Senior Data Engineer - £450/day Outside IR35 - 6 Months

Senior Data Engineer - £450/day Outside IR35 - 6 Months

Freelance Home office (partial)
Involved Solutions

At a Glance

  • Tasks: Design and maintain scalable data pipelines on Azure, optimising ETL processes.
  • Company: Well-established consultancy driving a high-impact data transformation programme.
  • Benefits: Competitive rate of £450/day, outside IR35, with potential for extension.
  • Other info: Work 2 days a week onsite in Central London with excellent career growth opportunities.
  • Why this job: Join a major Azure-led project and make a significant impact in data engineering.
  • Qualifications: Experience with 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).
Required Skills & Experience - Senior Data Engineer:
  • 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 Data Engineer - £450/day Outside IR35 - 6 Months 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, all while enjoying competitive rates and flexible working arrangements. Embrace the chance to enhance your skills in a supportive environment that values your contributions and encourages career advancement.

Involved Solutions

Contact Details:

Involved Solutions Recruitment Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at consultancies. A personal recommendation can make all the difference.

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 your technical knowledge and soft skills. Be ready to discuss your experience with ETL processes and how you've optimised data pipelines in past roles.

Tip Number 4

Don't forget to apply through our website! We have loads of opportunities that might be perfect for you, and applying directly can sometimes speed up the process.

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

Azure Data Factory
Azure Databricks (PySpark)
SQL
Python
Data Pipeline Design
ETL/ELT Optimisation
Data Integration

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 Consultancy Experience:If you’ve worked in consultancy or client-facing roles before, make sure to highlight that experience. We value collaboration and communication skills, so let us know how you've successfully worked with stakeholders in the past.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!

How to prepare for a job interview at Involved Solutions

Know Your Tech Inside Out

Make sure you’re well-versed in Azure Data Factory, Databricks (PySpark), and SQL. Brush up on your knowledge of data pipelines and ETL/ELT processes, as you’ll likely be asked to discuss your experience with these tools and how you've optimised them in past projects.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in previous roles and how you tackled them. This is especially important in consultancy settings where problem-solving is key. Think about times when you had to integrate multiple data sources or improve performance.

Understand the Business Context

Research the consultancy and their end client’s business model. Understanding their data transformation goals will help you align your answers with their needs. Be ready to discuss how your skills can contribute to their specific objectives and compliance with data governance policies.

Ask Insightful Questions

Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current data challenges, team dynamics, or future projects. This not only demonstrates your enthusiasm but also helps you gauge if the role is the right fit for you.