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- Tasks: Build scalable, real-time data products for investment decisions using Azure tools.
- Company: Join a leading global investment firm with a high-performing Data & AI team.
- Benefits: Enjoy a great benefits package and a discretionary bonus of 20-30%.
- Why this job: Make a significant impact on investment decisions while working with modern tech in a supportive culture.
- Qualifications: 5-8 years of data engineering experience with deep Azure expertise and strong Python, SQL skills.
- Other info: Work from the Knightsbridge office 4-5 days a week.
The predicted salary is between 48000 - 72000 £ per year.
I’m working with a leading global investment firm looking to expand its high-performing Data & AI team. They’re hiring a Senior Data Engineer to take ownership of building scalable, real-time data products that directly support high-value investment decisions. In this role, you’ll work across global teams to design and deliver robust data pipelines using the latest Azure tools — including Fabric, Event Hubs, Synapse, and Power BI. You’ll lead on architecture, automate deployment, and help define how data is used across the business.
What You’ll Bring:
- 5–8 years of hands-on data engineering experience
- Deep Azure expertise (Fabric, Synapse, Event Hubs, Data Factory)
- Strong skills in Python, SQL, Spark, and CI/CD with Azure DevOps or GitHub
- A collaborative, solution-focused mindset with strong communication skills
Why This Role?
- High-impact work shaping major investment decisions
- Autonomy, ownership, and support from a global team
- Modern tech stack, exciting growth, and a strong engineering culture
- You will be required to work from their Knightsbridge office 4-5 days a week
- Great benefits package as well as discretionary bonus typically 20-30%
Sound like a fit? Apply now or drop me a message for more details.
Data Engineer employer: Deltra Group
Contact Detail:
Deltra Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific Azure tools mentioned in the job description, such as Fabric, Event Hubs, and Synapse. Having hands-on experience or projects that showcase your skills with these technologies will make you stand out during discussions.
✨Tip Number 2
Network with current employees or professionals in the Data & AI field, especially those who work with investment firms. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've built scalable data products or automated deployment processes. Being able to articulate your past experiences clearly will demonstrate your capability to take ownership of similar projects.
✨Tip Number 4
Showcase your collaborative mindset by highlighting any team projects or cross-functional collaborations you've been part of. This role values strong communication skills, so be ready to share examples of how you've effectively worked with diverse teams.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5-8 years of data engineering experience, particularly focusing on your expertise with Azure tools like Fabric, Synapse, and Event Hubs. Use specific examples to demonstrate your skills in Python, SQL, and Spark.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your collaborative mindset and strong communication skills will contribute to the high-performing Data & AI team. Mention your experience in building scalable, real-time data products.
Showcase Relevant Projects: If you have worked on projects that involved CI/CD with Azure DevOps or GitHub, make sure to include these in your application. Highlight any specific achievements or challenges you overcame that relate to the responsibilities of the role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at Deltra Group
✨Showcase Your Azure Expertise
Make sure to highlight your hands-on experience with Azure tools like Fabric, Synapse, and Event Hubs. Prepare specific examples of projects where you've successfully implemented these technologies to demonstrate your deep understanding.
✨Demonstrate Your Coding Skills
Be ready to discuss your proficiency in Python, SQL, and Spark. You might be asked to solve coding problems or explain your approach to data manipulation, so brush up on your technical skills and be prepared to showcase your thought process.
✨Emphasise Collaboration and Communication
Since this role involves working across global teams, it's crucial to convey your collaborative mindset. Share examples of how you've effectively communicated and worked with others to achieve common goals in previous roles.
✨Prepare for Architectural Discussions
As you'll be leading on architecture, be prepared to discuss your approach to designing scalable data pipelines. Think about the challenges you've faced in past projects and how you overcame them, as well as your strategies for automating deployment.
