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For Companies At a Glance
- Tasks: Design and develop data solutions using Microsoft technologies like Azure and Databricks.
- Company: Join a leading Microsoft partnered consultancy focused on data-driven projects.
- Benefits: Enjoy remote work flexibility and the chance to work with cutting-edge tech.
- Why this job: Be part of impactful projects and collaborate with diverse teams to meet data needs.
- Qualifications: Strong ETL, Python/PySpark, and Azure experience required; data visualization skills with Power BI are a plus.
- Other info: Apply now to kickstart your career in a fast-paced, innovative environment!
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Senior Azure Data Engineer – Remote – £60,000
I am working with a data driven Microsoft partnered consultancy who are looking for a Senior Data Engineer to join their growing team. You will have the opportunity to work with some of the latest Microsoft technologies such as Microsoft Fabric and Databricks.
You will join a team at the centre of a number of data-driven projects where you will be responsible for the design, development and creation of data solutions. You will work on the full end-to-end product lifecycle from platform design to insights creation.
As part of this role, you will be responsible for some of the following areas
- Design, develop and maintain data pipelines that are responsible for the ingestion and transformation of data between different sources
- Create and develop data models
- The creation of insightful and accurate data visuals/reports/dashboards
- Work closely with stakeholders from different departments to ensure their data needs can be met
To be successful in the role you will have
- Strong ETL experience with tools such as ADF or SSIS
- Strong experience with Python/PySpark
- Experience working with Azure technologies – Synapse, Fabric, Data Lake
- Data visualisation experience with Power BI
This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP , so don’t miss out, APPLY now! To do so please email me at or call me on 0191 3387487.
Nigel Frank International are the go-to recruiter for Power BI and Azure Data Platform roles in the UK offering more opportunities across the country than any other recruitment agency. We’re the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. We are the global leaders in Microsoft recruitment.
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Senior Azure Data Engineer - Remote - £60,000 employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure Data Engineer - Remote - £60,000
✨Tip Number 1
Make sure to showcase your strong ETL experience with tools like ADF or SSIS during the interview. Be prepared to discuss specific projects where you successfully implemented these tools, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest Microsoft technologies mentioned in the job description, such as Microsoft Fabric and Databricks. Having a solid understanding of these tools will not only help you in the interview but also show your enthusiasm for the role.
✨Tip Number 3
Prepare to discuss your experience with data visualization, particularly using Power BI. Bring examples of dashboards or reports you've created, as this will highlight your ability to turn data into actionable insights.
✨Tip Number 4
Since the role involves working closely with stakeholders, think of examples where you've successfully collaborated with different departments. Being able to communicate your teamwork skills will be crucial in demonstrating your fit for the position.
We think you need these skills to ace Senior Azure Data Engineer - Remote - £60,000
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience with Azure technologies, ETL tools like ADF or SSIS, and data visualization skills using Power BI. Use keywords from the job description to align your experience with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your familiarity with Microsoft technologies. Mention specific projects where you've successfully designed and developed data solutions, emphasizing your role in the end-to-end product lifecycle.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially your proficiency in Python/PySpark and experience with data pipelines. Providing examples of how you've used these skills in past roles can strengthen your application.
Highlight Collaboration Experience: Since the role involves working closely with stakeholders, include examples of how you've collaborated with different departments to meet their data needs. This will demonstrate your ability to communicate effectively and work as part of a team.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your ETL Expertise
Be prepared to discuss your experience with ETL tools like ADF or SSIS. Highlight specific projects where you designed and maintained data pipelines, emphasizing the challenges you faced and how you overcame them.
✨Demonstrate Your Python Skills
Since strong experience with Python/PySpark is crucial, come ready to share examples of how you've used these technologies in past projects. Consider discussing any performance optimizations or innovative solutions you've implemented.
✨Familiarize Yourself with Azure Technologies
Make sure you understand the Azure ecosystem, particularly Synapse, Fabric, and Data Lake. Be ready to explain how you've utilized these tools in your previous roles and how they can benefit the consultancy's projects.
✨Prepare for Data Visualization Questions
As data visualization experience with Power BI is essential, think of specific dashboards or reports you've created. Be prepared to discuss the design process, the insights derived, and how you collaborated with stakeholders to meet their needs.
