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- Tasks: Design and build scalable data pipelines using modern tools like dbt and Airflow.
- Company: Dynamic London-based software company with a focus on innovation.
- Benefits: Competitive pay, generous bonuses, and a flexible hybrid working model.
- Why this job: Tackle meaningful data challenges in a supportive and collaborative team environment.
- Qualifications: Experience in Python, SQL, and knowledge of cloud platforms like AWS or GCP.
- Other info: Great opportunity for career growth in a fast-paced tech landscape.
The predicted salary is between 36000 - 60000 £ per year.
A London-based software company is seeking a Data Engineer to design modern data systems and contribute to a scalable data architecture. You will build data pipelines that connect product, analytics, and operations, using tools like dbt and Airflow.
The ideal candidate has experience in Python and SQL, and knowledge of cloud platforms such as AWS or GCP.
This role offers competitive pay, a generous bonus, and a hybrid working model, providing the opportunity to tackle meaningful data challenges in a supportive team environment.
London Hybrid Data Engineer: Build Scalable Pipelines employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London Hybrid Data Engineer: Build Scalable Pipelines
✨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, SQL, and cloud platforms like AWS or GCP.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Practice explaining your thought process when building scalable architectures and how you tackle data challenges.
✨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 get noticed by our hiring team.
We think you need these skills to ace London Hybrid Data Engineer: Build Scalable Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any cloud platforms like AWS or GCP. 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! Use it to explain why you’re excited about building scalable data pipelines and how you can contribute to our team. Keep it engaging and personal – we love to see your passion for data!
Showcase Your Projects: If you've worked on any data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to know how you've tackled data challenges and what tools you used.
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Digital Waffle
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in building data pipelines. Familiarity with tools like dbt and Airflow will definitely give you an edge!
✨Understand Cloud Platforms
Since the role involves working with cloud platforms like AWS or GCP, take some time to review their features and services. Be prepared to explain how you've leveraged these platforms in your previous work, as this will show your practical knowledge and readiness for the job.
✨Showcase Your Problem-Solving Skills
Data engineering is all about tackling challenges. Think of specific examples where you've solved complex data issues or improved existing systems. Sharing these stories will demonstrate your analytical thinking and ability to contribute to a scalable data architecture.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data challenges, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
