At a Glance
- Tasks: Build robust data pipelines and mentor engineering teams in a dynamic environment.
- Company: Leading data recruitment firm in the UK with a focus on innovation.
- Benefits: Competitive day rate of £300, hybrid work model, and outside IR35 regulations.
- Why this job: Join a cutting-edge team and make an impact in the banking domain.
- Qualifications: Active SC Clearance, experience with Azure, SQL, Python, and CI/CD skills.
- Other info: 6-month contract with excellent opportunities for professional growth.
The predicted salary is between 72000 - 108000 £ per year.
A leading data recruitment firm in the UK is seeking a Data Engineer with active SC Clearance for a 6-month hybrid contract in London. The ideal candidate must have extensive experience with Azure services, SQL, and Python, along with proven CI/CD skills. Experience in the banking domain is beneficial.
This role involves delivering robust data pipelines and mentoring engineering teams while working part-time on-site. A competitive day rate of £300 awaits, outside IR35 regulations.
SC-Clearance Data Engineer: Azure, Spark & DataOps (London) employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SC-Clearance Data Engineer: Azure, Spark & DataOps (London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those with SC Clearance. 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 Azure projects, SQL queries, and Python scripts. 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 CI/CD knowledge. Be ready to discuss how you've implemented these practices in past roles, especially in the banking domain if you have that experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like 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 SC-Clearance Data Engineer: Azure, Spark & DataOps (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, SQL, and Python. We want to see how your skills match the job description, so don’t be shy about showcasing your CI/CD expertise!
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 Data Engineer role. Mention your SC Clearance and any relevant banking experience to grab our attention.
Showcase Your Projects: If you've worked on any data pipelines or projects that demonstrate your skills, include them in your application. We love seeing real-world examples of your work, especially if they relate to Azure and DataOps!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Tech Inside Out
Make sure you brush up on your Azure services, SQL, and Python skills. Be ready to discuss specific projects where you've used these technologies, especially in the context of building data pipelines. The more detailed you are, the better!
✨Show Off Your CI/CD Knowledge
Since this role requires proven CI/CD skills, prepare to explain your experience with continuous integration and deployment processes. Think about how you've implemented these practices in past roles and be ready to share examples.
✨Banking Experience is a Plus
If you have any experience in the banking domain, make sure to highlight it during the interview. Discuss how your background can add value to the team and the projects they’re working on.
✨Be Ready to Mentor
This role involves mentoring engineering teams, so think about your leadership style and how you’ve supported others in their development. Prepare some anecdotes that showcase your ability to guide and inspire your colleagues.