Wolt Development Sverige AB

This would not be possible without a state of the art core platform as the backbone managed by the dedicated SME teams in our Core Group. One such team is the Performance and Observability Team having two sub-tracks as the name implies. We are looking to expand our team across the Observability sub-track. The position is ideally suited to experienced candidates from Software Engineering / SRE / DevOps backgrounds with deep focus on Observability stack and best practices. Our team currently has four members, each having a diverse background and perspective. Together we own an observability stack that handles billions of metrics, traces and log entries each month. Our customers are all the engineers at Wolt who use this stack to understand the health of their services / infrastructure at scale. As of today, we manage a complex observability stack, covering a wide scope from application instrumentation and telemetry data collection to visualization and alerting, spanning both backend and client-facing applications. Our daily responsibilities ensure that this ecosystem operates seamlessly. In parallel, we're building the next-generation observability platform, re-architecting our stack and pipelines in collaboration with our counterparts at DoorDash. This partnership provides an unparalleled opportunity to drive high-impact initiatives across the observability domain, offering empowerment and involvement in cutting-edge projects. What you’ll do : Be responsible for building and improving our observability platform and tooling, used by all Wolt engineers. Contribute to initiatives focused on architecting, building, and maintaining our observability stack to efficiently handle increasing telemetry data with greater reliability. Champion observability best practices, guiding and supporting other Woltians in this space. Take ownership of key initiatives to improve the quality, efficiency, and reliability of our observability stack. Apply your expertise in SRE culture and practices to ensure observability has a meaningful impact on our business. Participate in the on-call rotation to address incidents and outages, resolving reliability issues efficiently. Help standardize observability resources by building tools and documentation that enhance productivity and developer experience. Triage and resolve production issues within the observability scope. Contribute to open-source efforts by sharing some of our internal tools with the broader community. Qualifications: Proven experience in Software Engineering, SRE, or a similar role with a focus on observability, reliability, and scaling large systems. You have experience with OpenTelemetry, which is a key foundation for much of the infrastructure and tooling the team is converging on as part of our future observability strategy. Strong foundation in computer science principles and engineering fundamentals. Proficient in development, particularly in Go (preferred) or Python, with experience building automation tools and software for large-scale, distributed systems. Hands-on experience with observability tooling such as DataDog, Prometheus, Mimir, Elasticsearch, Grafana, Jaeger, and tracing systems. Expertise in cloud platforms like AWS, GCP, or Azure, with experience managing cloud infrastructure using Kubernetes and containers (Docker). Deep knowledge of building and maintaining reliable, high-performance, and scalable distributed systems. Solid understanding of SRE principles, incident response, and designing fault-tolerant architectures. Experience with infrastructure-as-code tools like Terraform or Ansible for managing cloud environments. Familiarity with CI/CD pipelines, automated testing, and continuous delivery practices. Strong analytical and problem-solving skills, with experience troubleshooting complex distributed systems. Excellent communication and collaboration skills, with the ability to work cross-functionally to enhance platform observability and reliability. Experience working directly with development teams, with a willingness to dive into application code for observability-related topics, even when unfamiliar with the application code. Solid experience with Docker and Kubernetes, coupled with a strong foundation in Unix systems and networking concepts. Open to feedback, recognizing that no one is perfect—including us. We see feedback as an opportunity to learn and grow together. Nice to Haves: You have experience with handling data and running monitoring infrastructure at scale, such as managing petabyte-scale Elasticsearch clusters or similar databases You have experience operating distributed event streaming platforms at scale e.g. Apache Kafka Open-source contributions in observability, cloud, or platform engineering are a strong plus 📍This role can be based in one of our tech hubs in Helsinki, Berlin or Stockholm, or you can work remotely anywhere in Finland, Sweden, Germany, Denmark, and Estonia. Read more about our remote setup here. If you live outside of these countries - not to worry! We provide relocation support to help you make your way to Finland, Germany or Sweden. The position will be filled as soon as we find the right people, so feel free to apply as soon as you feel like hearing more about the position and potentially joining Wolt & Doordash!

About the role As a Staff Data Scientist at Wolt, you’ll play a key role in shaping strategic decisions across our operational business teams. This position combines deep scientific expertise with hands-on collaboration, placing you at the heart of high-impact initiatives that drive Wolt’s global growth. You’ll work closely with Operations to identify key business challenges, design robust measurement strategies, and guide tactical decisions through data. From uncovering causal relationships to setting up end-to-end tracking, experimentation, and monitoring frameworks, you’ll help ensure we’re focusing on the right ideas — and that we scale the ones that truly work. What you’ll be doing Take full ownership of impact assessment for early-stage, high-potential initiatives. Lead root cause analysis of metric trends, support annual planning and budgeting with robust data-driven reasoning. Run causal inference analyses and experimentation to evaluate new ideas and guide decision-making. Build and maintain tracking infrastructure, develop new metrics, and monitor performance to ensure strategic alignment. Collaborate cross-functionally to influence product and operational decisions, ensuring measurement is embedded into how we operate. You’ll move fluidly between scientific rigor and practical application, ensuring we don’t just analyze data, but use it to make better decisions, faster. Our humble expectations A typical candidate for this role has over 6 years of experience in a data science or analytics position within an industry or research setting and a degree in mathematics, statistics, economics, computer science, or a related field. We value the following attributes in an applicant: Proven track record in using data science to solve business problems Expertise in statistical analysis, including experimentation, using statistical software packages in Python, R, or equivalent Proficiency in writing structured and efficient SQL queries for large data sets Experience in data modelling and building scalable, self-serve reporting solutions Great communication skills and the ability to explain complex topics to both technical and non-technical audiences Strong stakeholder management and collaboration skills What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both a challenging and so interesting company to practice analytics. You can work onsite at our offices in Helsinki, Berlin or Tallinn. Alternatively, you can work remotely anywhere in Finland, Germany or Estonia. You have the chance to decide the ways of working — a hybrid, at the office, or remote, within the location above. 💙 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!