At a Glance
- Tasks: Lead the development of a cutting-edge financial data distribution platform using GCP technologies.
- Company: Join ISS STOXX, a leader in financial market research and technology solutions.
- Benefits: Enjoy a supportive culture, professional growth opportunities, and a diverse work environment.
- Other info: Be part of a dynamic team that values creativity and continuous improvement.
- Why this job: Make a real impact by shaping innovative data solutions in a collaborative team.
- Qualifications: 10+ years in data engineering with strong leadership and technical skills.
The predicted salary is between 80000 - 100000 € per year.
Stoxx is seeking a Principal Data Distribution Engineer to bring expert-level technical leadership to the development and deployment of our financial data distribution platform. We are in the process of fully re-architecting our distribution ecosystem to a modern componentised set of solutions using GCP technologies. In this IC role, you will collaborate with Software Product Management to establish direction and refine requirements and within the Engineering team to design, build, prove and migrate to the new stack.
You’ll be passionate about delivery of incremental value. You have experience defining and leveraging Generative SDLC approaches to rapidly turn complex requirements and designs into capable solutions. You’ll be able to demonstrate comfort and success in a matrixed organisation where reporting lines do not always dictate technical direction – in a culture where the global Data Engineering functions collaborate to achieve shared success. You will collaborate with cross-functional peers and stakeholders to share best practice and knowledge and drive continuous improvement initiatives.
You’ll be a humble expert, willing and able to meet people at their level and both help them and learn from them. You’ll lead by example, using data and proof-of-concepts to bring people along and make them successful. You’ll own deliverables as well as co-developing solutions with your peers and colleagues, to help others develop. Success in this role means you successfully navigate the line between personal and team value delivery – you embody beliefs and practices that helping your peers and colleagues grow and deliver their best, improves and reflects back on you too.
Responsibilities- Technical architect - Co-own our data distribution architecture and its evolution with peer Principal Data Engineers
- Generously share your experience to help your peers develop and grow
- Interpret product needs, requirements and enterprise policies into project requirements
- Be hands on, do what you expect others to do
- Help delivery teams implement your project requirements, focusing on automation and maximising reuse, quality and value
- Advocate for our architecture and solutions, demonstrating technical principles and business value and constantly seek feedback
- Assist with recruiting activities
- Keep abreast of emerging trends and technologies in cloud data distribution and operation, to form and disseminate new insights
- 10+ years experience, with at least 5 in senior data engineering roles, with focus on data distribution in the cloud
- Experience as a technical thought leader
- Experience coaching and mentoring high-performing teams
- Experience leading the development and deployment of large-scale, complex data pipelines
- Experience using and getting the best out of generative AI approaches
- API first mindset
- Design and delivery of decomposed batch preparation and real-time API pipelines
- Experience of user-entitlement management
- Experience of cloud development, the benefits and challenges
- Design and completion of complex migration projects, from technical and process/systems perspectives
- Experience of GCP products across database, serverless, containerization and API
- Pragmatic experience using agile to deliver incremental value
- Experience working in a global or multinational team setting
- Strong communication and collaboration skills
- Focus on simplicity, automation and observability
- Bachelor's or master's degree in computer science or related field
- Expertise in Python, Golang, SQL, Apigee
- Experience building and integrating agentic RAG solutions into data pipelines
- Experience with data cataloguing capabilities
- Domain knowledge of financial market data and financial index data models and feeds
At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success.
Principal Software Engineer – Data Distribution in London employer: Institutional Shareholder Services Inc.
At ISS STOXX, we pride ourselves on being an exceptional employer that champions innovation and collaboration within a diverse and inclusive work culture. Our commitment to employee growth is evident through our supportive environment, where you will have the opportunity to lead cutting-edge projects in financial data distribution while working alongside talented professionals from around the globe. Join us in our modern office, where creativity thrives, and together we can shape the future of financial technology.
Contact Detail:
Institutional Shareholder Services Inc. Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Principal Software Engineer – Data Distribution in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Principal Software Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving GCP technologies and data distribution. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with generative SDLC approaches and cloud development.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our #BrilliantTogether culture.
We think you need these skills to ace Principal Software Engineer – Data Distribution in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data distribution and cloud technologies. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Leadership:As a Principal Software Engineer, we’re looking for someone who can lead and mentor. Share examples of how you've guided teams or influenced technical direction in your previous roles. This will help us see your potential impact at ISS Stoxx.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point while still reflecting your personality.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at ISS Stoxx!
How to prepare for a job interview at Institutional Shareholder Services Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in GCP technologies and the latest trends in cloud data distribution. Brush up on your knowledge of Python, Golang, SQL, and API design, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Prepare examples that demonstrate your experience as a technical thought leader. Be ready to discuss how you've coached and mentored teams, and how you’ve navigated complex projects in a matrixed organisation.
✨Emphasise Collaboration
Since this role involves working with cross-functional teams, think of specific instances where you’ve successfully collaborated with others. Highlight how you’ve shared best practices and driven continuous improvement initiatives.
✨Be Ready for Problem-Solving
Expect to tackle some real-world problems during the interview. Prepare to discuss how you would approach designing and implementing data pipelines, focusing on automation and maximising value. Use proof-of-concepts to illustrate your points.
