At a Glance
- Tasks: Design and build scalable data pipelines on Azure for a high-impact transformation project.
- Company: Well-established consultancy with exciting projects in Central London.
- Benefits: Competitive rate of £450/day, flexible work schedule, and potential for contract extension.
- Other info: Collaborative environment with opportunities to work alongside industry experts.
- Why this job: Join a major Azure-led data transformation and make a real impact in the tech industry.
- Qualifications: Experience in Azure Data Factory, Databricks, SQL, and Python required.
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 Senior 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 - Senior 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).
- Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in Azure
- Azure Data Factory
- Azure Databricks (PySpark)
- 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.
Senior Azure Data Engineer - Data Transformation (Contract) employer: Involved Solutions
Join a leading consultancy renowned for its commitment to innovation and excellence in data transformation. With a vibrant work culture that fosters collaboration and professional growth, this role offers the unique opportunity to work on high-impact projects in the heart of Central London. Enjoy competitive rates, flexible working arrangements, and the chance to enhance your skills while contributing to transformative solutions in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Azure Data Engineer - Data Transformation (Contract)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure or data engineering. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving Azure Data Factory and Databricks. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've optimised ETL processes or integrated data sources in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Azure Data Engineer - Data Transformation (Contract)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure Data Factory, Databricks, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects you've worked on!
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 Senior Data Engineer role. Share specific examples of your past work that align with the responsibilities listed in the job description.
Showcase Your Problem-Solving Skills:In your application, highlight instances where you've optimised ETL/ELT processes or integrated multiple data sources. We love seeing how you tackle challenges and improve performance in your projects!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. 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 designed and built data pipelines, as well as any challenges you faced and how you overcame them.
✨Showcase Your ETL/ELT Skills
Prepare to talk about your experience with optimising ETL/ELT processes. Have examples ready that demonstrate how you've improved performance and reliability in past projects, as this will show your practical understanding of the role.
✨Collaboration is Key
Since this role involves working closely with Data Architects and Analysts, be ready to discuss how you've collaborated in previous roles. Highlight any successful teamwork experiences and how you ensured best practices in data engineering were followed.
✨Understand Compliance and Security
Familiarise yourself with data governance and security policies, especially GDPR and ISO standards. Be prepared to explain how you've ensured compliance in your past work, as this is crucial for the consultancy's reputation and client trust.
