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- Tasks: Design and maintain scalable data platforms using Azure and AWS.
- Company: Dynamic technology consultancy focused on innovation and collaboration.
- Benefits: Professional growth opportunities, collaborative team environment, and competitive salary.
- Why this job: Join a team of tech enthusiasts and advance your career in data engineering.
- Qualifications: Experience with Python, Apache Spark, and ETL/ELT pipelines required.
- Other info: Perfect for those passionate about large-scale data and cloud technologies.
The predicted salary is between 36000 - 60000 £ per year.
A technology consultancy is seeking a skilled Data Engineer to design and maintain scalable data platforms. This role involves working on Azure and AWS, leading technical workshops, and advising on data initiatives.
Ideal candidates will have experience with large-scale data, strong skills in Python, Apache Spark, and ETL/ELT pipelines.
The position offers opportunities for professional growth within a collaborative team environment, making it perfect for tech enthusiasts eager to advance their careers.
Cloud Data Engineer: Azure/AWS, Lakehouse, Pipelines in Glasgow employer: Nine Twenty Recruitment
Contact Detail:
Nine Twenty Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer: Azure/AWS, Lakehouse, Pipelines in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend tech 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 projects, especially those involving Azure, AWS, and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Apache Spark skills. Practice common data engineering problems and be ready to discuss your past experiences with ETL/ELT pipelines.
✨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 Cloud Data Engineer: Azure/AWS, Lakehouse, Pipelines in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, AWS, and any relevant data engineering projects. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Python and Apache Spark!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm for tech and collaboration, so let that passion come through!
Showcase Your Projects: If you've worked on any cool data platforms or pipelines, make sure to mention them! We’re keen to see real-world examples of your work, especially if they involve large-scale data or 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’re considered for the role. Plus, it shows you’re serious about joining our awesome team!
How to prepare for a job interview at Nine Twenty Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure and AWS. Be ready to discuss your experience with large-scale data, Python, Apache Spark, and ETL/ELT pipelines. The more confident you are in these areas, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Think about times when you designed or maintained data platforms and be ready to explain your thought process. This will demonstrate your ability to lead technical workshops and advise on data initiatives.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company's data strategies and team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
✨Emphasise Collaboration
Since this role is within a collaborative team environment, highlight your teamwork experiences. Share stories that showcase your ability to work well with others, especially in tech settings. This will resonate well with the interviewers looking for a team player.
