Azure Data Engineer - £450/day Outside IR35 - 6 Months - Hybrid

Azure Data Engineer - £450/day Outside IR35 - 6 Months - Hybrid

Freelance Home office (partial)
Involved Solutions

At a Glance

  • Tasks: Design and build scalable data pipelines on Azure, optimising ETL processes.
  • Company: Well-established consultancy driving high-impact data transformation in Central London.
  • Benefits: Competitive rate of £450/day, hybrid work model, and potential for contract extension.
  • Other info: Exciting opportunity for career growth in a dynamic, collaborative environment.
  • Why this job: Join a major Azure-led project and make a real impact in data engineering.
  • Qualifications: Experience with Azure Data Factory, Databricks, and SQL; consultancy experience preferred.

Rate - up to £450/day Outside IR35

Location - 2 days a week onsite in Central London

Duration - 6 Months + Likely Extension

We are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London. They are seeking an experienced Azure Data Engineer to join the project on an initial 6-month contract, with strong potential for extension. This role is Outside IR35 and offers £450/day, requiring 2 days onsite per week in Central London.

Key Responsibilities - Azure Data Engineer:
  • Design, build and maintain scalable and secure data pipelines on the Azure platform.
  • Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics.
  • Optimise ETL/ELT processes to improve performance, reliability and efficiency.
  • Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs.
  • Collaborate with Data Architects, Analysts, and stakeholders to define data models and ensure best practices in data engineering.
  • Ensure compliance with data governance and security policies (incl. GDPR and ISO standards).
Required Skills & Experience - Azure Data Engineer:
  • Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in Azure
  • Azure Data Factory
  • Azure Databricks (PySpark)
  • Azure Synapse Analytics
  • Azure Data Lake Storage (Gen2)
  • SQL & Python
  • Understanding of CI/CD in a data environment, ideally with tools like Azure DevOps.
  • Experience working within consultancy or client-facing projects is highly desirable.

Interested? Apply now with your CV or reach out to discuss the opportunity further. This is a highly sought-after role for a consultant who wants to contribute to a major Azure-led data transformation programme.

Azure Data Engineer - £450/day Outside IR35 - 6 Months - Hybrid employer: Involved Solutions

Join a well-established consultancy that values innovation and collaboration, offering an exciting opportunity for Azure Data Engineers to contribute to a high-impact data transformation programme in the heart of Central London. With competitive rates and a hybrid work model, employees benefit from a dynamic work culture that fosters professional growth and development, while enjoying the vibrant atmosphere of one of the world's leading cities.

Involved Solutions

Contact Details:

Involved Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Azure Data Engineer - £450/day Outside IR35 - 6 Months - Hybrid

Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Factory and Databricks. This will give potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on common data engineering questions. Be ready to discuss your experience with ETL processes and how you've optimised them in past roles.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!

We think you need these skills to ace Azure Data Engineer - £450/day Outside IR35 - 6 Months - Hybrid

Azure Data Factory
Azure Databricks (PySpark)
Azure Synapse Analytics
Azure Data Lake Storage (Gen2)
SQL
Python
ETL/ELT Optimisation

Some tips for your application 🫡

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

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing enthusiasm and a clear understanding of the data transformation programme we’re working on.

Showcase Your Technical Skills:Be specific about your technical expertise in SQL, Python, and CI/CD processes. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and keep track of all the amazing candidates. We can’t wait to hear from you!

How to prepare for a job interview at Involved Solutions

Know Your Azure Stuff

Make sure you brush up on your Azure Data Factory, Databricks, and Synapse Analytics knowledge. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.

Showcase Your Problem-Solving Skills

Prepare to talk about how you've optimised ETL/ELT processes in the past. Think of examples where you improved performance or reliability, and be ready to explain your thought process and the impact of your solutions.

Understand Data Governance

Familiarise yourself with data governance policies, especially GDPR and ISO standards. Be prepared to discuss how you've ensured compliance in previous roles, as this is crucial for the consultancy's clients.

Collaboration is Key

Since you'll be working closely with Data Architects and Analysts, think of examples that highlight your teamwork skills. Be ready to share how you’ve collaborated on data models and ensured best practices in data engineering.