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- Tasks: Design data pipelines and manage the data lake to drive innovation.
- Company: Nomia Ltd, a forward-thinking company in Greater London.
- Benefits: Hybrid work model, flexibility, and a focus on inclusivity.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Join a team that values AI innovation and makes a real impact with data.
- Qualifications: 3+ years in data engineering, expertise in Azure, Python, and PostgreSQL.
The predicted salary is between 50000 - 65000 £ per year.
Nomia Ltd in Greater London is seeking a Data Engineer to drive innovation through data solutions. The ideal candidate should have over 3 years of experience in data engineering, expertise in Microsoft Azure tools, and proficiency in Python and PostgreSQL.
Responsibilities include:
- Designing data pipelines
- Managing the data lake
- Ensuring compliance with data protection policies
The role offers a hybrid work model with flexibility and emphasizes inclusivity and AI innovation within the organization.
Hybrid Data Engineer | Azure ETL & Data Lake employer: Nomia Ltd
Contact Detail:
Nomia Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer | Azure ETL & Data Lake
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Nomia Ltd on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data engineering projects, especially those involving Azure, Python, and PostgreSQL. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data pipeline design and ETL processes. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match what Nomia Ltd is looking for.
We think you need these skills to ace Hybrid Data Engineer | Azure ETL & Data Lake
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Microsoft Azure tools. We want to see how your skills in Python and PostgreSQL can drive innovation at Nomia Ltd!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data solutions and how you can contribute to our inclusive culture. Don’t forget to mention your experience with designing data pipelines and managing data lakes.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! We love seeing real examples of your work, especially those that demonstrate your expertise in ETL processes and compliance with data protection policies.
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 Nomia Ltd
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Microsoft Azure tools, Python, and PostgreSQL. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience and problem-solving skills.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience designing data pipelines. Think of examples where you’ve optimised processes or solved complex data challenges. This will demonstrate your ability to drive innovation through data solutions, which is key for the role.
✨Understand Data Compliance
Familiarise yourself with data protection policies relevant to the role. Be prepared to discuss how you’ve ensured compliance in past projects. This shows that you take data governance seriously, which is crucial for any data engineering position.
✨Embrace the Hybrid Work Model
Since the role offers a hybrid work model, be ready to discuss how you manage your time and productivity in both remote and in-office settings. Highlight your adaptability and how you can contribute to a collaborative team environment, even from a distance.