Data Quality Engineer – Sales & Finance Group

Axians | Digital Solutions - Tech Talent; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Employee assistance program

Training & certifications

Performance bonuses

Resumo da oferta

Axians | Digital Solutions - Tech Talent is seeking a Group Data Quality Engineer for Sales & Finance to ensure reliable data products supporting strategic decisions. You will implement quality controls, governance, and automated tests across the full data lifecycle, collaborating with business and technical teams.

You will translate rules into measurable checks, build dashboards, and drive remediation with data owners and engineers while contributing to scalable, data-driven practices across

Qualificações

• Degree in computer science, data engineering, mathematics or a comparable field.
• Several years of practical experience in data quality, data engineering, or a related role.
• Strong SQL skills and hands-on data profiling, validation, and automated testing.

Responsabilidades

• Design and continually improve data quality controls for Sales and Finance data products.
• Translate business rules into measurable data quality rules, tests, and alerts.
• Build dashboards, scorecards, and SLIs for transparent reporting across countries.
• Analyze data anomalies and coordinate remediation with data owners and teams.
• Embed automated data quality checks into pipelines and development processes.

Conhecimentos

SQL

Data profiling

Automated testing

Data governance

Snowflake

Python

CI/CD

Communication

Analytical thinking

English proficiency

Formação académica

Degree in data engineering

Ferramentas

Snowflake

Version control

CI/CD pipelines

Data modeling

ETL tools

Descrição da oferta de emprego

Axians | Digital Solutions - Tech Talent is seeking a Group Data Quality Engineer for Sales & Finance to ensure reliable data products supporting strategic decisions. You will implement quality controls, governance, and automated tests across the full data lifecycle, collaborating with business and technical teams.

You will translate rules into measurable checks, build dashboards, and drive remediation with data owners and engineers while contributing to scalable, data-driven practices across