About the project
Join the BI Platform team of a leading European parcel and logistics group, present in around 40 countries. The team builds the data foundation for decision-making across the group. You’ll help make sales and financial performance measurable end to end, from leads and new customers to parcel volumes, pricing, revenue, costs and profitability.

What you’ll do

Design and continuously improve group-wide data quality controls for Sales and Finance data products, covering completeness, accuracy, consistency, validity, timeliness and uniqueness
Translate business rules into measurable data quality rules, automated tests, monitoring and alerting
Build data quality dashboards, scorecards, issue logs and service-level indicators across countries and business functions
Analyse anomalies, perform root-cause analysis and coordinate remediation with data owners, source-system teams and data product teams
Embed automated quality checks into data pipelines so defects are caught before they reach reports, analytics or AI use cases
Define critical data elements, validation standards, quality thresholds, ownership and escalation paths, in line with the data governance framework
Contribute to shared engineering standards, documentation and reusable data quality components

What we’re looking for

Degree in Computer Science, Business Informatics, Data Engineering, Mathematics, Finance, Industrial Engineering or a related field
Several years of experience in data quality, data engineering, analytics engineering or a similar role
Strong SQL and hands-on experience with data profiling, validation, reconciliation, root-cause analysis and automated testing
Experience with cloud data platforms and pipelines, ideally Snowflake, including data modelling and transformation frameworks (e.g. dbt)
Knowledge of data quality dimensions, metadata, lineage and data governance principles
Understanding of Sales and Finance processes and data (customer and lead management, revenue, pricing, costs, profitability, financial reporting)
Python, version control and CI/CD practices
Practical use of AI tools for data profiling, anomaly detection, root-cause analysis and documentation
Ability to explain quality issues in a business-oriented way
Very good English

Nice to have

German or another European language

What can you expect from us?

Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.

100% Remote opportunities

We want you to have the flexibility to work where you feel most comfortable and productive.

International Career

You can expect professional growth and to be connect with the world.
We are represented in Portugal, Belgium, Luxembourg, and Denmark.
And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)

Extra Benefits & Perks

If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help!

As a plus, we provide Health and Life Insurance.

Data Quality Engineer - Sales & Finance

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