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For Companies At a Glance
- Tasks: Join us as an Azure Data Engineer, building cutting-edge data solutions daily.
- Company: Be part of a leading firm in the insurance sector, shaping data analytics.
- Benefits: Enjoy competitive pay, flexible working options, and a vibrant team culture.
- Why this job: Work on impactful projects in a dynamic environment with opportunities for growth.
- Qualifications: 8+ years in data analytics, with strong Azure and Databricks experience required.
- Other info: Experience in the Lloyd's market is a plus!
The predicted salary is between 54000 - 84000 £ per year.
Roles: Azure Data Engineer (Databricks)
Location: London
Key Skills:
- 8 plus years of experience in building / architecting data analytic solutions.
- 3 years of experience in building data platform using Azure services including Azure Databricks, Azure Data Factory, Delta Lake, Azure Data Lake (ADLS), Power BI.
- Solid hands-on experience with Azure Databricks - Pyspark coding and Spark SQL coding - Must have.
- Very good knowledge of data warehousing skills including dimensional modeling, slowly changing dimension patterns, and time travel.
- Experience in delivering Agile projects with implementation knowledge on CI/CD pipelines, preferably on Azure DevOps.
- Experience in delivering data analytical platform for insurance customers.
- Experience in Lloyd's market of London will be of added advantage.
Azure Data Engineer employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with Azure Databricks and Pyspark coding during any discussions. Prepare specific examples of projects where you've successfully implemented these technologies, as this will demonstrate your expertise.
✨Tip Number 2
Familiarise yourself with the insurance sector, particularly the Lloyd's market in London. Understanding the unique data challenges faced by this industry can give you an edge in interviews and show your commitment to the role.
✨Tip Number 3
Highlight your experience with Agile methodologies and CI/CD pipelines. Be ready to discuss how you've contributed to Agile projects in the past, especially those involving Azure DevOps, as this is a key requirement for the position.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who work with Azure services. Engaging with communities or attending meetups can provide insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8+ years of experience in building and architecting data analytic solutions. Emphasise your hands-on experience with Azure services, especially Azure Databricks, and include specific projects where you used Pyspark coding and Spark SQL.
Craft a Strong Cover Letter: In your cover letter, explain why you're a great fit for the Azure Data Engineer role. Mention your experience with Agile projects and CI/CD pipelines, and how these skills can benefit the company. If you have experience in the Lloyd's market, be sure to highlight that as well.
Showcase Relevant Projects: Include a section in your application that details relevant projects you've worked on, particularly those involving Azure Data Factory, Delta Lake, and Power BI. This will demonstrate your practical experience and problem-solving abilities.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at N Consulting Limited
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Azure Databricks, Pyspark, and Spark SQL. Bring examples of projects where you've successfully implemented these technologies, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand Data Warehousing Concepts
Brush up on your knowledge of data warehousing, especially dimensional modelling and slowly changing dimensions. Be ready to explain how you've applied these concepts in past projects, as they are crucial for the role.
✨Familiarise Yourself with Agile Methodologies
Since the company values Agile project delivery, be prepared to discuss your experience with Agile methodologies and CI/CD pipelines. Highlight any specific tools or processes you've used, particularly within Azure DevOps.
✨Research the Insurance Sector
If you have experience in delivering data analytical platforms for insurance customers, make sure to highlight this. If not, do some research on the Lloyd's market of London and be ready to discuss how your skills can be applied in that context.
