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Data Quality Engineer

Design and improve data quality controls for Sales and Finance data products, build dashboards, embed automated checks, and partner with stakeholders to enhance data reliability.

  • Porto, Portugal +1 more
  • Full-time
  • Hybrid
  • Posted Nov 12, 2026
INDUSTRYSoftware & InternetData & Analytics

Locations (2)

  • Porto, Portugal
  • Lisbon, Lisbon District, Portugal

Responsibilities

  • Design and improve data quality controls for Sales and Finance data products
  • 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

Nice to have: German language

Skills

SQLSnowflakePythonversion controlCIdeployment practicesdata qualitydata governanceAI tools for data profilinganomaly detectionroot-cause analysisSnowflake

Full 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? If you're tired of feeling like just a number, send us your application and become a Nimber!

Data Quality Engineer at Nimber | Referso Jobs