Position: Backend Engineer - Data Management (f/m/d)
Company: Upvest
Category: Golang
Experience required: 3y
English level: intermediate
Published: 2022-07-01T00:00:00+03:00

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.

At Upvest, our vision is to make investing as easy as spending money. By enabling any business to offer investment opportunities, our goal is to empower anyone to invest. Today, we count 100+ talented people from 20 different countries.

Your mission:

We are seeking a full-time backend engineer with experience in data management to build services and data pipelines for Europe's first securities API. Your goal is to take ownership of designing, developing and maintaining our data pipeline (written in Go, supported by Airflow, exposed in Looker) and corresponding microservices (written in Go).

Team's mission

The Data and Analytics department at Upvest is responsible for providing business and operational data for the whole company.
We are (and are looking for) Cloud, Platform, and Data Engineers with a love for Go and passion for Data Quality.Our current focus is on ramping up our self-service data platform, using BigQuery and Looker, for other Upvengers to explore their domain data and gain valuable business insights.

This role will give you the opportunity to:

Designing and building fault-tolerant, horizontally scalable systems using a Microservice architecture powered by Docker and Kubernetes
Building event-driven applications using Kafka
Developing data cleaning, data transformation, data aggregation, and schema management components
Working on improving the reliability of our data infrastructure
Establishing or developing innovative tooling to facilitate low-maintenance data pipelines, rich data tooling for product and operations, and user-focused dashboarding.
Working with an agile methodology with flexible processes
Working with the cutting edge technologies (Go, Kafka, Looker) without a legacy codebase
Job requirements:

Prior experience with distributed systems and data pipelines
Love for clean and structured data and experience with schema management
Experience in Go (or willingness to make Go your day-to-day language)
Fluency in analytical SQL and other data languages (e.g., LookML, numpy/pandas, Airflow DAGs, GraphQL, etc.)
Fluency with event-driven architecture and concurrent algorithms
Being proactive in learning new stacks and having a high sense of ownership
Being able to present your work and enjoying to teach your newly learned skills and technologies to your colleagues
It's nice if you have:

Experience with Investment products or the Fintech domain, in general, is a big plus
Experience with managing end-to-end data pipelines (from the creation of an event to making it visible as a KPI to the CEO)
Experience in event-driven architectures and event sourcing systems.
Experience with ETL/ELT tools and technologies
Experience with Kafka Streams, KSQL, or related streaming aggregation technologies.
Experience with Docker, Kubernetes, and modern monitoring and tracing tools
Why Upvest?

We're working on solving a hard problem: fixing the European securities financial infrastructure that empowers more people to be able to invest. You have the opportunity to contribute to this change.
We invest in you. From access to a personal coach, development budget and plenty of opportunities to grow in your role.
We take hiring seriously with a strong focus on keeping a high bar when interviewing (equally important is that we hire decent people, who are passionate about their craft and helping us achieve our shared mission).
While we're not quite fully-remote, we are committed to being a flexible employer, as we understand you don't have to be in the office to do your best work.
We live a culture of empowerment, trust (that we hire the best people and get out of their way) and openness (there's a greater advantage in sharing information than keeping it to ourselves).
Our values:

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.