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- Tasks: Implement data ingestion and integration solutions for a cutting-edge simulation platform.
- Company: Leading technology firm based in Manchester with a focus on innovation.
- Benefits: Hybrid work environment, health insurance for you and your dependents, and comprehensive benefits.
- Why this job: Join a dynamic team and shape the future of data analytics in an exciting role.
- Qualifications: Degree in a STEM discipline and experience in data-centric roles required.
- Other info: Great opportunity for career growth in a supportive and innovative environment.
The predicted salary is between 30000 - 42000 £ per year.
A leading technology firm in Manchester is seeking a Data Developer to implement data ingestion and integration solutions for their simulation platform. The role involves working with data systems and architectures, ensuring data quality, and creating custom data models for analytics.
Applicants should have a degree in a STEM discipline and experience in data-centric roles. This position offers a hybrid work environment and comprehensive benefits, including health insurance for employees and dependents.
Data Mesh Engineer | AWS ETL & Analytics Pipelines in Manchester employer: Nessie
Contact Detail:
Nessie Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Mesh Engineer | AWS ETL & Analytics Pipelines in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data ingestion and integration projects. This is your chance to demonstrate your expertise in AWS ETL and analytics pipelines, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data quality and custom data models. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 Data Mesh Engineer | AWS ETL & Analytics Pipelines in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data-centric roles and any relevant projects you've worked on. We want to see how your skills align with the Data Mesh Engineer position, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data ingestion and integration solutions. We love seeing candidates who can connect their personal experiences to our mission at StudySmarter.
Showcase Your Technical Skills: Since this role involves AWS ETL and analytics pipelines, make sure to mention any specific tools or technologies you’ve used. We’re keen to know how you’ve tackled data quality issues and created custom data models in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Plus, you’ll get to see all the other cool opportunities we have!
How to prepare for a job interview at Nessie
✨Know Your Data Inside Out
Make sure you’re well-versed in data ingestion and integration solutions. Brush up on your knowledge of AWS ETL processes and be ready to discuss how you've implemented similar systems in the past.
✨Showcase Your Analytical Skills
Prepare examples of custom data models you've created for analytics. Be ready to explain your thought process and how your models improved data quality or insights.
✨Familiarise Yourself with the Company’s Tech Stack
Research the specific technologies and tools the company uses. If they mention any particular frameworks or platforms in the job description, make sure you understand them and can discuss your experience with them.
✨Ask Insightful Questions
Prepare thoughtful questions about their simulation platform and data architecture. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
