Data Engineer is sought to take ownership for developing, constructing, and testing large-scale data processing systems based on Oracle, Azure cloud and Snowflake that will help address the disparate data consumption/integration/operation challenges of a financial services organization.

Client Details

Our Global client is a growing Asset Management business that provides clients with high quality long-term investment capabilities managed by independent, specialist teams. With circa 1,000 employees, they are growing their data engineering function with the aim of getting the most from their data.

The Data Engineering team is looking for people who are passionate about working in agile delivery environments and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

You will be responsible for developing, constructing, and testing large-scale data processing systems based on Oracle, Azure cloud and Snowflake that will help address the disparate data consumption/integration/operation challenges of a financial services organization.

Through close partnership with investment professionals, you will see firsthand how your contribution is delivering long-term value to key business stakeholders like the portfolio managers, performance, and compliance teams. You are encouraged to bring an entrepreneurial, innovative mindset to tackle complex business requirements in the investment industry.

Description

You will be expected to perform the following tasks in a manner consistent with core company values, manage workload, work collaboratively with other team members, and engage with business stakeholders at all levels:

• Design solutions aligned with long-term architecture and technology strategy using on-prem and cloud technologies
• Participate in the development life cycle from start to completion - requirements analysis, development, testing, and deployment.
• Work in a fast-paced environment collaborating with developers, data engineers and architects
• Ensure solutions will fit in with the wider technical aims of the business
• Prepare, transform, combine, and manage structured and unstructured data for use by business users.
• Recommend ways to improve data reliability, efficiency, and quality

Profile

• Commercial expeirence in a business intelligence or data engineering role
• Proficiency in SQL
• Experience of ETL pipelines, managing multiple datasets and providing necessary support
• Familiar with cloud technology best practices to enable the distribution and analysis of data on the cloud
• Awareness of building applications in an Azure environment
• Skilled in one or more analytic tools such as Power BI or Tableau
• An understanding of CI/CD pipelines and experience with DevOps
• Experience building flexible solutions that can adapt quickly to changing requirements
• Good understanding of Fund/Financial Asset Management domain

Job Offer

A competitive salary and comprehensive benefits package in alignment with experience

Flexible working hours and location to suit the modern work environment

Training and development

Opportunity to shape the data function of a growing AM business