Solution Engineer, Enterprise Services - Financial Solutions

Solution Engineer, Enterprise Services - Financial Solutions

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Bloomberg

At a Glance

  • Tasks: Join a dynamic team to provide technical solutions for financial data integration.
  • Company: Innovative enterprise data services company in the heart of London.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Exciting projects with potential for travel across London and Europe.
  • Why this job: Make an impact in the fast-paced world of financial technology.
  • Qualifications: 5+ years in software development and strong client-facing skills required.

The predicted salary is between 60000 - 80000 £ per year.

Location: London

Business Area: Sales and Client Service

Ref #: 10050455

We are Enterprise data services - fast paced, agile, innovative, and growing. We are at the heart of where change meets value, technology development, data and client relationships. Our vast selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling means our clients can get exactly the data they need, when they need it, in the format they prefer. Without us, they simply can’t operate.

The Role

We’re looking for a passionate, motivated, highly technical, client‑facing individual to join our family. As a Solutions Engineer, you’ll provide best practice consultation directly to our internal and external clients for the integration of our Enterprise Data products and services. You’ll be a quick study, eager to develop your understanding of the Bloomberg Enterprise Data Products and our customer base, to technically lead client engagements and provide a third tier of technical expertise for complex issues. You’ll drive the client programming partnership, communicate product improvements, and be the technical design sounding board for everything data.

Key Responsibilities

  • Partner closely with development leadership to build out solutions using Bloomberg’s API-based Enterprise Data Technology.
  • Understand big‑picture roadmaps and strategies to achieve long‑term goals such as Digital Transformation, RPA and Cloud adoption.
  • Collaborate with peers, sales, technical account managers and service delivery teams to drive critical client onboarding initiatives, technology partnerships and highly technical projects.
  • Proactively identify ideas to help drive stronger product performance and implement those ideas from inception to completion.
  • Actively identify potential areas of improvement or gaps in internal tools & monitoring systems and develop solutions.
  • Support the developer community around Bloomberg’s data delivery mechanisms.

Qualifications

  • 5+ years of experience with software development in one or more programming languages (.NET, Java, C++, C#, Python), Big Data, Data Science and Public Cloud technologies.
  • Strong client‑facing experience, be presentable & able to articulate complex technical concepts to all skill levels.
  • Bachelor’s degree in Computer Science or Information Systems.
  • Industry experience in development or implementation of market data applications and related APIs.
  • Strong organizational skills, attention to detail and the ability to handle multiple technical streams / lead client engagements whilst collaborating across different teams.
  • Confident to work with clients ranging from application developers to CTOs.
  • Ability to travel within London and Europe.

Preferred

  • Exposure and understanding of Financial Data, especially Real‑Time Market Data.
  • Experience in architecting, designing and delivering large‑scale data and analytics solutions in financial services.
  • Knowledge of financial markets and levels of urgency for critical data needs.
  • Experience with database querying languages such as SQL, NoSQL or similar.
  • Exposure to modular designs with a focus on reliability and scalability.
  • AWS Certified Solutions Architect or equivalent.

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

Solution Engineer, Enterprise Services - Financial Solutions employer: Bloomberg

As a Solution Engineer at our London office, you'll be part of a dynamic and innovative team that thrives on collaboration and technical excellence. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and exposure to cutting-edge technologies in the financial sector. With a focus on client engagement and impactful solutions, you'll find meaningful work that drives both personal and professional development in a fast-paced environment.

Bloomberg

Contact Details:

Bloomberg Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Solution Engineer, Enterprise Services - Financial Solutions

Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in financial solutions. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to APIs or data solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by practising common technical questions and scenarios relevant to the role. Think about how you would explain complex concepts to clients at different levels. We want you to shine when it comes to articulating your expertise!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!

We think you need these skills to ace Solution Engineer, Enterprise Services - Financial Solutions

.NET
Java
C++
C#
Python
Big Data
Data Science

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Solution Engineer role. Highlight your experience with software development, especially in programming languages like .NET, Java, or Python. We want to see how your skills align with our needs!

Showcase Client-Facing Experience:Since this role involves a lot of client interaction, don’t forget to showcase your client-facing experience. Share examples where you’ve successfully communicated complex technical concepts to different audiences. We love seeing that kind of versatility!

Highlight Relevant Projects:If you've worked on projects related to financial data or large-scale data solutions, make sure to highlight them. We’re looking for someone who understands the urgency of critical data needs, so any relevant experience will definitely catch our eye!

Apply Through Our Website:Finally, make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Bloomberg

Know Your Tech Inside Out

Make sure you brush up on your programming languages and technologies mentioned in the job description, like .NET, Java, and Python. Be ready to discuss how you've used these in past projects, especially in relation to data solutions.

Understand the Financial Landscape

Familiarise yourself with financial data concepts and market dynamics. Being able to speak knowledgeably about real-time market data and its importance will show that you're not just technically savvy but also understand the industry context.

Showcase Your Client-Facing Skills

Prepare examples of how you've successfully communicated complex technical concepts to clients at various levels. Highlight your experience in leading client engagements and how you’ve built strong relationships in previous roles.

Be Ready for Problem-Solving

Think of specific challenges you've faced in past projects and how you overcame them. This role requires a proactive approach to identifying gaps and improving systems, so be prepared to discuss your problem-solving strategies.