At a Glance
- Tasks: Develop ETL processes and system integrations using Azure Data Factory and Data Lake.
- Company: Join Peaple Talent's innovative Architecture, Digital, and Data team in Gourock.
- Benefits: Enjoy 37 days of annual leave, staff travel pass, and competitive salary.
- Other info: Excellent training and career growth opportunities await you.
- Why this job: Make an impact with your skills in a hybrid role focused on data innovation.
- Qualifications: At least 2 years of experience with Power BI and Data Governance required.
The predicted salary is between 40000 - 45000 € per year.
Peaple Talent is looking for a Data Engineer in Gourock, Scotland, to join their Architecture, Digital, and Data team. This hybrid role involves developing ETL processes and system integrations using Azure Data Factory and Azure Data Lake.
Candidates should have at least 2 years of experience and strong proficiency in Power BI and Data Governance.
The role offers excellent training, 37 days of annual leave, and a staff travel pass, along with a competitive salary ranging from £40,000 to £45,000.
Azure Data Engineer — ETL, Data Lake & BI Specialist in Gourock employer: Peaple Talent
Peaple Talent is an exceptional employer that prioritises employee growth and development, offering comprehensive training and a supportive work culture in the picturesque setting of Gourock, Scotland. With generous benefits such as 37 days of annual leave and a staff travel pass, we ensure our team members enjoy a healthy work-life balance while contributing to innovative projects in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer — ETL, Data Lake & BI Specialist in Gourock
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Peaple Talent. A friendly chat can give us insights and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Azure Data Factory, Data Lake, and Power BI. We want to see what you can do!
✨Tip Number 3
Ace the interview! Research common interview questions for Data Engineers and practice your answers. We need to demonstrate our expertise in ETL processes and data governance.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your progress and provide updates directly.
We think you need these skills to ace Azure Data Engineer — ETL, Data Lake & BI Specialist in Gourock
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure Data Factory, Data Lake, and Power BI. We want to see how your skills match the job description, 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 data engineering and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Experience:When detailing your work history, focus on specific achievements related to ETL processes and data governance. We love numbers, so if you can quantify your successes, do it! It helps us see the impact you've made.
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 during the process!
How to prepare for a job interview at Peaple Talent
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure Data Factory and Azure Data Lake. Be ready to discuss specific projects where you've developed ETL processes or system integrations, as this will show your hands-on experience and expertise.
✨Showcase Your Power BI Skills
Prepare to demonstrate your proficiency in Power BI. Bring examples of dashboards or reports you've created, and be ready to explain how they contributed to data governance and decision-making in previous roles.
✨Understand Data Governance
Familiarise yourself with data governance principles and practices. Be prepared to discuss how you've implemented these in past projects, as this is crucial for the role and will highlight your understanding of data integrity and compliance.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
