Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build data pipelines and develop predictive models for marketing optimisation.
- 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 marketing strategies using your data expertise.
- Qualifications: Expert-level Python and SQL skills, 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 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 London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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. Use GitHub to share your projects and demonstrate your Python and SQL expertise. This will make you stand out when we’re looking for candidates.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data solutions, as we love to see how you tackle real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team.
We think you need these skills to ace Data Engineer - Data Science & ML for Marketing Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expert-level Python and SQL skills. We want to see how your experience aligns with building data pipelines and developing predictive models, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team in Leeds. Share your passion for data science and marketing analytics, and let us know how you can contribute to our collaborative environment.
Showcase Your Projects: If you've worked with Docker or have experience in data warehousing, make sure to include specific examples in your application. We love seeing real-world applications of your skills, so don’t be shy about sharing your achievements!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
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. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Docker is Your Friend
Since Docker experience is a must-have, 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.
✨Understand Data Warehousing Concepts
Familiarise yourself with key data warehousing concepts and be ready to explain how they relate to marketing analytics. Think about how you can optimise data storage and retrieval for better marketing strategies, as this will resonate well with the agency's goals.
✨Show Your Collaborative Spirit
This role is in a collaborative environment, so be prepared to discuss how you work with others. Share examples of teamwork, especially in cross-functional settings, to highlight your ability to contribute positively to the team dynamic.
