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 employer: Institutional Shareholder Services Inc.
At ISS STOXX, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the financial technology sector. Our commitment to employee growth is reflected in our supportive work culture, where diverse perspectives are valued, and opportunities for professional development abound. Located in a dynamic global environment, we empower our team members to thrive, ensuring they have the resources and autonomy to deliver impactful solutions while fostering a sense of community and shared success.
Contact Detail:
Institutional Shareholder Services Inc. Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Principal Software Engineer – Data Distribution
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your experience aligns with their needs. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio or GitHub repository that highlights your best work, especially projects related to data distribution and cloud technologies. We want to see your hands-on experience and how you tackle real-world problems.
✨Tip Number 4
Don’t forget to follow up! After an interview, send a thank-you email expressing your appreciation for the opportunity. It’s a great way to keep yourself top of mind and show your enthusiasm for the role. And remember, apply through our website for the best chance!
We think you need these skills to ace Principal Software Engineer – Data Distribution
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data distribution and cloud technologies shine through. We want to see that you’re not just ticking boxes but genuinely excited about the role and what you can bring to our team.
Tailor Your Experience:Make sure to highlight your relevant experience in data engineering and cloud solutions. We love seeing how your past roles align with what we’re looking for, so don’t be shy about showcasing your achievements and how they relate to our needs.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your skills and experiences effectively. Remember, less is often more!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
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 to discuss your experience in mentoring and coaching teams. Be ready to share specific examples of how you've led projects or initiatives that delivered incremental value, especially in a matrixed organisation.
✨Be Ready for Collaboration
Since this role involves working with cross-functional teams, think of examples where you’ve successfully collaborated with others. Highlight your communication skills and how you’ve shared best practices to drive continuous improvement.
✨Demonstrate Your Problem-Solving Approach
Prepare to discuss how you tackle complex requirements and turn them into effective solutions. Use examples from your past experiences to illustrate your thought process and how you leverage generative SDLC approaches.
