Backend Engineer, Data & Reporting (f/m/d)
Are you a Fintech enthusiast experienced in Go or willing to make Go your day-to-day language? Are you interested in working on solving a hard problem: fixing the European securities financial infrastructure that empowers more people to be able to invest?
If this sounds like you, we’d love to chat!
Data & Reporting teams are a crucial part of the platform. They provide all the data that other parts of the platform need to operate - for example: the list of instruments available at various exchanges, their current and historic prices, as well as corporate actions.
Data & Reporting also takes care of all the regulatory reporting we are obliged to do as an investment bank, like generating transaction statements for our client’s end-users but also tax accounting and reporting to authorities.
As a Backend Engineer in one of the Data & Reporting teams, you will contribute to building scalable and event-driven services that enable other teams at Upvest to do their job by sourcing, processing, and exposing all the data and information they need. You will also build services that react to events happening in other domains within Upvest to, for instance, do tax accounting, reconciliation, or reporting.
Responsibilities we'll trust you with
- Designing and building fault-tolerant, horizontally scalable systems using Microservice architecture powered by Docker, Kubernetes, LinkerD service mesh, and Kong as a Gateway
- Building event-driven applications using Kafka
- Working on different aspects of our API-product portfolio
- Developing data processing and storing mechanisms
- Working on improving the reliability of our API tools, as well as developing innovative new tools
- Working with an agile methodology with flexible processes
- Work with the cutting edge technologies (Go is the primary language) without legacy codebase
- Prior experience with distributed systems
- Experience in Go (or willingness to make Go your day-to-day language)
- Fluency with SQL databases such as PostgreSQL (transaction isolation, performance optimization?)
- Fluency with event-driven architecture and concurrent algorithms
- Be proactive in learning new stacks and have a high sense of taking ownership
It's nice if you have:
- Experience with Investment products or Fintech domain in general is a big plus
- Experience in event-driven architectures, event streaming and event sourcing systems.
- Experience with Docker, k8s, understanding principles of a service mesh
- Experience with non-SQL databases
- Experience with Monitoring and Tracing using Datadog (or other modern observability tools)
How we Upvest in you?
Greenfield projects. We’re building something quite complex and a first in Europe. This means we’re working with cutting-edge technologies and with no legacy code.
Wellbeing. At Upvest, everyone has access to our in-house coach where you can have regular sessions to support you personally and professionally.
Development. In keeping with one of our core values, ‘Learn and Grow’, every Upvenger has access to a development budget. In line with one of our other values, ‘Own the Outcome’, how you choose to make the most of it, is up to you.
Flexibility. We work in a hybrid setup with the team distributed around Germany and Europe. We give you the choice (and budget) to spend your time where you are most comfortable and productive, either at home or the office. You choose.
We’re based in Berlin but would consider hiring remotely for this role. If you do want to move to Berlin though, we’re happy to support your relocation.
Learn and grow. We aim high to shape our future. We give and request honest feedback knowing that we develop together. Progression over Perfection.
Team first. We make it easy for others. We value our differences and are open to others' opinions. We win and celebrate together! Team over Egos.
Own the outcome. Whether we win or we lose, we stand together. We are proactive and get the job done. Outcome over Process.
Tell the story. We always start with the why. We share knowledge to empower others. Transparency over Complexity