At a Glance
- Tasks: Manage data pipelines and lead client integrations using Azure Data Factory.
- Company: Join Dayshape, a forward-thinking company in Edinburgh.
- Benefits: Salary between £38,000 - £45,000 with flexible working arrangements.
- Other info: Be part of a diverse and inclusive work environment with growth opportunities.
- Why this job: Shape the future of data solutions while collaborating with clients and teams.
- Qualifications: Experience with ETL processes and Azure tools is essential.
The predicted salary is between 38000 - 45000 £ per year.
Dayshape is seeking a Data Engineer in Edinburgh to manage the lifecycle of data pipelines and lead client integrations. You will architect solutions with Azure Data Factory and collaborate with both clients and internal teams. Ideal candidates have experience with ETL processes and Azure tools.
The position offers a salary of £38,000 - £45,000 and flexible working arrangements, supporting the development of a diverse and inclusive working environment.
Azure Data Engineer — Client‑Facing Data Pipelines employer: Dayshape
At Dayshape, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that fosters personal and professional growth. With generous benefits such as 33 days of holiday, a commitment to employee development, and a supportive team environment, we empower our employees to thrive in their roles while contributing to our ambitious goals. Located in Edinburgh, our hybrid working model allows for flexibility, ensuring a balanced work-life experience in a dynamic SaaS scale-up environment.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer — Client‑Facing Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Azure and data pipelines. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with ETL processes and Azure tools. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you would handle client integrations and data lifecycle management, as these are key aspects of the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Azure Data Engineer — Client‑Facing Data Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure Data Factory and ETL processes. 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 excited about the Data Engineer position at Dayshape and how you can contribute to client integrations. Let us know what makes you tick!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data management or client-facing roles. We love seeing candidates who can think on their feet and come up with innovative solutions.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Dayshape
✨Know Your Azure Tools
Make sure you brush up on your knowledge of Azure Data Factory and other Azure tools. Be ready to discuss how you've used these in past projects, especially in relation to ETL processes. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Client Integration Skills
Since this role involves leading client integrations, prepare examples of how you've successfully collaborated with clients in the past. Highlight any challenges you faced and how you overcame them. This will demonstrate your ability to manage relationships and deliver results.
✨Understand the Data Pipeline Lifecycle
Familiarise yourself with the entire lifecycle of data pipelines. Be prepared to discuss how you would approach managing these pipelines from inception to deployment. This shows that you have a comprehensive understanding of the role and can think strategically about data management.
✨Emphasise Diversity and Inclusion
Dayshape values a diverse and inclusive working environment, so be ready to discuss how you contribute to this in your work. Share experiences where you've worked in diverse teams or supported inclusivity in your previous roles. This will resonate well with their company culture.
