Data Quality Engineer – Sales & Finance
IT Services and IT Consulting · 51-200 employees
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About the role
Design and improve data quality controls, automated tests, monitoring, dashboards, and standards for Sales and Finance data products. Investigate data anomalies, coordinate remediation with relevant teams, and embed quality checks into data pipelines.
What they look for
Requirements
Requires a relevant degree and several years of experience in data quality, data engineering, analytics engineering, or a similar role, with strong SQL and hands-on testing and analysis experience. Candidates should know cloud data platforms such as Snowflake, data transformation frameworks such as dbt, data governance, Sales and Finance processes, Python, version control, and CI/CD; very good English is required.
Benefits
Full description
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.
