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Fidelity International

Senior Data Engineer

Posted 8 Hours Ago
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Remote
Hiring Remotely in Office, Machaze, Manica
Senior level
Remote
Hiring Remotely in Office, Machaze, Manica
Senior level
The Senior Data Engineer will design, implement, and maintain data solutions using Oracle technologies and integrate them with cloud services, while leading a small team of data engineers and ensuring data quality and system resiliency.
The summary above was generated by AI
About the OpportunityJob Type: Permanent

Application Deadline: 15 February 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

  • Ownership of the design and development of end-to-end data solutions for Oracle-based systems
  • Provide technical oversight to a small team of data engineers as part of project delivery
  • Manage stakeholder expectations and articulate trade-offs, timelines and decisions
  • Create and maintain efficient data pipelines for extract, transform, and load (ETL) processes
  • Implement data quality controls and validation processes to ensure data integrity
  • Lead collaboration with cross-functional teams to understand business requirements and translate them into technical specifications
  • Document database designs, procedures, and configurations to support knowledge sharing and system maintenance
  • Work closely with Data Architects to collaborate on the long term data strategy of the team
  • Integrate Oracle systems with cloud services, particularly AWS S3 and related technologies
  • Lead code reviews and contribute to define practices for database development
  • Support migration of data and processes from legacy systems to modern cloud-based solutions
  • Work within an Agile framework, participating in sprint planning, refinement, and retrospectives
Essential Skills and Experience
  • 7+ years of experience with Oracle databases, including advanced SQL development
  • Experience leading a team of engineers to solve a business problem with data solutions
  • Strong knowledge of data modeling principles and database design
  • Proficiency with Python for data processing and automation
  • Experience implementing and maintaining data quality controls
  • Experience with AI-assisted development (GH copilot, etc..)
  • Ability to reverse engineer existing database schemas and understand complex data relationships
  • Experience with version control systems, preferably Git/GitHub
  • Excellent written communication skills for technical documentation
  • Demonstrated ability to work within Agile development methodologies
  • 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 with PL/SQL development (stored procedures, functions, packages)
  • Knowledge of SQL Server and T-SQL development
  • Experience with ETL tools like Informatica and Control-M
  • Unix shell scripting skills for data processing and automation
  • Familiarity with CI/CD pipelines for database code
  • Experience with AWS services, particularly S3, Lambda, and Step Functions
  • Knowledge of database security best practices
  • Experience with data visualization tools (Tableau, Power BI)
  • Background in mentoring junior developers or knowledge sharing
  • Experience of front office investment risk and/or analytics systems

Feel rewarded

For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

Top Skills

Aws S3
Git
Informatica
Oracle
Pl/Sql
Power BI
Python
SQL Server
T-Sql
Tableau

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