for us in this role.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity in Leeds!
How to prepare for a job interview at Havas SA
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built data pipelines or developed predictive models. Having concrete examples will show your expertise and how you can apply it in a marketing context.
✨Docker is Your Friend
Since Docker experience is a must, be prepared to talk about how you've used it in past projects. Maybe you’ve containerised applications or managed dependencies? Share those experiences to demonstrate your hands-on knowledge and problem-solving skills.
✨Understand Data Warehousing Concepts
Familiarise yourself with data warehousing principles, as they are crucial for this role. Be ready to explain how you’ve implemented these concepts in previous roles, and how they can optimise marketing strategies for clients. This will show that you understand the bigger picture.
✨Show Your Collaborative Spirit
This position is in a collaborative environment, so highlight your teamwork skills. Think of examples where you’ve worked effectively with others, especially in cross-functional teams. This will help convey that you’re not just a tech whiz but also a great team player.
