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- Tasks: Design and develop ELT/ETL pipelines for a trusted data platform.
- Company: A leading Scottish luxury brand with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Shape the future of data in a prestigious brand and make impactful decisions.
- Qualifications: Strong SQL, Python skills, and deep Power BI experience required.
- Other info: Join a dynamic team and contribute to a greenfield project.
The predicted salary is between 36000 - 60000 £ per year.
A leading Scottish luxury brand is seeking an experienced Data Engineer on a contract basis to develop a trusted data platform. The role involves designing ELT/ETL pipelines, managing data quality and governance, and collaborating with business leaders to ensure data is fit for decision-making.
Candidates should have strong SQL and Python skills along with deep Power BI experience. This hybrid role is pivotal for shaping the data roadmap and requires strong engineering capabilities.
Data Engineer (12m) - Greenfield Platform, Hybrid in Auchterarder employer: Denholm Associates
Contact Detail:
Denholm Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (12m) - Greenfield Platform, Hybrid in Auchterarder
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at the company you're eyeing. A friendly chat can sometimes lead to insider info or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your SQL, Python, and Power BI expertise. Having something tangible to discuss during interviews can really set you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Data Engineers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
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 Engineer (12m) - Greenfield Platform, Hybrid in Auchterarder
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL, Python, and Power BI skills. We want to see how your experience aligns with the role of a Data Engineer, 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 excited about this opportunity and how your background makes you a perfect fit for developing our trusted data platform.
Showcase Your Collaboration Skills: Since this role involves working closely with business leaders, we’d love to see examples of how you’ve successfully collaborated in the past. Highlight any experiences where you’ve ensured data quality and governance.
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 with our team!
How to prepare for a job interview at Denholm Associates
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've designed ELT/ETL pipelines or managed data quality. Having concrete examples will show that you can apply your knowledge effectively.
✨Showcase Your Power BI Expertise
Since deep Power BI experience is a must, prepare to talk about how you've used it in past roles. Bring along any dashboards or reports you've created to demonstrate your ability to turn data into actionable insights. Visuals can really make your case stronger!
✨Understand the Business Context
This role involves collaborating with business leaders, so it's crucial to understand how data impacts decision-making. Research the company and think about how your work as a Data Engineer can support their goals. This will help you align your answers with their needs.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your engineering capabilities and problem-solving skills. Think of scenarios where you've tackled data challenges or improved processes. Practising these responses will help you feel more confident during the interview.
