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- Tasks: Join us as a Data Engineer, focusing on data warehousing and business intelligence.
- Company: We're a forward-thinking organisation based in Cardiff, embracing hybrid work culture.
- Benefits: Enjoy flexible working options and a supportive team environment.
- Why this job: Make an impact by optimising data processes and enhancing business intelligence.
- Qualifications: Hands-on experience with Azure, data pipelines, and business analysis is essential.
- Other info: This role offers a chance to work with cutting-edge tools like Power BI and Azure Data Factory.
The predicted salary is between 36000 - 60000 £ per year.
My client is in search of a Data Engineer who will concentrate on data warehousing and business intelligence for the organisation. The role involves utilising tools such as Azure Data Factory, Power BI, Fabric, SSRS Reporting, and data cubes.
Key Responsibilities
- Oversee Azure Data Factory, Data Lake, and Data Warehouse SQL environments
- Work with business and technical teams to gather and document data requirements
- Design, implement, update, and support data pipelines in Azure Data Factory (ADF)
- Maintain data warehouse dimensional model and develop data marts
- Develop standards and processes to optimize cost and service delivery
- Provide ongoing support, debug issues, and perform root cause analysis
- Enforce data management governance processes and standards
Experience:
- Hands-on experience with Azure and Microsoft data stack, data pipelines, data cubes, SSRS to PowerBI migration
- Business and technical requirements analysis, business process modeling, data architecture
Data Engineer in Cardiff employer: DGH Recruitment
Contact Detail:
DGH Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Cardiff
✨Tip Number 1
Familiarise yourself with Azure Data Factory and the Microsoft data stack. Consider building a small project or contributing to open-source projects that utilise these tools, as hands-on experience will make you stand out.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Azure. Attend local meetups or online webinars to connect with others and learn about industry trends and best practices.
✨Tip Number 3
Prepare to discuss your experience with data warehousing and business intelligence during interviews. Be ready to share specific examples of how you've designed and implemented data pipelines or optimised data processes in previous roles.
✨Tip Number 4
Stay updated on the latest features and updates in Azure and Power BI. Being knowledgeable about recent advancements can give you an edge in discussions and demonstrate your commitment to continuous learning.
We think you need these skills to ace Data Engineer in Cardiff
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and required skills. Make sure you highlight your experience with Azure Data Factory, Power BI, and data warehousing in your application.
Tailor Your CV: Customise your CV to reflect the specific skills and experiences that align with the Data Engineer role. Emphasise your hands-on experience with the Microsoft data stack and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's needs. Mention how your background in business and technical requirements analysis can benefit their team.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise.
How to prepare for a job interview at DGH Recruitment
✨Know Your Tools
Familiarise yourself with Azure Data Factory, Power BI, and SSRS Reporting. Be prepared to discuss your hands-on experience with these tools and how you've used them in past projects.
✨Understand Data Pipelines
Be ready to explain the process of designing and implementing data pipelines. Highlight any specific challenges you've faced and how you overcame them, especially in Azure environments.
✨Showcase Problem-Solving Skills
Prepare examples of how you've debugged issues or performed root cause analysis in previous roles. This will demonstrate your analytical skills and ability to maintain data integrity.
✨Communicate Effectively
Since the role involves working with both business and technical teams, practice explaining complex technical concepts in simple terms. This will show your ability to bridge the gap between different stakeholders.
