Databricks Data Engineer — Pipelines & Governance (Lisbon)

Next Engineering; Lisboa; Híbrido; EUR 12 000 - 16 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Food Allowance

Flex Benefits

Other current benefits

Resumo da oferta

Next Engineering in Lisbon offers a bold, hybrid role focusing on modern data platforms. You will migrate Azure Synapse capabilities to Databricks, build and optimize data pipelines, and implement a data vault architecture with layered data lake practices.

We value hands-on Databricks experience, data governance, and collaboration with cross-functional teams to accelerate Databricks adoption. The role is based in Lisbon with a hybrid work model and competitive benefits.

Qualificações

• Strong hands-on experience with Databricks.
• Background in Data Engineering, including building and optimizing data pipelines and data lake architectures.
• Experience with data governance practices, including data catalog and data lineage.
• Knowledge of Data Vault modeling is valued.
• Experience with Databricks AI/ML capabilities is a plus.

Responsabilidades

• Migrate Azure Synapse data engineering capabilities to Databricks.
• Build, optimize, and maintain data transformation pipelines across Bronze, Silver, and Gold layers within a Data Vault architecture.
• Develop scalable data engineering solutions following data lake and layered architecture best practices.
• Contribute to data governance initiatives, including data catalog and data lineage implementation.
• Collaborate with engineering teams to accelerate Databricks adoption and migration capabilities.
• Optimize data pipelines for performance, reliability, and maintainability.

Conhecimentos

Databricks

Data Engineering

Data governance

Data Vault modeling

Databricks AI/ML

Descrição da oferta de emprego

Next Engineering in Lisbon offers a bold, hybrid role focusing on modern data platforms. You will migrate Azure Synapse capabilities to Databricks, build and optimize data pipelines, and implement a data vault architecture with layered data lake practices.

We value hands-on Databricks experience, data governance, and collaboration with cross-functional teams to accelerate Databricks adoption. The role is based in Lisbon with a hybrid work model and competitive benefits.