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- Tasks: Build data pipelines and develop predictive models for insightful analytics.
- Company: Performance-focused digital marketing agency in Leeds with a collaborative team.
- Benefits: Permanent, full-time role in a vibrant and inclusive work environment.
- Why this job: Join a small team to deliver high-quality projects and make a real impact.
- Qualifications: Strong expertise in Python and SQL, experience with Docker and Azure DevOps.
- Other info: Great opportunity for career growth in a dynamic industry.
The predicted salary is between 30000 - 42000 £ per year.
A performance-focused digital marketing agency in Leeds seeks a Data Engineer to build data pipelines, develop predictive models, and provide insightful analytics. You will join a small, collaborative team focused on delivering high-quality projects for clients.
Ideal candidates should have:
- Strong expertise in Python and SQL
- Experience with Docker and Azure DevOps
- The ability to translate business requirements into technical solutions
This is a permanent, full-time position in a vibrant and inclusive work environment.
Data Engineer: ML & Cloud Data Pipelines in Leeds employer: Havas Market France
Contact Detail:
Havas Market France Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: ML & Cloud Data Pipelines in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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, predictive models, or any relevant projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've tackled real-world problems. Practice common interview questions and think about how you can translate business needs into technical solutions.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from candidates who are excited about joining our vibrant team. It shows initiative and helps us get to know you better right from the start.
We think you need these skills to ace Data Engineer: ML & Cloud Data Pipelines in Leeds
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and SQL right from the get-go. We want to see how your skills can help us build those data pipelines and develop predictive models!
Tailor Your Application: Don’t just send a generic application! Take a moment to align your experience with the job description. Let us know how you can translate business requirements into technical solutions that will benefit our clients.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for data engineering shines through without any fluff!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Havas Market France
✨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 used these technologies, and think about how you can explain complex concepts in a way that’s easy to understand.
✨Showcase Your Pipeline Experience
Prepare examples of data pipelines you've built or worked on. Highlight your experience with Docker and Azure DevOps, and be ready to discuss how you’ve tackled challenges in previous projects. This will show your practical knowledge and problem-solving skills.
✨Understand the Business Side
Since the role involves translating business requirements into technical solutions, think about how you can demonstrate your understanding of business needs. Prepare to discuss how your technical work has positively impacted clients or projects in the past.
✨Be Ready for Collaboration Questions
As you'll be joining a small, collaborative team, expect questions about teamwork and communication. Think of examples where you’ve successfully collaborated with others, especially in a tech environment, and be prepared to share how you handle feedback and differing opinions.
