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Engineering Manager(PLSQL, Python , AWS)

Engineering Manager(PLSQL, Python , AWS)

Fidelity International
7-9 Years
Not Disclosed

This job is no longer accepting applications

Job Description

Essential Skills and Experience

• 7+ years of experience in data or software engineering, with at least 2+ years in a leadership or management role

• Demonstrated success in leading teams to deliver business-critical projects on time and within scope

• Strong stakeholder management skills, with experience in communicating timelines, trade-offs, and decisions across technical and non-technical audiences

• Proven ability to prioritize competing demands, manage dependencies, and drive alignment across multiple teams

• Excellent people leadership skills, with a track record of mentoring, developing, and motivating engineers

• Experience improving delivery processes and fostering a culture of accountability and excellence

• Familiarity with Agile methodologies and iterative delivery practices

• Knowledge of investment management industry concepts, particularly security reference data, fund reference data, transactions, orders, holdings, different asset classes and fund accounting

Desirable Skills and Experience

• Experience managing data engineering teams across both traditional database systems and cloud-based platforms

• Background in delivering large-scale data migration or modernization initiatives within complex organizations

• Familiarity with data governance, security, and compliance considerations in financial services

• Track record of building and scaling high-performing, delivery-focused engineering teams

• Ability to champion innovation and adoption of new practices, tools, and delivery models

• Experience of front office investment risk and/or analytics systems

More Info

Job Type:
Industry:
Employment Type:

Key Skills

modernization initiatives

investment management industry concepts

traditional database systems

front office investment risk

fund reference data

different asset classes

security and compliance

security reference data

holdings

cloud-based platforms

large-scale data migration

analytics systems

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