Data Engineer

We are seeking a highly skilled Senior Data Platform Engineer to join a dynamic delivery team within our Asset Management Technology group, supporting Equity Research. This is a high-impact role focused on building and evolving a financial data visualization and reporting platform used by senior analysts, portfolio managers, and executive leadership. You will take end-to-end ownership of a critical reporting engine-designing, developing, maintaining, and modernizing systems that sit at the core of investment decision-making. What You’ll DoOwn and enhance a mission-critical financial reporting platformDesign and implement data pipelines, transformation logic, and visualization toolsDevelop scripts and workflows to parse, process, and present financial dataPartner closely with research analysts and business stakeholders to translate requirements into meaningful insightsMaintain and modernize a legacy scripting ecosystem while ensuring stability and accuracyImplement CI/CD pipelines, monitoring, and automation to improve reliability and scalabilityDrive continuous improvement in data quality, performance, and usabilityRequired Skills & Experience7+ years of experience in software development or data engineeringStrong expertise in Linux systems (processes, networking, filesystem, cron, systemctl)Advanced shell scripting (bash, ksh, zsh)Professional experience with Python, Perl, or similar scripting languagesSolid understanding of data analysis, statistics, and data science conceptsStrong SQL skills with experience in schema design and query optimizationExperience with data visualization and charting toolsFamiliarity with Git, CI/CD pipelines, and automated deploymentsNice to HaveExperience modernizing legacy systems or scripting environmentsKnowledge of ETL pipelines, APIs, message queues, or workflow orchestration toolsExposure to cloud platforms (AWS, Azure, or GCP)Python experience in data automation, APIs, or machine learning workflowsExperience building internal tools or reusable libraries