
Transforming Financial Futures as a Data Engineering Leader
4 days ago
About this role
As a Senior Investment Data Engineer, you will drive technology and data uplift in a leading investment management firm. This position combines quant analytics with engineering to develop well-structured data solutions for efficient access to high-quality data.
This role involves defining cloud architecture, modernizing data pipelines, and scaling infrastructure to handle large volumes of market data.
You'll work closely with portfolio managers and researchers to ensure seamless data accessibility and integration for decision-making.
Daily Responsibilities- Migrate data infrastructure from on-prem to Snowflake, ensuring optimal performance and best practices.
- Design and implement scalable data pipelines to process large investment data sets.
- Implement and manage Airflow, Dagstar, Spark, or similar tools for automated workflows and distributed computing.
- Develop methodologies to efficiently manage and structure large-scale data.
- Define and execute long-term infrastructure strategies to support investment data needs.
- Collaborate with portfolio managers and researchers, attending research meetings to align data solutions with business needs.
- A minimum of 5 years experience in data engineering, focusing on designing and implementing data architectures.
- Strong Python & SQL skills, particularly for data pipeline automation and querying large datasets.
- MUST HAVE experience in implementing Snowflake and AI / ML models for quantitative analytics.
- Nice to have an interest in Quantitative finance or AI models for investment strategies.
- Expertise in Azure Cloud and Snowflake for data architecture and processing.
- Experience working with market data feeds and investment-related datasets.
- Strong working knowledge of Equities, Derivatives, Fixed Income, or other asset classes.
We're looking for someone who can bridge technical knowledge gaps, introduce new methodologies, and drive innovation in this forward-thinking investment team.
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