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Tech Stack
Tools & technologiesSQLTableau
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
dbtSQLdata modelingdata transformationdata quality practicesCI/CDdata governancemetadata toolsanalytics engineeringdata products
Soft Skills
problem solvingbusiness acumencommunicationcollaborationmentoringadaptabilitystakeholder engagementworkflow improvementcritical thinkingtranslating logic
Certifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Software EngineeringBachelor’s Degree in MathematicsBachelor’s Degree in Data Engineering