Data Engineer

Data Engineer

About the Opportunity

Job Type: PermanentApplication Deadline: 13 September 2026

Job Description

                                                                                                

Title                 Data Engineer

Department      Asset Management Platform

Location          GGN, India

Level                4

About Fidelity International

Fidelity International offers world class investment solutions and retirement expertise. As a privately owned, independent company, investment is our only business. We are driven by the needs of our clients, not by shareholders. Our vision is to deliver innovative client solutions for a better future.

Our people are passionate, engaged, smart and curious, and we give them the independence and the confidence to make a difference. While we take pride in the excellence of our investment solutions and client service, we know we can always do better. We are honest, respectful and make tough calls, challenging the status quo to achieve better outcomes through innovation. Above all else, we always put our clients first.

Team Description

We are building a best-in-class, modernised Asset Management platform — spanning core investment platforms, AI solutions, and reusable engineering capabilities — to help investment, distribution, operations, and technology teams deliver faster, smarter, and more scalable business outcomes.

The team will provide an end-to-end delivery capability — from identifying and shaping high-value opportunities, through rapid prototyping and secure production release, to ongoing monitoring and support — so solutions can be delivered faster, consistently, and at scale.

Our vision is to make AI a repeatable, trusted capability that drives measurable business outcomes through disciplined engineering, strong governance, and close partnership with business and technology teams.

About your role

You are expected to work effectively in a modern data engineering environment, using cloud data platforms, automation, DevOps practices, and AI-assisted development tools to deliver secure, scalable, and production-ready data capabilities. This role requires close collaboration with application teams, architects, data owners, platform teams, and business stakeholders to make enterprise data accessible, trusted, governed, and reusable.

As Modern Data Engineer, you design, build, and operate data pipelines, integration patterns, data models, and reusable components across structured and unstructured sources. You support deterministic business applications, analytics, automation, and AI-enabled use cases by ensuring data is delivered reliably, consistently, and with the right controls.

You are responsible for production-grade data solutions across batch, streaming, API-based, and event-driven patterns. This includes ingestion, transformation, orchestration, data quality checks, metadata, lineage, access controls, monitoring, and operational support.

You also help modernise data delivery through reusable connectors, templates, reference pipelines, data contracts, semantic models, documentation, and dashboards. Where relevant, you support AI and advanced analytics needs, including search, retrieval, and governed data exposure, while keeping the focus on trusted, reusable, business-ready data capabilities.

About you

• Strong prioritisation and execution under pressure across multiple workstreams.
• Collaborative leader; influences across engineering, product, data, and risk/compliance stakeholders.
• English is required.
• Hands-on builder: senior-level data engineering expertise with strong code quality, pragmatism, and production delivery discipline.
• Modern data engineering: designs and builds reliable data pipelines, data products, data models, and reusable data services across structured and unstructured sources.
• Strategic data platform experience: strong hands-on experience with Snowflake or similar cloud data warehouse platforms, including data modelling, performance optimisation, access controls, and cost-aware design.
• Data integration and platform engineering: strong API design, integration patterns, workflow orchestration, batch/stream processing, event-driven patterns, and distributed systems fundamentals.
• Engineering excellence: applies testing strategies, observability, CI/CD, feature flags, performance optimisation, cost controls, and secure-by-design delivery.
• AI and analytics enablement: practical understanding of how high-quality, governed data supports analytics, automation, search, retrieval, and AI-enabled use cases.

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.

I acknowledge and agree that:

-             the above job description does not form part of the employment contract. The Company reserves the right to review and amend an employee’s job description on a temporary or permanent basis pursuant to business requirements, the employee’s work performance and capabilities, and/or any change in the employee’s role or reporting line; and

-             the above job description, as well as any other performance targets which may be agreed with my manager, forms part of the basis in assessing whether I am able to satisfy the conditions of recruitment for the purposes of determining probation outcome.  

Employee Name: __________________________                    Date: __________________________

Signature: ___________________________