Senior Analytics Engineer, Merchant
Wolt - English
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Compensation
Salary & market context
Salary not listed
Requirements
Top requirements
- Strong hands-on experience with data integrations, data pipelines, data models, metric development, and dashboards .
- Advanced SQL skills and ability to write optimized queries for large data sets.
- Strong business acumen and product-oriented thinking with significant experience in the design and implementation of analytics and reporting data models.
Perks & setup
Benefits candidates care about
- 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 interesting company to practice analytics.
- You can choose the location from our tech hubs in Berlin, Helsinki, and Stockholm. 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
Why candidates care
Benefits & perks
- 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 interesting company to practice analytics.
- You can choose the location from our tech hubs in Berlin, Helsinki, and Stockholm. 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!
- For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Zhanna Filintseva via
- Our Commitment to Diversity and Inclusion
- We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Start here
Requirements
- Strong hands-on experience with data integrations, data pipelines, data models, metric development, and dashboards .
- Advanced SQL skills and ability to write optimized queries for large data sets.
- Strong business acumen and product-oriented thinking with significant experience in the design and implementation of analytics and reporting data models.
Responsibilities
What you'll do
- Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world.
- Here you'll learn more, build more, and ship more than in most other companies.
- You'll be challenged a lot, but also have a lot of fun on the way.
- About the role The role is focused on the business needs - you'll be working within a cross-functional team, making sure your teammates get the insights needed for their operations.
- You'll get to utilize our modern tech stack as part of your work (Snowflake, SQL, Looker, Wolt Inhouse ETL, Airflow, Dagster, Github).
- Design and implement complex data pipelines with dependency control, orchestration and auto-materialisation logic.
Role snapshot
About the role
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Analytics at Wolt is a business-critical area that covers three different teams — data science, regional business operations, and analytics engineering. The complexity of online delivery, differences in the economics and dynamics of the cities we operate in, and vast amounts of data make our work truly interesting!
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