Analytics Engineer: dbt, Databricks & Data Governance

GoodHabitz; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Performance bonus

25 days holiday

Travel budget

Flexible work & tools

Growth resources

Mental coaching

Diversity & inclusion

Team-building events

Do-Good Day

Pension & insurance

Job summary

GoodHabitz in Amsterdam is expanding its Product Data function. You’ll be the Analytics Engineer, anchoring governance, trusted models, and standard practices across the data estate, using Databricks with dbt and collaborating with product and business stakeholders on what to measure and why.

You’ll own the event taxonomy, metrics catalog, and data quality gates, enabling self-serve analytics and scalable insights across a fast-growing EdTech company.

Qualifications

• Production-level experience with SQL and dbt, and Git workflow.
• Experience with dimensional modelling and semantic layers.
• Experience building a tracking plan or event taxonomy with engineering.
• A track record of building enforcement processes such as data contracts, CI validation or DoD gates.
• Comfort translating ambiguous product and business questions into clear, durable measurement definitions.
• Experience with Databricks/Unity Catalog, B2B SaaS multi-surface products, or data observability tooling is a plus.

Responsibilities

• Build trust in the data estate. Assess the Databricks estate, define trust levels, and propose owners for each source and table.
• Model with dbt. Build and version silver-to-gold transformations with dimensional modelling and a semantic layer, designing point-in-time dimensions that preserve history.
• Own the event taxonomy. Design and roll out one event taxonomy and naming convention, partnering with engineering to govern it as a shared contract.
• Define shared metrics. Own the metric catalog and sign-off process, and build activation, engagement and retention models leadership can steer by.
• Enable self-serve. Build semantic models and documentation that let product and business teams answer their own questions.
• Enforce quality. Set data quality standards, build sign-off into a Definition of Done gate, and monitor instrumentation to catch issues early.

Skills

SQL and dbt

Dimensional modelling

Tracking plan / event taxonomy

Data contracts / DoD gates

Measurement definitions

Databricks / Unity Catalog

Job description

GoodHabitz in Amsterdam is expanding its Product Data function. You’ll be the Analytics Engineer, anchoring governance, trusted models, and standard practices across the data estate, using Databricks with dbt and collaborating with product and business stakeholders on what to measure and why.

You’ll own the event taxonomy, metrics catalog, and data quality gates, enabling self-serve analytics and scalable insights across a fast-growing EdTech company.