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Python Engineer, Data Group

Python Engineer, Data Group
Wolt
remote
8 months ago

Company Description

Wolt is a Helsinki-based technology company that provides an online platform for consumers, merchants and couriers. It connects people looking to order food and other goods with people interested in selling and delivering them. To enable this, Wolt develops a wide range of technologies from local logistics to retail software and financial solutions – as well as operating its own grocery stores under the Wolt Market brand. Wolt’s products include Wolt+ (subscription service for customers), Wolt for Work (meal benefits and office deliveries for companies), Wolt Drive (fast last-mile deliveries for merchants) and Wolt Self-Delivery (service for merchant partners with their own delivery staff). Wolt’s mission is to make cities better by empowering and growing local communities. Wolt was founded in 2014 and joined forces with DoorDash in 2022. DoorDash operates in 29 countries today, 25 of which are with the Wolt product and brand.

Working in Product Development at Wolt

At Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people.

Our Commitment to Diversity, Equity & Inclusion

We want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way.

Job Description

Data at Wolt

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.

Data Governance

Wolt’s Data Group has already developed an initial foundational tooling in the areas of data management, security, auditing, data catalog and quality monitoring, but through your technical contributions you will ensure our Data Governance tooling is state of the art. You’ll be improving the current Data Governance platform, making sure it can be further integrated with the rest of the Data Platform and Wolt Services in a scalable, secure, compliant way, without significant disruptions to the teams.

Data Experience

We want to ensure our Analysts, Data Scientists, and Engineers can discover, understand, and publish high-quality data at scale. You will help us ensure our users succeed in their work with effective and polished user experiences by developing our internal user-facing tooling and curating our documentation to the highest standards. And what's best, you get to work closely with excited users to get continuous feedback about released features while supporting and onboarding them to new workflows.

Data Lakehouse

We recently started this workstream to manage data integration, organization, and maintenance of our new Iceberg based data lakehouse architecture. Together, we build and maintain ingestion pipelines to efficiently gather data from diverse sources, ensuring seamless data flow. We create and manage workflows to transform raw data into structured formats, guaranteeing data quality and accessibility for analytics and machine learning purposes.

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 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 Airflow and Dagster. We are heavy users of Kafka and Kafka Connect. Our CI/CD pipelines rely on GitHub actions and Argo Workflows.

Qualifications

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.

Expertise level

Work arrangement

Key skills

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