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- Tasks: Build and maintain data pipelines using Azure Databricks and ensure data quality.
- Company: Join a leading tech firm in London with a focus on innovation.
- Benefits: Competitive pay, flexible onsite work, and opportunities for professional growth.
- Other info: Work in a collaborative team with excellent career advancement potential.
- Why this job: Make an impact by optimising data processes in a dynamic environment.
- Qualifications: Experience with Azure Databricks, Spark, and strong programming skills required.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Role Title: Data Engineer – SFIA Experience
Location: London – Onsite 2/3 days a week
Duration: 31/12/2025
Pay Rate: £306 Inside of IR35
MUST BE PAYE THROUGH UMBRELLA
Role Description:
Objective: Build and maintain data pipelines and infrastructure to support data storage and processing.
Key Responsibilities:
- Design, develop, and optimize data pipelines using Azure Databricks.
- Ensure data reliability, scalability, and quality.
- Integrate data sources into a unified platform.
- Monitor and troubleshoot data workflows.
Skills Required:
- Expertise in Azure Databricks, Spark, and big data tools.
- Strong programming skills (eg, Python, Scala, SQL).
- Knowledge of ETL processes and cloud technologies.
- Familiarity with CI/CD practices for data pipelines.
Carbon60, Lorien & SRG – The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Data Engineer - SFIA Experience employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - SFIA Experience
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field, especially those who work with Azure Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects using Azure Databricks. 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 programming skills, especially Python, Scala, and SQL. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.
✨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 noticed by the right people.
We think you need these skills to ace Data Engineer - SFIA Experience
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks, Spark, and big data tools. 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 passionate about data engineering and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Technical Skills: When listing your programming skills, be specific! Mention your proficiency in Python, Scala, and SQL, and any experience with ETL processes or CI/CD practices. We love seeing concrete examples of your work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Lorien
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Databricks, Spark, and big data tools. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Programming Skills
Prepare to demonstrate your programming prowess in Python, Scala, or SQL. You might be asked to solve a coding problem on the spot, so practice common algorithms and data manipulation tasks beforehand.
✨Understand ETL and CI/CD Processes
Familiarise yourself with ETL processes and cloud technologies. Be prepared to explain how you've implemented these in past roles, and how they contribute to data reliability and scalability.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data infrastructure and team dynamics. This shows your genuine interest and helps you assess if it's the right fit for you.