Azure Data Engineer - SC Cleared
Azure Data Engineer - SC Cleared

Azure Data Engineer - SC Cleared

Freelance 48000 - 72000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Design and implement scalable data pipelines using Azure and Databricks technologies.
  • Company: Join a leading organisation at the forefront of data analytics for government clients.
  • Benefits: Competitive day rate, remote work, and opportunities for professional growth.
  • Why this job: Make a real impact in data engineering while working with cutting-edge technologies.
  • Qualifications: Experience in Azure services, Python skills, and strong communication abilities.
  • Other info: Exciting contract role with excellent career advancement potential.

The predicted salary is between 48000 - 72000 £ per year.

This is an exciting contract opportunity for an SC Cleared Azure Data Engineer to join an experienced team working at the forefront of data analytics for a central government customer. Our client equips ambitious organisations with enduring control of their data and AI evolution.

Responsibilities

  • Design and implement scalable data pipelines and ETL processes using Azure and Databricks technologies including Delta Live Tables, Medallion Architecture, Notebook development.
  • Lead technical discussions with clients and stakeholders to gather requirements and propose solutions.
  • Take ownership for the delivery of core solution components.
  • Support with planning, requirements refinement and work estimation.

Skills and Experiences

  • Design and develop end-to-end data solutions leveraging Azure services for batch, real time and streaming workloads (including data ingestion, cleansing, modelling and integration).
  • Strong background of enterprise data platform development, concepts and methods such as data warehouses and data lakehouse, with the ability to adapt and tailor based on requirements.
  • Experience with Azure Synapse, Azure Databricks, Microsoft Fabric, Data Factory.
  • Expert Python skills.
  • Good experience of CI/CD practices and tools for data platforms using Azure DevOps.
  • Good understanding of data governance and data architecture principles.
  • Excellent communication skills.
  • Desirable certification in Azure Data Engineering and Databricks Engineering.

Additional Information

  • Day Rate: Up to £445
  • IR35 Status: Outside
  • Location: Remote
  • Required: Active SC Clearance

Azure Data Engineer - SC Cleared employer: Shareforce

Join a forward-thinking team as an Azure Data Engineer, where you will play a pivotal role in shaping data analytics for central government clients. Our company fosters a collaborative work culture that prioritises innovation and professional growth, offering competitive day rates and the flexibility of remote work. With a focus on cutting-edge technologies and a commitment to employee development, this is an exceptional opportunity for those looking to make a meaningful impact in the data landscape.
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Contact Detail:

Shareforce Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Azure Data Engineer - SC Cleared

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data pipelines and ETL processes, and don’t forget to highlight your communication skills!

✨Tip Number 4

Apply through our website! We’ve got loads of opportunities waiting for talented Azure Data Engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace Azure Data Engineer - SC Cleared

Azure Data Engineering
ETL Processes
Databricks
Delta Live Tables
Medallion Architecture
Data Ingestion
Data Cleansing
Data Modelling
Data Integration
Azure Synapse
Microsoft Fabric
Data Factory
Python
CI/CD Practices
Data Governance

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Azure and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects and achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you the perfect fit. We love seeing genuine enthusiasm for the work we do at StudySmarter.

Showcase Your Technical Skills: Since this role involves a lot of technical work, make sure to highlight your expertise in Azure services, Python, and CI/CD practices. We want to know how you’ve used these skills in real-world scenarios, so give us some examples!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at Shareforce

✨Know Your Azure Inside Out

Make sure you brush up on your Azure services knowledge, especially around Azure Synapse, Databricks, and Data Factory. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.

✨Showcase Your ETL Expertise

Prepare to talk about your experience designing and implementing scalable data pipelines and ETL processes. Have specific examples ready that highlight your skills in using Delta Live Tables and Medallion Architecture, as well as any innovative solutions you've proposed in previous roles.

✨Communicate Clearly and Confidently

Since excellent communication skills are a must, practice articulating your thoughts clearly. Be prepared to lead technical discussions and gather requirements from stakeholders. Use the STAR method (Situation, Task, Action, Result) to structure your responses during the interview.

✨Demonstrate Your CI/CD Knowledge

Familiarise yourself with CI/CD practices and tools, particularly in the context of Azure DevOps. Be ready to explain how you've implemented these practices in your previous work, and how they contributed to the success of your data platforms.

Azure Data Engineer - SC Cleared
Shareforce

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