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- Tasks: Build and enhance data pipelines while working with analytics platforms.
- Company: Fast-growing tech scale-up in the UK with a focus on innovation.
- Benefits: Remote work, competitive salary, 25 days' leave, and stock options.
- Why this job: Join a dynamic team and make a real impact on data infrastructure.
- Qualifications: Strong skills in SQL, Python, dbt, and experience with AWS Redshift.
- Other info: Exciting opportunities for career growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A high-growth technology scale-up in the UK is seeking a Data Engineer to enhance its data infrastructure. The role focuses on building and improving data pipelines and working with analytics platforms.
Candidates should have strong skills in SQL, Python, and dbt, with experience in AWS Redshift.
This position offers remote working, a competitive salary, and various benefits including 25 days' leave and stock options eligibility.
Remote AWS Data Engineer: Pipelines & Analytics in Manchester employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AWS Data Engineer: Pipelines & Analytics in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. You never know who might have a lead on that perfect Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with SQL, Python, and dbt. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with AWS Redshift. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote AWS Data Engineer: Pipelines & Analytics in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and dbt. We want to see how your skills align with the role of a Data Engineer, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity at StudySmarter and how your background in AWS Redshift can contribute to our data infrastructure.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in building or improving data pipelines. We love seeing candidates who can think critically and innovate in their 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 in our high-growth tech scale-up!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Stack
Make sure you brush up on your SQL, Python, and dbt skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to AWS Redshift. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Pipeline Experience
Prepare specific examples of data pipelines you've built or improved. Talk about the challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to enhance data infrastructure, which is key for this role.
✨Understand Analytics Platforms
Familiarise yourself with the analytics platforms relevant to the company. If you have experience with any specific tools or frameworks, be sure to mention them. Showing that you understand how data flows into analytics and how it can be leveraged will set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street, after all!