Data Engineer (Data Quality)

NOBA Bank Group; Stockholms kommun; Hybrid; SEK 700,000 - 900,000; Full time

Job summary

NOBA Bank Group is seeking a Data Engineer focused on data quality to ensure the bank's data is accurate, consistent and trusted. You will design and implement data quality checks and automated tests in Databricks and dbt pipelines, and collaborate with data owners across the organization.

This role offers hybrid work with two in-office days, emphasizing teamwork, collaboration, and practical impact as you monitor metrics and help fix issues at the source.

Qualifications

• Design and implement data quality checks and automated tests in Databricks and dbt pipelines.
• Define, measure, and report on data quality metrics together with data owners and stakeholders.

Responsibilities

• Design and implement data quality checks and automated tests in Databricks and dbt pipelines.
• Define, measure, and report on data quality metrics together with data owners and stakeholders.

Skills

Data quality checks

Databricks

dbt

Tools

Databricks

dbt

Job description

As a Data Engineer focused on data quality in NOBA Bank Group, you'll make sure the data our bank relies on is accurate, consistent and trusted. You'll build the checks, tests and monitoring that catch problems early, and work with teams across the bank to fix them at the source.

About The Role

The Data & Analytics Engineering department brings together specialists in data infrastructure, analytics, and data management. Together we build a modern and reliable data foundation that supports decision making across the business. This role is in the Data Management & New Initiatives team.

This is a great opportunity to enjoy a high degree of self-responsibility and to expand your expertise into areas of your interest. You'll collaborate broadly and see the tangible results of your work.

We offer a hybrid working model with two common in-office days. While we value flexibility, we also prioritize collaboration, team building, and enjoying fikas and after work gatherings together!

Main Tasks

• Design and implement data quality checks and automated tests in Databricks and dbt pipelines
• Define, measure, and report on data quality metrics together with data owners and stakeholders