At a Glance
- Tasks: Design modern data systems and enhance data flow with innovative tools.
- Company: Digital Waffle, a forward-thinking company based in London.
- Benefits: Competitive pay, achievable bonuses, and a hybrid working model.
- Other info: Join a creative team in a dynamic and impactful environment.
- Why this job: Make a real impact by building and managing data pipelines.
- Qualifications: Hands-on experience with Python, SQL, and cloud platforms.
The predicted salary is between 60000 - 75000 £ per year.
Digital Waffle, based in London, is seeking a Data Engineer to design modern data systems and enhance data flow. You will build and manage data pipelines, using tools such as dbt and Airflow, and work closely with product teams.
The ideal candidate has hands-on experience with Python and SQL, familiarity with cloud platforms, and a creative mindset.
This hybrid role includes competitive pay, achievable bonuses, and an impactful working environment.
Senior Data Engineer — Hybrid London, Impactful Data employer: Digital Waffle
Digital Waffle is an excellent employer, offering a dynamic and collaborative work culture in the heart of London. With a focus on employee growth, we provide opportunities for professional development and innovation, ensuring that our team members can thrive while making a meaningful impact through their work. Enjoy competitive pay, achievable bonuses, and the flexibility of a hybrid working model that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — Hybrid London, Impactful Data
✨Tip Number 1
Network like a pro! Reach out to current employees at Digital Waffle on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a case study that highlights your experience with Python, SQL, and data pipelines. This will make you stand out during interviews.
✨Tip Number 3
Be ready for technical challenges! Brush up on your knowledge of dbt and Airflow. We recommend practicing common data engineering problems to ace those technical interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who want to make an impact in data engineering.
We think you need these skills to ace Senior Data Engineer — Hybrid London, Impactful Data
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and any cloud platforms you've worked with. We want to see how your skills align with the role of a Senior Data Engineer, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team at Digital Waffle. Let us know why you're excited about this hybrid role and what makes you a great fit.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or using tools like dbt and Airflow, we love seeing real-world examples of your work.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Digital Waffle
✨Know Your Data Tools
Make sure you brush up on your knowledge of dbt and Airflow. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your hands-on experience with Python and SQL. You might be asked to solve a problem or write a query on the spot, so practice common data manipulation tasks beforehand.
✨Understand Cloud Platforms
Familiarise yourself with the cloud platforms relevant to the role. Be prepared to discuss how you've leveraged cloud services in your previous work and how they can enhance data flow and storage.
✨Emphasise Collaboration
Since you'll be working closely with product teams, highlight your teamwork skills. Share examples of how you've collaborated with others to design data systems or improve processes, showcasing your creative mindset.
