Design, build, and maintain complex, scalable dbt models and projects in large, multi domain environments
Act as the team’s dbt expert, including refactoring complex transformations, resolving performance issues, and exploring, evaluating, and introducing advanced dbt features where they add clear value
Accelerate the migration from legacy DOMO pipelines to the modern data platform in close collaboration with the Principal Analytics Engineer
Help shape and refine shared approaches to data modeling, documentation, dbt project structure, and overall transformation practices as the platform scales
Support the team in using AI powered IDEs, coding assistants, agents, and automation tools to improve development workflows and productivity
Guide and support the growth of other Analytics Engineers, helping them strengthen dbt, SQL, modeling, and problem solving skills
Collaborate with business stakeholders to understand workflows and metrics, translating real world logic into clear, reliable data models
Provide Analytics Engineering coverage during EU business hours, partnering closely with EU based stakeholders.

Bachelor’s Degree in Computer Science, Software Engineering, Mathematics, Data Engineering, or a related field
Minimum of 5 years of experience in analytics engineering, data modeling, or data transformation
Extensive hands on experience with dbt (or similar transformation tools such as SQLMesh), ideally in large, complex, multi project environments
Advanced SQL skills, with the ability to refactor complex queries, simplify legacy logic, and optimize transformation
Strong experience building clear, scalable data models and data products that reflect real world business processes
Strong business acumen, with the ability to understand how the business operates through data, validate assumptions, and partner effectively with stakeholders
Strong problem solving skills and comfort working in ambiguous, complex data environments
Experience working with data quality practices, including tests, validations, and investigating data issues
Strong communication skills and the ability to work effectively across technical and non technical teams
Comfort with Git based workflows and CI/CD practices

Bonus Points For

Experience with modern data platforms
Familiarity with BI tools (Power BI, Looker, Tableau) for validating downstream data
Experience migrating legacy analytics environments to modern stacks
Exposure to data governance or metadata tools.

Annual company bonus. We celebrate success together! Employees are not only rewarded for their achievements but also for contributing to the overall success of the business.
Wellness and well-being with access to OpenUp psychologists, practice mindfulness with Headspace and tons more.
Doggo-friendly office. We are big pet lovers and fully encourage hanging out with your (and your colleagues’) furry friends in the office
Daily Lunch and snacks are provided in the office; it's a moment for our teams to connect and recharge. Shared meals strengthen our bonds and fuel collaboration.
We offer learning and development days to be used for training or on volunteering, money to spend on learning courses, events, trainings, Access to our in-house LEARN platform with diverse courses, training, and workshops, In-house 3D Printing and much more!

Senior Analytics Engineer

Key skills