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- Tasks: Build scalable data pipelines and deliver insightful tools for a leading digital media company.
- Company: Join a top digital media company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Combine your engineering skills with strategic business impact in a dynamic environment.
- Qualifications: Strong Python experience and knowledge of cloud technologies like GCP and AWS.
- Other info: Exciting role with potential for career advancement in a fast-paced industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading digital media company in the United Kingdom is seeking a Python Data Engineer. This role involves building scalable ETL/ELT data pipelines, optimizing data infrastructure, and delivering insightful tools.
The ideal candidate has strong experience in Python, cloud technologies like GCP and AWS, and a solid understanding of data modeling. If you are eager to combine engineering with strategic business impact, this is the role for you.
Python Data Engineer — Pipelines, Dashboards & Insights in London employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Engineer — Pipelines, Dashboards & Insights in London
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving data pipelines and dashboards. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to ETL/ELT processes and cloud technologies like GCP and AWS. Practice makes perfect, so get comfortable explaining your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Python Data Engineer — Pipelines, Dashboards & Insights in London
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, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in building scalable data pipelines can make a difference at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in data engineering. We love seeing candidates who can think critically and deliver insightful tools that drive business impact.
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 Data Science Festival
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with building ETL/ELT pipelines and any specific libraries or frameworks you've used. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Familiarise Yourself with Cloud Technologies
Since the role involves cloud technologies like GCP and AWS, it’s crucial to understand their services and how they relate to data engineering. Prepare to talk about any projects where you've utilised these platforms, and be ready to explain how you optimised data infrastructure in those scenarios.
✨Showcase Your Data Modelling Skills
Be prepared to discuss your understanding of data modelling concepts. Think of examples from your past work where you designed data models that improved data accessibility or performance. This will show your potential employer that you can deliver insightful tools effectively.
✨Connect Engineering to Business Impact
This role is all about combining engineering with strategic business impact. Think of instances where your work as a data engineer led to significant business outcomes. Being able to articulate this connection will set you apart and demonstrate your value to the company.
