At a Glance
- Tasks: Design and optimise data pipelines using Azure services and Python.
- Company: Join a leading tech hub in London with a focus on innovation.
- Benefits: Competitive day rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and technical leadership.
- Why this job: Make an impact in the banking sector while working with cutting-edge technologies.
- Qualifications: Active SC Clearance and strong skills in SQL, Python, and Azure.
The predicted salary is between 60000 - 84000 € per year.
This role is for a Data Engineer with active SC Clearance, offering a 6‑month hybrid contract in London at £300/day.
Location: London - Hybrid (3 days on-site)
Contract Length: 6 months
Day Rate: £300.00 (Outside IR35)
Key Skills & Experience:
- Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory.
- Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing.
- Proven experience in CI/CD practices using industry‑standard tools (e.g., GitHub Actions, Azure DevOps).
- Strong understanding of data architecture principles and cloud‑native design patterns.
- Demonstrated ability to lead technical delivery, mentor engineering teams and collaborate with stakeholders to ensure alignment between data solutions and business strategy.
- Proficiency in Linux/Unix environments and shell scripting.
- Deep understanding of source control, testing strategies, and agile development practices.
- Self‑motivated with a strategic mindset and a passion for driving innovation in data engineering.
- Experience delivering data pipelines on Hortonworks/Cloudera on‑prem and leading cloud migration initiatives.
- Apache Airflow.
- Data modelling and metadata management.
- Experience influencing enterprise data strategy and contributing to architectural governance.
Qualifications:
- Active SC Clearance.
- Banking domain experience highly beneficial.
- Strong technical leadership and mentorship skills.
Data Engineer - SC Clearance - 6 Months - Hybrid employer: Data Freelance Hub
At Data Freelance Hub, we pride ourselves on being an exceptional employer that values innovation and collaboration in the fast-paced world of data engineering. Our hybrid work model allows for flexibility while working in the vibrant city of London, providing opportunities for professional growth and development within a supportive community. With a focus on mentorship and technical leadership, we empower our engineers to drive impactful data solutions that align with business strategies, making every project a meaningful experience.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - SC Clearance - 6 Months - Hybrid
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those with banking experience. 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 projects with Azure, SQL, and Python. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a range of freelance roles that could be perfect for you. Plus, it’s a great way to get noticed by hiring managers who value direct applications.
We think you need these skills to ace Data Engineer - SC Clearance - 6 Months - Hybrid
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Azure services, SQL, Python, and Spark in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention your banking domain experience if you have it, and relate your past projects to the key skills listed in the job description. It helps us see why you're a great fit!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to make your achievements stand out!
Apply Through Our Website:Don’t forget to apply directly 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 Data Freelance Hub
✨Know Your Tech Inside Out
Make sure you brush up on your Azure services, SQL, Python, and Spark skills. Be ready to discuss specific projects where you've used these technologies, especially in a banking context. The more detailed examples you can provide, the better!
✨Showcase Your Leadership Skills
Since this role requires strong technical leadership, think of instances where you've led teams or mentored others. Prepare to share how you’ve aligned data solutions with business strategies and how you’ve influenced enterprise data strategy.
✨Familiarise Yourself with CI/CD Practices
Get comfortable talking about your experience with CI/CD tools like GitHub Actions and Azure DevOps. Be prepared to explain how you've implemented these practices in past projects and the impact they had on performance and efficiency.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data engineering, particularly around cloud migration or data pipeline delivery, and how you overcame them.
