{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Principal Software Engineer (Data Distribution)”, “description”: “
Requirements
- 10+ years’ experience, including 5+ years in senior data/platform engineering roles
- Proven experience designing, building and running large-scale, business-critical data ecosystems
- Strong experience with data distribution architectures and associated trade-offs
- Experience delivering complex programmes iteratively, with a focus on value and managing uncertainty
- Hands-on experience with real-time and batch pipelines, APIs, and distributed systems
- Experience with user identity and entitlement management in data access contexts
- Strong cloud experience (GCP exposure required)
- Experience delivering complex migration programmes across systems and processes
- Ability to influence technical direction without formal authority
- Strong communication and collaboration skills in global environments
- Focus on simplicity, reuse, automation and observability
- Proficiency in Python, Golang, SQL and modern API frameworks (e.g. Apigee)
- Bachelor’s or Master’s degree in Computer Science or related field
- You’ll be passionate about delivering incremental value. You bring experience applying modern (including Generative AI-enabled) SDLC approaches to turn complex requirements into scalable solutions, and are comfortable operating in matrixed environments where influence, not hierarchy, drives direction
- You are a humble expert who leads by example—using data, proof-of-concepts, and pragmatic decision-making to bring others along. You balance personal ownership with enabling others, raising the bar across teams while staying deeply hands-on
What the job involves
- ISS STOXX is seeking a Principal Software Engineer on Data Distribution to bring expert-level technical leadership to the development and deployment of our financial data distribution platform. We are re-architecting our distribution ecosystem into a modern, componentized set of solutions using GCP. In this hands-on IC role, you will collaborate with Product to shape direction and with Engineering to design, build, validate and migrate to a new platform serving business-critical data at scale
- You will collaborate globally, sharing best practices and continuously improving how teams design, build and deliver
- Success in this role means consistently delivering value in complex, evolving environments—helping teams progress with clarity despite ambiguity, avoiding big-bang delivery, and building systems that scale with both the business and the organisation
- Co-own the evolution of our data distribution architecture with peer Principal Engineers
- Design, build and operate business-critical data ecosystems with a focus on scalability and resilience
- Translate product needs and enterprise policies into clear technical delivery
- Remain hands-on, leading through execution
- Guide teams on distribution patterns, including APIs, streaming, events, file/object delivery and marketplace channels
- Optimise performance through approaches such as caching and CDNs where appropriate
- Drive best practice across identity, access and entitlement-aware data delivery
- Support iterative delivery of complex programmes, balancing speed, risk and value
- Advocate for architectural principles, using data and feedback to continuously refine solutions
- Mentor and support engineering peers; contribute to hiring where needed
- Stay current on emerging trends in cloud data platforms and distribution technologies
Company: Deepstreamtech
Location: London
Job Description:
Requirements
- 10+ years’ experience, including 5+ years in senior data/platform engineering roles
- Proven experience designing, building and running large-scale, business-critical data ecosystems
- Strong experience with data distribution architectures and associated trade-offs
- Experience delivering complex programmes iteratively, with a focus on value and managing uncertainty
- Hands-on experience with real-time and batch pipelines, APIs, and distributed systems
- Experience with user identity and entitlement management in data access contexts
- Strong cloud experience (GCP exposure required)
- Experience delivering complex migration programmes across systems and processes
- Ability to influence technical direction without formal authority
- Strong communication and collaboration skills in global environments
- Focus on simplicity, reuse, automation and observability
- Proficiency in Python, Golang, SQL and modern API frameworks (e.g. Apigee)
- Bachelor’s or Master’s degree in Computer Science or related field
- You’ll be passionate about delivering incremental value. You bring experience applying modern (including Generative AI-enabled) SDLC approaches to turn complex requirements into scalable solutions, and are comfortable operating in matrixed environments where influence, not hierarchy, drives direction
- You are a humble expert who leads by example—using data, proof-of-concepts, and pragmatic decision-making to bring others along. You balance personal ownership with enabling others, raising the bar across teams while staying deeply hands-on
What the job involves
- ISS STOXX is seeking a Principal Software Engineer on Data Distribution to bring expert-level technical leadership to the development and deployment of our financial data distribution platform. We are re-architecting our distribution ecosystem into a modern, componentized set of solutions using GCP. In this hands-on IC role, you will collaborate with Product to shape direction and with Engineering to design, build, validate and migrate to a new platform serving business-critical data at scale
- You will collaborate globally, sharing best practices and continuously improving how teams design, build and deliver
- Success in this role means consistently delivering value in complex, evolving environments—helping teams progress with clarity despite ambiguity, avoiding big-bang delivery, and building systems that scale with both the business and the organisation
- Co-own the evolution of our data distribution architecture with peer Principal Engineers
- Design, build and operate business-critical data ecosystems with a focus on scalability and resilience
- Translate product needs and enterprise policies into clear technical delivery
- Remain hands-on, leading through execution
- Guide teams on distribution patterns, including APIs, streaming, events, file/object delivery and marketplace channels
- Optimise performance through approaches such as caching and CDNs where appropriate
- Drive best practice across identity, access and entitlement-aware data delivery
- Support iterative delivery of complex programmes, balancing speed, risk and value
- Advocate for architectural principles, using data and feedback to continuously refine solutions
- Mentor and support engineering peers; contribute to hiring where needed
- Stay current on emerging trends in cloud data platforms and distribution technologies
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Posted: May 18th, 2026