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- Tasks: Build scalable data pipelines and enhance data infrastructure for strategic projects.
- Company: Global digital media company with a dynamic tech team in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on revenue optimisation and business decisions with your data skills.
- Qualifications: Strong skills in Python and cloud technologies like GCP and AWS.
- Other info: Join a vibrant team and contribute to innovative data strategies.
The predicted salary is between 36000 - 60000 £ per year.
A global digital media company is looking for a Data Engineer to join their dynamic tech team in London. The role focuses on building scalable data pipelines, enhancing data infrastructure, and supporting strategic projects with data insights.
Candidates should have strong skills in Python and cloud technologies like GCP and AWS. This position directly impacts revenue optimisation and business decisions, making it essential to the company's data strategy.
Hybrid Data Engineer: Build Pipelines & Insights employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer: Build Pipelines & Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your expertise in Python and cloud technologies like GCP and AWS.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Be ready to discuss how you've optimised revenue through data insights in past roles. We want to see your thought process!
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Data Engineer: Build Pipelines & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and cloud technologies like GCP and AWS. We want to see how your skills align with the role of a Data Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about building scalable data pipelines and how you can contribute to our data strategy. Keep it engaging and personal – we love to see your passion!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in data engineering. We’re keen to know how you’ve used data insights to drive decisions or optimise processes – it’s all about making an impact!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Data Science Festival
✨Know Your Tech Stack
Make sure you brush up on your Python skills and get familiar with GCP and AWS. Be ready to discuss specific projects where you've used these technologies, as this will show your practical experience and understanding of the tools they'll expect you to use.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in building data pipelines or enhancing data infrastructure. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to see your thought process and impact.
✨Understand the Business Impact
Since this role directly affects revenue optimisation, be ready to discuss how data insights can drive business decisions. Research the company’s recent projects or initiatives and think about how your role as a Data Engineer could contribute to their success.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team dynamics, current projects, or the company's data strategy. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
