Data Quality Engineer

Nimber; Lisboa; Hybrid; EUR 45,000 - 65,000; Full time

Job summary

Nimber is seeking a Data Quality Engineer to join our BI Platform Team. You will design and improve data quality controls for Sales and Finance data products, turning business rules into automated tests and dashboards.

The role blends data governance, anomaly analysis, and cross-country collaboration in a hybrid Porto/Lisbon setting. You will work with Snowflake-based pipelines, craft data quality standards, and partner with Sales and Finance to increase data reliability and trust across our

Qualifications

• Degree in Computer Science, Data Engineering, Mathematics, Finance or similar.
• Several years of experience in data quality, data engineering or analytics engineering.
• Strong SQL: data profiling, validation, reconciliation and automated testing.
• Cloud data platforms and pipelines, ideally Snowflake, including data modelling and transformation frameworks.
• Python, version control, CI and deployment practices.
• Knowledge of data quality dimensions, monitoring, metadata, lineage and data governance.
• Understanding of Sales and Finance data (customers, revenue, pricing, costs, profitability, reporting).
• Practical experience using AI tools for data profiling, anomaly detection and root-cause analysis.
• Ability to turn business definitions into testable rules and communicate quality issues clearly.
• Analytical, detail-oriented, proactive and independent, comfortable working across teams and countries.
• Very good English.
• German or another European language (highly valued).

Responsibilities

• Design and improve data quality controls for Sales and Finance data products (completeness, accuracy, consistency, validity, timeliness, uniqueness);
• Turn business rules into data quality rules, automated tests, monitoring and alerting;
• Build data quality dashboards, scorecards and service-level indicators;
• Analyse anomalies, perform root-cause analysis and coordinate remediation with data owners and source-system teams;
• Embed automated quality checks into data pipelines;
• Define critical data elements, validation standards, thresholds and ownership in line with data governance;
• Partner with Sales and Finance stakeholders to improve the reliability of their data.

Skills

SQL proficiency

Python

CI/CD

Data quality

Cloud data platforms

Snowflake

Data modeling

Data governance

Data testing

English

German language

Analytical thinking

Education

Degree in Computer Science / Data Engineering / Mathematics / Finance

Tools

Snowflake

Git

CI/CD tooling

Job description

Hey there, think you stumbled upon this job posting by chance?

We don't believe in chance at Nimber.

Caught your eye? Great. Keep going...

We are Nimber, and we are not just filling positions, we are building a team that is ready to shake things up. If you are ready to rewrite the rules and make a real impact, this is your moment. Join us and let's put the future where it belongs. In the hands of passionate people.

But what does Nimber mean?

In mathematics and game theory, they are numbers with special properties of addition and multiplication. And what we really want is to add value to customers' projects.

Position: Data Quality Engineer

Location: Porto/Lisbon

Work model: Hybrid (1day per week in the office)

Join a BI Platform Team making sales and financial performance transparently measurable, in an international environment.

Responsibilities

• Design and improve data quality controls for Sales and Finance data products (completeness, accuracy, consistency, validity, timeliness, uniqueness);
• Turn business rules into data quality rules, automated tests, monitoring and alerting;
• Build data quality dashboards, scorecards and service-level indicators;
• Analyse anomalies, perform root-cause analysis and coordinate remediation with data owners and source-system teams;
• Embed automated quality checks into data pipelines;
• Define critical data elements, validation standards, thresholds and ownership in line with data governance;
• Partner with Sales and Finance stakeholders to improve the reliability of their data.

Requirements

• Degree in Computer Science, Data Engineering, Mathematics, Finance or similar;
• Several years of experience in data quality, data engineering or analytics engineering;
• Strong SQL: data profiling, validation, reconciliation and automated testing;
• Cloud data platforms and pipelines, ideally Snowflake, including data modelling and transformation frameworks;
• Python, version control, CI and deployment practices;
• Knowledge of data quality dimensions, monitoring, metadata, lineage and data governance;
• Understanding of Sales and Finance data (customers, revenue, pricing, costs, profitability, reporting);
• Practical experience using AI tools for data profiling, anomaly detection and root-cause analysis;
• Ability to turn business definitions into testable rules and communicate quality issues clearly;
• Analytical, detail-oriented, proactive and independent, comfortable working across teams and countries;
• Very good English;
• German or another European language (highly valued).

Ready to join us and succeed?