Senior Data Platform Engineer

Asset Management Technology | Equity Research

About the Company

Our client is a global leader in investment management and financial services, delivering innovative technology solutions that support investment professionals and portfolio managers worldwide. Their Asset Management Technology team partners closely with Equity Research to develop critical platforms that enable data-driven investment decisions across the organisation.

About the Role

We are seeking an experienced Senior Data Platform Engineer to join the Asset Management Technology team supporting Equity Research. This is a unique opportunity to take ownership of a business-critical financial data reporting and visualisation platform used by senior financial analysts, portfolio managers and executive leadership.

You will be responsible for designing, developing and maintaining a complex data platform that processes, analyses and visualises financial data, while modernising legacy scripting environments and introducing engineering best practices across CI/CD, automation and platform reliability.

This role is ideal for someone who enjoys solving complex technical challenges, working closely with business stakeholders and driving the evolution of enterprise data platforms.

Key Responsibilities

• Take end-to-end ownership of a critical financial data reporting and visualisation platform.
• Design, develop and maintain scripts that collect, transform, store and visualise financial data.
• Build scalable reporting and visualisation solutions that support senior investment professionals and business leaders.
• Work closely with financial analysts, portfolio managers and business stakeholders to understand reporting requirements and translate them into technical solutions.
• Modernise legacy scripting environments while maintaining stability of existing business-critical reporting.
• Develop and optimise SQL queries, relational database structures and data models.
• Implement CI/CD pipelines, automated deployments and engineering best practices.
• Improve platform monitoring, performance, quality standards and operational reliability.
• Collaborate with technology teams to enhance reusable tooling and automation capabilities.
• Provide technical leadership and contribute to the long-term evolution of the reporting platform.

Required Skills & Experience

• 7+ years' experience in Software Engineering, Data Engineering or Data Platform Engineering.
• Strong Linux administration experience, including networking, processes, filesystems, cron and systemd.
• Strong Shell scripting experience (Bash, KSH or ZSH).
• Strong SQL skills with experience designing and optimising relational databases.
• Experience developing data visualisation and reporting solutions.
• Solid understanding of data analysis, statistical concepts and data engineering principles.
• Experience working with Git, CI/CD pipelines and automated deployment processes.
• Excellent analytical, communication and stakeholder management skills.
• Experience modernising legacy platforms and scripting environments.
• Knowledge of ETL pipelines, APIs, message queues or workflow orchestration tools.
• Experience working within cloud platforms such as AWS, Azure or Google Cloud.
• Python development for automation, APIs or machine learning workflows.
• Experience building reusable frameworks, libraries or internal engineering tools.
• Previous experience within financial services, investment management or capital markets.

What's on Offer

• Opportunity to own and modernise a business-critical enterprise data platform.
• Work directly with senior investment professionals and technology leaders.
• Highly collaborative engineering environment with significant technical ownership.
• Exposure to modern cloud, automation and DevOps practices.
• Long-term career progression within a global technology organisation.