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Open nowFirst seen 25 hours ago

Data Quality Engineer

Nimber236 open roles

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Your applicationOpen nowData Quality EngineerNimber

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 25 hours ago

The posting

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!

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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