At a Glance
- Tasks: Develop data pipelines and AI solutions to enhance business operations.
- Company: Dynamic London-based Asset Manager with a focus on technology.
- Benefits: Attractive salary, bonuses, and comprehensive benefits package.
- Other info: Fast-paced environment with minimal bureaucracy and great growth potential.
- Why this job: Join a small team where your work directly impacts the business.
- Qualifications: 3-7 years in data engineering, strong SQL, and cloud platform experience.
The predicted salary is between 50000 - 70000 £ per year.
A London-based Asset Manager is seeking a Junior Data & AI Engineer to join its growing technology team.
This is an excellent opportunity for someone with 3–7 years' experience in data engineering, strong SQL skills and exposure to modern cloud data platforms such as Snowflake, Microsoft Fabric or similar.
You'll support the development of data pipelines, automation solutions and AI-enabled capabilities, working closely with business stakeholders to improve data quality and operational efficiency.
Experience with Python, Power BI or Azure technologies would be advantageous, along with an interest in applying AI to real-world business challenges.
Excellent salary, bonus and benefits package.
This is a great opportunity in a small but highly specialised investment manager, the scale of the business allows for quick decision making, limited bureaucracy and hierarchy and the ability to impact across the business.
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Data & AI Engineer - Investment Management employer: Qh4 Consulting
Join a leading global investment management firm that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the investment lifecycle. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technology like Aladdin, all while enjoying a supportive environment that prioritises data integrity and quality. Located in a vibrant financial hub, this role not only promises meaningful work but also the chance to be part of a team that drives excellence in investment data management.
