Our client is one of the largest buy-side firms globally. Due to business needs, a Senior Data Analytics Engineer is needed to join them on a 1-year contract.
As the Senior Data Analytics Engineer, you will be responsible for creating and implementing a modern data stack that supports the new enterprise data management initiative.
You will need to collaborate with members of our investment, finance, risk, and technology teams to ensure that our data platform is robust in providing timely and accurate information which is crucial for making informed investment decisions across different strategies.
Your expertise will help the firm to process data across a wide range of internal and external data sources, producing modern data products for an efficient data driven global organization.
This is an extraordinary opportunity to work for a leading APAC alternative investment firm that is in the early phase of a digital transformation journey, ideal for passionate data practitioner to join the team and shape the use of data in the modern cloud era.
Responsibilities
• Data Model Development: Design, build, and maintain enterprise data models to support analytic needs across strategies. In financial EDM tools and/or Cloud warehouse such as Snowflake
• Reporting Development: Design, develop, and support reports and dashboards within an enterprise reporting environment to support data analysis and AI.
• Data Pipeline Development: Design, build, and optimize data pipelines that extract, load, and transform (ELT) data from different financial services systems and fund administrators into data lake and data warehouse.
• Data Source Integration: Integrate diverse data sources from complex portfolio management systems and financial management systems into a unified data ecosystem.
• Data Transformation: Transform and cleanse raw data into structured and usable formats, ensuring data quality and consistency using data tools such as (DBT, Python, ADF)
• Data Workflow Automation: Design and implement automated data flow for ongoing data quality and governance processes to support smooth data operations.
• Data Product Design: Provide data analytics requirements and solution design to create modern data products and experiences.
• Collaboration: Empower the business with robust reporting and analytics capabilities.
Requirements
• Experience Financial Services industry (fund house or asset management preferred)
• Desire to learn and understand the business
• Bachelors degree in computer science, engineering, or related field
• In-depth knowledge of data analytics and engineering principles and best practices
• Proven experience as a data analyst or similar role
• Strong in SQL and Python to handle complex transformation and queries
• Experience with cloud platforms such as Azure, AWS
• Experience with coding in Python / C# / Java
• Experience in using VS Code, GIT, work in a DevOps and DataOps environment
• Confident in working with tools such as Snowflake, DBT, Anaplan, PowerBI, Power Query, M, DAX, Tableau, Airflow