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- Tasks: Join our team to support a key reporting project using cutting-edge Microsoft cloud technologies.
- Company: We are a high-calibre IT Managed Services Provider focused on business transformation.
- Benefits: Enjoy remote work options and opportunities for skill enhancement in digital transformation.
- Why this job: Be part of exciting enterprise-level projects and stay ahead with the latest tech trends.
- Qualifications: Extensive experience as a data engineer with proficiency in Azure Data Platform and SQL.
- Other info: Ideal for those who love mentoring and working with agile delivery methods.
The predicted salary is between 43200 - 78000 £ per year.
High-calibre IT Managed Services Provider seeking an Azure Data Engineer to join their expanding applications team. In this role, you’ll support a crucial reporting project and play a key part in driving business transformation with the very latest Microsoft cloud technologies.
The ideal candidate will have extensive experience as a data engineer within large organisations working on enterprise-class platforms. This opportunity is ideal for someone who enjoys staying up to date with technology through active involvement in solution delivery and is keen to advance their career by enhancing their skills in digital transformation.
Key Responsibilities:- Collaborate on enterprise-level projects.
- Deliver hands-on solutions to internal clients.
- Stay updated with technology trends and actively participate in solution delivery.
- Proficiency in Azure Data Platform (Data Lake, Synapse Analytics, SQL Database, Data Factory).
- Strong knowledge of Power BI and Microsoft reference architectures.
- Experience in Data Platform Design and Azure DevOps.
- Understanding of Azure data integration technologies and Modern Workplace.
- Experience with Fabric would be beneficial.
- Agile delivery methods.
- Mentoring junior staff.
- Deploying Azure solutions using CI/CD pipelines.
- Data integration, analysis, modelling, cleansing, and enrichment.
- Working with remote teams.
- Proficiency in SQL and Python.
- Knowledge of Data Governance, including MDM and Data Quality tools.
Senior Azure Data Engineer employer: Context Recruitment
Contact Detail:
Context Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure Data Engineer
✨Tip Number 1
Network with professionals in the Azure Data Engineering field. Attend industry meetups, webinars, or online forums where you can connect with current employees at StudySmarter or similar companies. This can give you insights into the company culture and the specific skills they value.
✨Tip Number 2
Showcase your hands-on experience with Azure technologies by working on personal projects or contributing to open-source initiatives. This not only enhances your skills but also provides tangible examples to discuss during interviews.
✨Tip Number 3
Stay updated with the latest trends in Azure and data engineering. Follow relevant blogs, podcasts, and online courses to ensure you’re knowledgeable about new features and best practices, which can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering problems and scenarios related to Azure. Use platforms like LeetCode or HackerRank to sharpen your skills, focusing on SQL and Python challenges that reflect the job requirements.
We think you need these skills to ace Senior Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Platform, Power BI, and any relevant projects you've worked on. Use keywords from the job description to ensure it aligns with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or technologies you’ve worked with that relate to the responsibilities outlined in the job description, such as data integration and Azure DevOps.
Showcase Relevant Experience: When detailing your work experience, focus on your roles in enterprise-level projects and how you contributed to business transformation. Highlight any mentoring experience and your familiarity with Agile delivery methods.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Senior Azure Data Engineer.
How to prepare for a job interview at Context Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in the Azure Data Platform, including Data Lake, Synapse Analytics, and SQL Database. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Your Problem-Solving Abilities
Prepare examples of how you've tackled complex data integration challenges in previous roles. Companies are looking for candidates who can deliver hands-on solutions and drive business transformation.
✨Stay Updated with Technology Trends
Show your enthusiasm for technology by discussing recent trends or advancements in Azure and data engineering. This will demonstrate your commitment to continuous learning and staying relevant in the field.
✨Emphasise Collaboration and Mentoring
Since the role involves working with remote teams and mentoring junior staff, be ready to share experiences where you've successfully collaborated on projects or guided less experienced colleagues.
