Senior Python Engineer

As the scale of Wolt has rapidly grown, we are introducing new users to our data platform every day and want this to become a coherent and streamlined experience for all users, whether they’re Analysts, Data Scientists working with our data or teams bringing new data to the platform from their applications. We aim to both provide new platform capabilities across batch, streaming, orchestration and data integration to serve our user’s needs, as well as building an intuitive interface for them to solve their use cases without having to learn the details of the underlying tools.
How we work
Our teams have a lot of autonomy and ownership in how they work and solve their challenges. We value collaboration, learning from each other and helping each other out to achieve the team’s goals. We create an environment of trust, in which everyone’s ideas are heard and where we challenge each other to find the best solutions. We have empathy towards our users and other teams. Even though we’re working in a mostly remote environment these days, we stay connected and don’t forget to have fun together building great software!
Our humble expectations
The vast majority of our services, applications and data pipelines are written in Python, so several years of having shipped production quality software in high throughput environments written in Python is essential. You should be very comfortable with typing, dependency management, unit-, integration- and end-to-end tests. If you believe that software isn’t just a program running on a machine, but the solution to someone’s problem, you’re in the right place.
Having previous experience in executing complex projects that touch multiple teams/stakeholders and run across a whole organization is a big plus. Good communication and collaboration skills are essential, and you shouldn’t shy away from problems, but be able to discuss them in a constructive way with your team and the Wolt Product team at large.
Familiarity with parts of our tech stack is definitely a plus, but we hire for attitude and ability to learn over knowing a specific technology that can be learned.
The tools we are building inside of the data platform ultimately serve our many stakeholders across the whole company, whether they are Analysts, Data Scientists or engineers in other teams that produce or consume data.
We want all of our users to love the tools we’re building and that is why we want you to focus on building intuitive and user friendly applications that enable everyone to use and work with data at Wolt.
Our tech stack
Our primary programming language of choice is Python. We deploy our systems in Kubernetes and AWS. We use Datadog for observability (logging and metrics). We have built our data warehouse on top of Snowflake and orchestrate our batch processes with Dagster. We are heavy users of Kafka and Kafka Connect. Our CI/CD pipelines rely on GitHub actions and Argo Workflows.