Fidelity International
Financial Services
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Fidelity International. Skills: Data Engineering, Oracle Databases, Cloud Integration. Design end-to-end data solutions. Develop end-to-end data solutions”
What You'll Achieve.
Improve productivity; Automate routine maintenance tasks; Decrease time to deliver; Optimize infrastructure costs; Improve system documentation; Improve knowledge transfer; Increase automated testing coverage; Enhance system resiliency; Enhance location resiliency
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
7+ years of experience with Oracle databases, Advanced SQL development, Experience leading a team of engineers, Knowledge of data modeling principles, Knowledge of database design, Proficiency with Python for data processing, Proficiency with Python for automation, Experience implementing data quality controls, Experience maintaining data quality controls, Experience with AI-assisted development, Ability to reverse engineer database schemas, Understand complex data relationships, Experience with version control systems, Excellent written communication skills, Demonstrated ability to work within Agile development methodologies, Knowledge of investment management industry concepts, Knowledge of security reference data, Knowledge of fund reference data, Knowledge of transactions, Knowledge of orders, Knowledge of holdings, Knowledge of different asset classes, Knowledge of fund accounting
Nice to Have
Experience with PL/SQL development, Knowledge of SQL Server, Knowledge of T-SQL development, Experience with ETL tools, Experience with Control-M, Unix shell scripting skills, Familiarity with CI/CD pipelines, Experience with AWS services, Experience with S3, Experience with Lambda, Experience with Step Functions, Knowledge of database security best practices, Experience with data visualization tools, Background in mentoring junior developers, Background in knowledge sharing, Experience of front office investment risk systems, Experience of front office investment analytics systems
What You'll Do.
Design end-to-end data solutions
Develop end-to-end data solutions
Maintain data solutions
Provide technical oversight
Manage stakeholder expectations
Articulate trade-offs
Create data pipelines
Maintain data pipelines
Implement ETL processes
Implement data quality controls
Implement validation processes
Lead collaboration with teams
Understand business requirements
Translate requirements to specifications
Document database designs
Document configurations
Collaborate on data strategy
Integrate Oracle systems
Integrate with cloud services
Define practices for database development
Support migration of data
Support migration of processes
Participate in sprint planning
Participate in sprint refinement
Participate in sprint retrospectives
How You'll Work.
Team & Collaboration
Cross-functional teams; Agile framework
Communication Scope
Written communication; Technical documentation
Process & Methodology
Agile development methodologies
Full Job Description
# **About the Opportunity** Job Type: Permanent Application Deadline: 15 June 2026 **Job Description** **Title** Senior Data Engineer **Department** ISS Delivery **Location** Bangalore **Reports To** ISS Data Engineers Lead **Level** 5 **About Fidelity International** Fidelity International offers investment solutions and services and retirement expertise to more than 2.56 million customers globally. As a privately-held, purpose-driven company with a 50-year heritage, we think generationally and invest for the long term. Operating in more than 25, our clients range from central banks, sovereign wealth funds, large corporates, financial institutions, insurers and wealth managers, to private individuals. **About your team** ISS Delivery provides the design and delivery of all changes in processes and/or technology solutions that support the growth for Fidelity’s Global Investment Solutions & Services business (ISS). We support Investment Management, Asset Management Operations and Distribtion team primarily located in London, Hong Kong, Tokyo, Toronto, Australia, Singapore and China. **About your role** We are seeking an experienced Senior Data Engineer to join our team, focusing on designing, implementing, and maintaining robust data solutions primarily using Oracle technologies while integrating with modern cloud services. This role bridges our existing data infrastructure with evolving cloud-based systems, requiring both deep database expertise and adaptability to new technologies.. **Strategic Impact** As a Data Engineer, you will directly contribute to our key organizational objectives: Cost Efficiency * Improve productivity through automating routine maintenance tasks * Decrease time to deliver continuous improvement initiatives * Optimize infrastructure costs through efficient database design Risk Mitigation * Improve system documentation and knowledge transfer * Increase automated testing coverage * Enhance system and location resiliency **Key Responsibilities
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