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- Tasks: Design and maintain data ingestion and ETL pipelines for real-time analytics.
- Company: Dynamic data analytics company based in Edinburgh with a flexible culture.
- Benefits: Competitive salary and a flexible working environment.
- Other info: Opportunity to work with cloud services like Azure or AWS.
- Why this job: Join a team that shapes data solutions for impactful business applications.
- Qualifications: 5+ years in data engineering, strong SQL and Python skills required.
The predicted salary is between 43200 - 72000 £ per year.
A data analytics company based in Edinburgh is seeking a Senior Data Engineer to design, build, and maintain data ingestion and ETL pipelines. This role will focus on developing scalable data platforms that support business functions and customer-facing applications.
Candidates should have over 5 years of experience in data engineering, strong SQL and Python skills, and familiarity with cloud services such as Azure or AWS.
The company offers a competitive salary and a flexible working culture.
Senior Data Engineer — Real-Time Data Platform in Edinburgh employer: Atto
Contact Detail:
Atto Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Real-Time Data Platform in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with real-time data platforms. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving ETL pipelines and cloud services like Azure or AWS. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on SQL and Python. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions and coding challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer — Real-Time Data Platform in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL and Python. 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! Tell us why you’re passionate about data engineering and how your experience can help us build amazing data platforms. Keep it engaging and personal.
Showcase Your Cloud Experience: Since we’re looking for someone familiar with cloud services like Azure or AWS, make sure to mention any relevant projects or experiences. We love seeing how you’ve leveraged these tools in your past roles!
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 us!
How to prepare for a job interview at Atto
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've designed or maintained data ingestion and ETL pipelines, as this will show your hands-on experience.
✨Familiarise Yourself with Cloud Services
Since the role involves cloud services like Azure or AWS, take some time to review their features and how you've used them in past projects. Being able to talk about your experience with these platforms will set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data engineering. Think of examples where you've had to troubleshoot issues or optimise data flows, and be ready to explain your thought process.
✨Showcase Your Team Spirit
This company values a flexible working culture, so highlight your ability to collaborate with others. Share experiences where you've worked in teams to deliver successful data solutions, as this will demonstrate your fit within their culture.