Data Quality Engineer – Sales & Finance

Bridge 351; Lisboa; Remote; EUR 50,000 - 80,000; Full time

Benefits offered by this job

Health and life insurance

Tech Visa assistance

100% remote work

Job summary

Bridge351 is seeking a Data Quality Engineer to join the BI Platform team. You will design and enforce data quality across Sales and Finance data, translate rules into automated tests, and build dashboards to monitor quality across countries.

The role emphasizes SQL, Snowflake workflows with dbt, Python, and CI/CD practices, enabling reliable end-to-end data for leadership insights. Remote-friendly across the European region with 100% remote opportunities.

Qualifications

• 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

Responsibilities

• Design and continuously improve group-wide data quality controls for Sales and Finance data products
• Translate business rules into measurable data quality rules, automated tests, monitoring and alerting
• Build data quality dashboards, scorecards, issue logs and SLIs across countries and functions
• Analyse anomalies, perform root-cause analysis and coordinate remediation with data owners and data product teams
• Embed automated quality checks into data pipelines so defects are caught before they reach reports or analytics
• Define critical data elements, validation standards, quality thresholds, ownership and escalation paths
• Contribute to shared engineering standards, documentation and reusable data quality components

Skills

SQL

Data profiling

Validation

Root-cause analysis

Automated testing

Python

CI/CD practices

AI tools

Data governance

Sales and Finance data

Education

Degree in Computer Science or related field

Tools

Snowflake

dbt

Job 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.