Senior Data Engineer

Overview Phitopolis International Corp. is an IT company based in BGC, Taguig. We were established by a US-based Hedge Fund in 2019 to provide global 24/7 services. We engage our sponsors in the fields of Financial Quantitative Research, Data Science and Engineering, DevOps, Applications Development, and High-Performance Computing. We are looking for smart, self-motivated, and hardworking individuals to join us and grow with the company. About the Role Phitopolis is seeking a highly analytical and strategic Senior Financial Data Engineer to join our team. In this role, you will design, develop, and deploy data solutions and data pipelines while ensuring data accuracy and integrity. You will work with cross-functional teams, including quantitative researchers and business stakeholders, to transform complex financial market data into clear, actionable insights that guide decision-making and automated trading strategies on a global scale. Scope and Responsibilities Manage and mentor a team in designing, building, and optimizing data pipelines and ETL solutions to support quantitative research and trading. Implement rigorous quality and validation checks to ensure the highest level of data integrity and accuracy across all financial datasets. Create and maintain dashboards and reporting tools that provide real-time insights into key financial and market metrics. Collaborate with research and business leaders to understand their data needs and translate them into actionable analytics projects and valuable datasets. Manage application deployment, development, data extraction, and support for data-focused products. Present complex analytical findings and strategic recommendations to senior leadership and stakeholders. Qualifications 7+ years of experience working with Financial Market Data. Working knowledge of Financial Products such as Equities, FX, and associated derivatives. Proven experience in designing, building, and deploying software solutions and data-related software, preferably in Python. Knowledge on Linux, AWS, Databases (document DB and RDBMS), and Docker Expertise in data investigation (Exploratory Data Analysis) and data visualization. Excellent communication skills, with the ability to simplify and explain complex data concepts to diverse audiences. Experience in Finance, Investment Banking, or Buy-Side investment data. A keen eye for data quality and a commitment to ensuring the correctness of dataset delivery. Willing to work daily at our BGC office Advanced degree in Finance, Economics, Data Science, Computer Science, or a related field. Strong knowledge of object-oriented concepts, data structures, and algorithms. Background in advanced spreadsheet formulas and/or data visualization tools. Experience with predictive analytics, machine learning techniques, and financial modeling. Technical Skills and Relevant Technologies Expert-level proficiency in Python and advanced data analysis libraries. Extensive experience in financial modeling and analysis tools. Deep expertise in Linux, AWS, Docker, and various databases (e.g., document DB, RDBMS). Soft Skills and Cultural Fit Strong analytical mindset with a passion for using data to drive business strategy. Proactive problem-solver who thrives in a fast-paced, team-based environment. Exceptional attention to detail and a steadfast commitment to data accuracy. Proven ability to work collaboratively across teams and influence stakeholders at all levels, with experience in managing and mentoring teams. Ability to communicate complex information clearly in verbal and written English. A willingness to continuously learn new technologies and expand knowledge of the business domain. #J-18808-Ljbffr