Data Quality Engineer - Remote, Automate & Govern Data

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

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.