Posted on: 25/03/2026
Description :
We are hiring for a mid-level Data Engineer role with a leading investment management firm focused on building scalable analytics platforms.
The role involves owning data pipelines, transformation logic, and reporting datasets within a cloud-based Microsoft Fabric environment.
You will work closely with senior engineers and business stakeholders to deliver high-quality, reliable data solutions for analytics and reporting.
Key Responsibilities :
- Build and maintain scalable ELT/ETL data pipelines in a cloud environment
- Develop and optimise data models, transformations, and reporting datasets
- Manage pipeline orchestration using Microsoft Fabric, Azure Data Factory, or similar tools
- Ensure data quality, monitoring, and reliability of pipelines
- Design and maintain Power BI datasets, reports, and semantic models
- Collaborate with business stakeholders to translate analytics requirements into data solutions
Ideal Candidate Profile :
- 4 to 8 years of experience in Data Engineering or Analytics Engineering
- Strong proficiency in SQL and working knowledge of Python
- Hands-on experience with cloud data platforms (Azure preferred)
- Experience with Power BI, including semantic layer and reporting
- Solid understanding of data modelling, partitioning, and incremental loads
- Prior exposure to financial services or investment data is a plus
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