Data Engineer - Data Governance & Quality (Lisbon/Porto)

PrimeIT; Lisboa; Presencial; EUR 14 000 - 24 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Food Allowance

Flex Benefits

Resumo da oferta

PrimeIT is seeking a Data Engineer to join our team in Lisbon or Porto. You will work on defining and implementing data governance and data quality frameworks while supporting strategic governance initiatives.

The role targets mid-level professionals with 3 to 6 years of experience in data engineering and strong command of governance practices. Work involves creating data catalogs, lineages, and KPIs to measure maturity and adoption.

Qualificações

• 3 to 6 years of experience in data engineering or related field.
• Strong knowledge of data governance and data quality concepts.
• Experience with cloud platforms (Azure/AWS/GCP) is a plus.

Responsabilidades

• Define, document and evolve Data Governance and Data Quality frameworks and policies.
• Define and implement Data Quality methodologies, rules and metrics.
• Establish mechanisms to monitor and resolve Data Quality issues.
• Define and maintain Data Governance standards across platforms.
• Lead and contribute to data governance initiatives from design to adoption.
• Define Data Governance operating models including ownership and stewardship.
• Support the implementation of Business Glossaries, Data Catalogs and lineage.
• Define KPIs and reporting to measure governance maturity and adoption.
• Provide guidance to teams on governance best practices.

Conhecimentos

Data Governance

Microsoft Fabric

Databricks

Data Lake/Lakehouse

NoSQL Databases

Cloud Platforms

Descrição da oferta de emprego

PrimeIT is seeking a Data Engineer to join our team in Lisbon or Porto. You will work on defining and implementing data governance and data quality frameworks while supporting strategic governance initiatives.

The role targets mid-level professionals with 3 to 6 years of experience in data engineering and strong command of governance practices. Work involves creating data catalogs, lineages, and KPIs to measure maturity and adoption.