BI Engineer focusing on data modeling at OfficeRnD, developing data solutions and supporting analytics teams. Collaborating cross-functionally to enhance data quality and infrastructure.
Responsibilities
Build and maintain robust data models in dbt, leveraging advanced features, macros, and best practices
Structure and transform data into clear layers (staging, intermediate, marts)
Maintain and support our data infrastructure
Monitor and optimize data syncs, warehouse performance, and cost
Support Looker dashboards and explores by ensuring accurate and well-modeled underlying data
Collaborate cross-functionally with diverse stakeholders to deliver data solutions that drive decision-making
Identify and resolve data quality issues, performance bottlenecks, and data integration challenges
Act as a subject-matter expert on the data, its relationships, and overall structure
Requirements
2–4 years of experience as a Data Engineer or Analytics Engineer
Proficiency in SQL
Strong experience with dbt, including macros, tests, and performance optimization
Experience with Snowflake or a similar cloud data warehouse (Redshift, BigQuery, etc.)
Familiarity with Fivetran or other ELT tools
Experience with Looker (LookML, dashboards, user permissions)
Good understanding of data modeling concepts (e.g. fact and dimension tables, structuring data for analytics)
Comfort working with Git-based workflows, preferably GitHub Actions or similar CI/CD orchestration
Analytical mindset with attention to detail and a pragmatic approach to problem-solving
Excellent communication and documentation skills in English.
Experience with the following would be a plus:
Experience with dimensional modeling in practice (e.g. star schema)
Python
Data quality frameworks
Background in SaaS or B2B product analytics.
Benefits
Premium health insurance incl. dental.
25 days off a year.
1 additional day off for your birthday.
3 days off for volunteering.
Full remuneration of your first 3 days of sick leave.
A combination of remote and on-site (a minimum of 40% of the monthly working time).
Co-funded sports card to support your active lifestyle.
Learning and development opportunities.
Regular team events and celebrations to foster connection and collaboration.
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