Senior Data Engineer: Data Governance & Quality (Remote)

A2IT Technology; Lisboa; Híbrido; EUR 70 000 - 110 000; Tempo integral

Resumo da oferta

A2IT Technology in Lisbon seeks a Senior Data Engineer to define and implement Data Governance and Data Quality standards across the organization, collaborating with technical and business stakeholders. You'll shape data ownership, stewardship, and cataloging practices using Microsoft Fabric and Databricks.

The role requires a strong background in data architectures (Data Lake, Lakehouse, NoSQL) and hands-on experience with Azure/AWS/GCP cloud platforms.

Qualificações

• Bachelor07s degree or higher in a related discipline.
• Strong experience in Data Governance and Data Quality, including ownership, stewardship, glossary, catalog and lineage.
• Experience with Data Governance and/or Data Quality tools.
• Knowledge of Data Lake, Lakehouse and NoSQL architectures.

Responsabilidades

• Define and evolve Data Governance & Data Quality frameworks, standards, policies and guidelines.
• Define Data Quality methodologies, rules, metrics and KPIs.
• Drive strategic Data Governance & Data Quality initiatives across teams and technologies.
• Monitor governance and quality maturity, identify improvement opportunities and promote best practices across the organization.

Conhecimentos

Data Governance

Data Quality

Data Ownership

Data Stewardship

Business Glossary

Data Catalog

Data Lineage

Data Lake

Lakehouse

NoSQL

Azure

AWS

GCP

Microsoft Fabric

Databricks

Stakeholder Management

Communication

Portuguese

English

Formação académica

Bachelor07s degree in Computer Engineering, Software Engineering, Information Systems, Information Management or a related field

Ferramentas

Microsoft Fabric

Databricks

Jira

Confluence

Descrição da oferta de emprego

A2IT Technology in Lisbon seeks a Senior Data Engineer to define and implement Data Governance and Data Quality standards across the organization, collaborating with technical and business stakeholders. You'll shape data ownership, stewardship, and cataloging practices using Microsoft Fabric and Databricks.

The role requires a strong background in data architectures (Data Lake, Lakehouse, NoSQL) and hands-on experience with Azure/AWS/GCP cloud platforms.