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- Tasks: Build robust data pipelines for ML and AI workloads in a fully remote role.
- Company: Join a leading enterprise manufacturing organisation with a focus on innovation.
- Benefits: 12-month contract with potential for extension or full-time conversion.
- Other info: Great opportunity for career growth in a dynamic tech environment.
- Why this job: Make an impact in AI while working from anywhere and developing your skills.
- Qualifications: Experience with Azure Data Factory, Synapse Analytics, SQL, and data governance.
The predicted salary is between 50000 - 70000 £ per year.
Darwin Recruitment is looking for an AI Data Engineer to join a leading enterprise manufacturing organization. This 100% remote role focuses on building robust and scalable data pipelines that support ML and AI workloads.
Candidates should have strong experience with:
- Azure Data Factory
- Synapse Analytics
- SQL
Along with a solid understanding of data governance and quality in Azure environments. The contract length is 12 months, with the possibility to extend or convert to a full-time position.
Remote AI Data Engineer — Scalable ML Pipelines employer: Darwin Recruitment
Contact Detail:
Darwin Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Data Engineer — Scalable ML Pipelines
✨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 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 Data Factory and Synapse Analytics. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data governance and quality in Azure environments. Practising your responses will help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote AI Data Engineer — Scalable ML Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Synapse Analytics, and SQL. 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 explain why you’re passionate about building scalable data pipelines and how your background makes you a perfect fit for our team.
Showcase Your Understanding of Data Governance: Since this role involves data governance and quality, include examples of how you've ensured data integrity in past projects. We love seeing candidates who understand the importance of clean data!
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 during the process!
How to prepare for a job interview at Darwin Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure Data Factory, Synapse Analytics, and SQL. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Governance Skills
Since data governance is key for this role, prepare examples that demonstrate your understanding of data quality and compliance in Azure environments. Think about specific instances where you ensured data integrity or improved data processes.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to building scalable ML pipelines. Practice articulating your thought process clearly, as interviewers will be keen to see how you approach complex issues.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's data strategy or their current projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.