BNY fournit des services de conservation de titres, d'administration d'actifs, de paiement et de gestion d'investissements.
Senior Specialist, Full-Stack Engineer
Am I a fit — voir ma compatibilitéBNY recherche un Full-Stack Engineer Senior Specialist au sein de l’équipe Finance Hub à Manchester. Le poste couvre le développement logiciel de bout en bout, la conception de solutions évolutives et les flux ETL et de reporting réglementaire. Python, Oracle, PySpark, HDFS, SQL et Airflow sont notamment requis.
Repères sur BNY
- Domaine officiel
- bny.com
- Offres ouvertes
- 98
Détails de l’offre
La description complète publiée par BNY.
Description de l’offre
We’re seeking a future team member for the role of Full-Stack Engineer (Senior Specialist) to join our Finance Hub team. This role is located in Manchester.
Role Overview
The role focuses on strong data analysis skills, logical thinking, problem solving, and system design to develop scalable solutions/ AI-enabled capabilities across data platforms and applications.
The ideal candidate
is comfortable working across the full lifecycle of software development
- from gathering requirements, design , build & implement. In this role, you’ll make an impact in the following ways:
- Define source-to-target mapping, lineage, and data quality rules
- Oversee ETL design in Oracle; ensure control points (reconciliations, validations)
- Partner with Axiom team for model point alignment and submission readiness
- Drive UAT planning, execution, and production cutover
- Stakeholder communication, status, and risk/issue management To be successful in this role, we’re seeking the following:
- Education: Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field
- Experience in software development; experience in the financial services industry is a plus -
Skills
- Strong Python, HDFS, Oracle database knowledge
- Hands-on experience with Axiom (plus) and regulatory reporting flows (plus)
- Excellent communication; proven stakeholder engagement
- Ability to learn/adapt to new technologies
- Skilled PySpark, HDFS, SQL, Airflow, data modeling, and ETL processing.
- Familiarity with GitLab and Jupyter Notebook is preferred, and knowledge of Java will be considered an added advantage.
Prérequis
- Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field
- Excellent communication
- proven stakeholder engagement
- Ability to learn/adapt to new technologies