Data Quality Test Engineer

About the Company
At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development.
About the Role
You will help strengthen data quality across a portfolio of core data warehouses built on Snowflake and dbt. The environment supports business-critical data in areas such as sales, orders, inventory, manufacturing, sustainability, quality, and environmental reporting, where downstream consumers depend on stable and well-understood data.
The main challenge is twofold: improve confidence in a recently upgraded warehouse where data quality issues have affected downstream systems, and create a stronger regression safety net for future changes in other warehouses. In this role, you focus on analysis, investigation, and test design rather than implementation. You turn downstream expectations into clear data contracts and test specifications that the Data Products team can implement directly in the warehouse dbt projects.
You will work closely with data engineers, analytics engineers, data product managers, subject-matter experts, and downstream consumers to build a clear picture of usage, risks, and quality gaps. This is a great opportunity if you want to influence data quality at portfolio level in a technically mature warehouse environment.
Job DescriptionYou will map how data from SDW, OIDW, MDW, and SQE is used by core downstream systems and identify which tables, columns, refresh patterns, and dependencies matter most.
You will lead discovery sessions and stakeholder conversations with technical and semi-technical data consumers to make implicit expectations explicit.
You will define data contracts per warehouse that describe the guarantees each warehouse should provide to its consumers.
You will design prioritized test case catalogs for dbt projects, including concrete specifications for tables, columns, rules, severity, and affected consumers.
You will identify risks, regression patterns, coverage gaps, and cross-warehouse issues, with extra focus on the types of problems that can reappear when warehouses evolve.
You will hand over clear test specifications and supporting documentation to the Data Products team, who will implement the tests in the warehouse repositories.
You will focus on warehouse-side validation and quality guardrails before data reaches downstream consumers, without changing downstream application test suites.
Requirements3–8 years of experience in data quality, data testing, or data analytics engineering roles
Advanced SQL on Snowflake
Hands-on experience with dbt, including reading and tracing lineage across dbt models, and authoring dbt tests
Experience tracing data lineage across multi-hop pipelines
Conceptual familiarity with at least one data quality framework such as Great Expectations, dbt tests, Soda, Monte Carlo, or Bigeye
Demonstrated experience leading requirements or discovery conversations with technical and semi-technical data consumers
Strong written communication, with business-fluent English in both speech and writing
Nice to havePrior familiarity with SDW, OIDW, MDW, or SQE, or experience from the same environment
Experience with SQL Server
BI tool literacy, especially Power BI
What We OfferPermanent employment at Avaron AB
Occupational pension
Wellness allowance of SEK 5,000 per year
Application
Selections are made on an ongoing basis – apply as soon as you can.

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