Analytics Engineer (Data modeling)

Аbout us:

OfficeRnD has one mission - making flexible and hybrid working a norm rather than an option.

We started building our SaaS platform back in 2015 to support the future of work. We believe that having freedom and flexibility is the way to provide better workspace experience. That’s what enables us to develop products that matter - for our customers and for the world.

The company has offices in Bulgaria, USA, UK, Australia and our teammates are the ones getting us to the top in our market niche.

If you live and breathe technology as well, come and join us!

About the role:

OfficeRnD is seeking a passionate Analytics Engineer who is enthusiastic about championing data practices and making a significant impact on the teams they collaborate with.

As an Analytics Engineer, you will own and evolve our modern data stack, ensuring that data flows seamlessly from source systems to business-facing analytics.

A core part of this role is building and maintaining well-structured data models in the warehouse, defining how data is organized, transformed, and consumed across the company.

Our data stack:

dbt, Snowflake, Fivetran, Looker

What you’ll do

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

What you bring:

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

What we offer in return is the opportunity to join a talented team and also enjoy:

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.

If this sounds like the right opportunity for you, we would be happy to talk soon! Apply now!