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- Tasks: Design and deliver scalable data solutions while optimising data pipelines.
- Company: Leading data intelligence firm based in Scotland.
- Benefits: Competitive salary and flexible working arrangements.
- Why this job: Join a dynamic team and work on innovative data projects.
- Qualifications: 5+ years in data engineering with strong SQL and Python skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading data intelligence firm in Scotland is seeking a Senior Data Engineer to join their team. This role involves designing and delivering scalable data solutions, optimizing data pipelines, and collaborating with cross-functional teams.
The ideal candidate has over 5 years of experience in data engineering, strong SQL and Python skills, and a passion for technology. The position offers competitive salary and flexible working arrangements.
Senior Data Engineer — Real-Time Data Pipelines & Analytics 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 Pipelines & Analytics in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving real-time data pipelines and analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your past experiences and how you've tackled challenges in data engineering. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right job that matches your skills and passion. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Data Engineer — Real-Time Data Pipelines & Analytics 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! Use it to express your passion for technology and how you can contribute to our team. We love seeing candidates who are genuinely excited about the role.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in data pipelines or analytics. We’re looking for someone who can think on their feet and come up with innovative solutions.
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 Atto
✨Know Your Data 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 scalable data solutions or optimised data pipelines. Having concrete examples will show your expertise and passion for technology.
✨Understand the Company’s Needs
Research the leading data intelligence firm thoroughly. Understand their products, services, and the challenges they face in real-time data analytics. This knowledge will help you tailor your answers and demonstrate how you can contribute to their goals.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and knowledge of data engineering concepts. Practice coding challenges or data pipeline scenarios that might come up during the interview. This will help you feel more confident and prepared.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with others. Share examples of how you've worked effectively in a team setting, highlighting your communication skills and ability to adapt to different perspectives.
