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- Tasks: Architect and build scalable data pipelines to optimise data infrastructure.
- Company: Join a global digital media company with a data-driven tech team.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for growth.
- Why this job: Make an impact on data strategy using modern cloud technologies.
- Qualifications: Strong skills in Python and cloud technologies are essential.
- Other info: Be part of a dynamic team driving insightful decision-making.
The predicted salary is between 36000 - 60000 £ per year.
A global digital media company is seeking a Data Engineer to join its data-driven tech team in London. In this role, you will architect and build scalable data pipelines and optimize data infrastructure, playing a crucial part in the company's data strategy.
The ideal candidate will work with modern cloud technologies and be responsible for managing end-to-end data processes that drive insightful decision-making. Strong skills in Python and cloud technologies are essential for success in this position.
Data Engineer – Hybrid London (2 days/wk) employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Hybrid London (2 days/wk)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Python and cloud technologies. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data pipeline architecture and optimisation techniques. We can even do mock interviews together!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have insider tips on what the hiring team is looking for.
We think you need these skills to ace Data Engineer – Hybrid London (2 days/wk)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and cloud technologies. We want to see how your skills in Python and data infrastructure can contribute to our data-driven tech team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering. Share specific examples of projects you've worked on that align with our needs, and show us how you can help shape our data strategy.
Showcase Your Technical Skills: Don’t shy away from listing your technical skills! We’re looking for strong Python abilities and familiarity with modern cloud technologies, so make sure these stand out in your application.
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 any important updates about the hiring process!
How to prepare for a job interview at Data Science Festival
✨Know Your Tech Stack
Make sure you’re well-versed in the cloud technologies mentioned in the job description. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects. Being able to articulate your experience with scalable data pipelines will definitely impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your critical thinking and ability to optimise data infrastructure effectively.
✨Understand the Company’s Data Strategy
Do some research on the company’s current data initiatives and strategies. Knowing how they leverage data for decision-making can give you an edge. You can even suggest ideas or improvements during the interview to show your proactive approach and genuine interest in their goals.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, the tech stack they use, or their future data projects. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!
