Azure Data Engineer

Azure Data Engineer

London Full-Time 54000 - 84000 £ / year (est.) No home office possible
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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 flexible working options and a vibrant company culture.
  • Why this job: Make an impact in the Lloyd's market while enhancing your tech skills.
  • Qualifications: 8+ years in data solutions, with 3 years on Azure services required.
  • Other info: Experience with Agile projects and CI/CD pipelines 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.
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Contact Detail:

N Consulting Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Azure Data Engineer

✨Tip Number 1

Network with professionals in the Azure and data engineering space. Attend meetups, webinars, or conferences related to Azure technologies to connect with potential colleagues and learn about job openings.

✨Tip Number 2

Showcase your hands-on experience with Azure Databricks and Pyspark by contributing to open-source projects or creating your own projects. This practical experience can set you apart during interviews.

✨Tip Number 3

Familiarise yourself with the specific needs of the insurance industry, especially if you have experience in the Lloyd's market. Understanding industry-specific challenges can give you an edge in discussions with hiring managers.

✨Tip Number 4

Prepare for technical interviews by practising coding challenges related to Pyspark and Spark SQL. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.

We think you need these skills to ace Azure Data Engineer

Azure Databricks
Pyspark Coding
Spark SQL Coding
Azure Data Factory
Delta Lake
Azure Data Lake (ADLS)
Power BI
Data Warehousing
Dimensional Modelling
Slowly Changing Dimension Patterns
Time Travel Techniques
Agile Project Delivery
CI/CD Pipeline Implementation
Azure DevOps
Data Analytical Solutions
Insurance Industry Knowledge
Lloyd's Market Experience

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your 8+ years of experience in building data analytic solutions. Emphasise your hands-on experience with Azure Databricks, Pyspark coding, and Spark SQL, as these are crucial for the role.

Craft a Strong Cover Letter: In your cover letter, mention specific projects where you used Azure services like Azure Data Factory and Delta Lake. Discuss your experience with Agile projects and CI/CD pipelines, particularly on Azure DevOps, to show your fit for the role.

Showcase Relevant Experience: If you have experience delivering data analytical platforms for insurance customers or knowledge of the Lloyd's market, make sure to include this in your application. It can set you apart from other candidates.

Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is essential 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 position.

✨Familiarise Yourself with Agile Methodologies

Since the role involves delivering Agile projects, be prepared to discuss your experience with Agile methodologies and CI/CD pipelines. Highlight any specific tools you've used, particularly Azure DevOps, to show your familiarity with the development process.

✨Research the Insurance Sector

If you have experience in the insurance industry, make sure to highlight it. If not, do some research on the Lloyd's market of London and be ready to discuss how your skills can benefit clients in this sector. This will show your interest and understanding of the industry.

Azure Data Engineer
N Consulting Limited
Location: London
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