Senior Software Engineer – Real-Time Data Platform

Senior Software Engineer – Real-Time Data Platform

Full-Time No working from home possible
Morningstar Credit Ratings, LLC

At a Glance

  • Tasks: Design and build scalable, real-time data processing systems using cutting-edge technologies.
  • Company: Join a leading investment research and financial data company with a collaborative culture.
  • Benefits: Competitive salary, bonus potential, hybrid work model, and professional development opportunities.
  • Other info: Be part of a dynamic team focused on innovation and operational excellence.
  • Why this job: Tackle complex engineering challenges and make a real impact on mission-critical systems.
  • Qualifications: Experience in distributed systems, Apache Flink, and strong coding skills in .NET or Java.

We’re looking for a Senior Software Engineer to join our team building and operating the core data platform that powers our business. This platform sits at the heart of everything we do, delivering high‑quality, real‑time market data to systems and teams across the organisation. If you enjoy working on high‑throughput, low‑latency systems at massive scale, and want to take ownership of meaningful, business‑critical problems, this role is for you.

About the Role

You’ll be working on a distributed, event‑driven platform responsible for processing billions of market data messages per day. This is a high‑performance environment where reliability, scalability, and correctness are essential. Your work will support downstream systems that depend on timely, accurate market data for analytics. You’ll collaborate closely with engineers, product teams, and stakeholders to design, build, and operate resilient systems that handle extreme data volumes with precision, while also maintaining a strong focus on cost efficiency, scalability, and operational excellence.

Key Responsibilities

  • Design and build scalable, real‑time data processing systems using technologies such as Apache Flink and Kafka.
  • Develop high‑quality, maintainable code for Apache Flink (Java) data processing and .NET APIs.
  • Lead and contribute to collaborative system design, taking end‑to‑end ownership from implementation to production support.
  • Build production‑grade systems with a strong focus on observability, monitoring, and operational excellence, enabling rapid detection and resolution of issues.
  • Work with AWS services to build cloud‑native, highly available systems; define and manage infrastructure using Terraform.
  • Implement CI/CD pipelines and deployment workflows using tools such as Harness.
  • Optimize systems for performance, latency, throughput, and cost.

What We’re Looking For

  • Excellent collaboration and communication skills.
  • Strong experience in distributed systems and event‑driven architectures.
  • Hands‑on experience with Apache Flink (or similar stream processing frameworks) and Kafka or other messaging systems.
  • Strong proficiency in .NET or Java.
  • Experience building systems that are highly observable and operationally mature, with strong monitoring, logging, and alerting practices.
  • Strong understanding of performance tuning, scalability, and fault tolerance.
  • Good understanding of cost implications when designing systems, including the ability to project costs as we scale.

Why Join Us

  • Work on systems that are mission‑critical to the entire business.
  • Operate and evolve a platform handling billions of messages per day.
  • Solve complex engineering challenges at massive scale.
  • Be part of a team that values ownership, collaboration, and delivery.
  • Opportunity to shape a high‑performance, cost‑efficient, and highly observable data platform.

Compensation

Base Salary: GBP 68,200.00‑95,333.33
Bonus Target: 12.5% Annual

Work Environment

Morningstar’s hybrid work model offers four days of in‑office work each week, complemented by flexible arrangements that enable team collaboration and individual focus.

Equal Opportunity Employer

Morningstar is a global independent investment research and financial data company. We are strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.

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Senior Software Engineer – Real-Time Data Platform employer: Morningstar Credit Ratings, LLC

Morningstar Credit Ratings, LLC is an exceptional employer that prioritises employee growth and well-being in the vibrant setting of Greater London. With a strong commitment to equal opportunity and a supportive work culture, employees benefit from a hybrid work environment that promotes work-life balance, alongside competitive compensation and performance-based bonuses. Joining Morningstar means being part of a forward-thinking team where your expertise in credit analysis will be valued and nurtured.

Morningstar Credit Ratings, LLC

Contact Details:

Morningstar Credit Ratings, LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Software Engineer – Real-Time Data Platform

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We think you need these skills to ace Senior Software Engineer – Real-Time Data Platform

Apache Flink
Kafka
Java
.NET
Distributed Systems
Event-Driven Architectures
CI/CD Pipelines

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Morningstar Credit Ratings, LLC.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Morningstar Credit Ratings, LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Morningstar Credit Ratings, LLC

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Morningstar Credit Ratings, LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.