Data Engineer/Architects - Databricks

Askblue; Lisboa; Híbrido; EUR 55 000 - 85 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Insurance

3.5 days leave

22 vacation days

Udemy access

Resumo da oferta

Askblue seeks a Data Engineer/Architect with Databricks expertise to join a Lisbon-based project. You will design data platforms in Azure, build pipelines, migrate to the cloud, and enable AI workloads across business domains.

The role offers a fully remote arrangement with benefits including health insurance, Udemy access, and generous vacation. You will collaborate with cross-functional teams and contribute to AI governance and data quality initiatives.

Qualificações

• Strong experience with Azure Data Platform.
• Hands-on Databricks experience.
• Experience building ETL/ELT pipelines.
• Strong SQL skills.
• Experience with Delta Lake and Lakehouse architecture.
• Knowledge of Azure Data Factory or equivalent orchestration tools.
• Experience with CI/CD and DevOps practices for Data Engineering.
• Understanding of Data Governance and Data Quality principles.
• Experience working in Agile environments.

Responsabilidades

• Design, develop and maintain scalable data platforms using Azure and Databricks.
• Build and optimize data pipelines supporting analytics and AI workloads.
• Migrate legacy on-premises Enterprise Data Warehouse solutions to modern cloud architectures.
• Develop robust Lakehouse solutions based on Databricks and Delta Lake.
• Collaborate with AI teams to enable Machine Learning and Generative AI workflows.
• Implement data quality, governance and security best practices.
• Support the implementation of Customer 360 capabilities across multiple business domains.
• Contribute to AI Governance frameworks ensuring compliance, scalability and responsible AI adoption.
• Enable Agentic AI use cases by delivering reliable and well-governed data foundations.
• Partner with Product Development teams to create AI-driven forecasting and cost prediction solutions for new product launches.
• Collaborate with cross-functional teams across Digital, Data, Finance and Commercial functions.

Conhecimentos

Azure Data Platform

Databricks

ETL/ELT pipelines

SQL

Delta Lake

Azure Data Factory

CI/CD

Data Governance

Agile

Ferramentas

Delta Lake

Azure Data Factory

CI/CD pipelines

Descrição da oferta de emprego

Do you know askblue? We were born in 2013, and we provide services in the field of information technology.

We are looking for a Data Engineer/Architects – Databricks to join our company in one of our projects, in Lisbon.

Key Responsibilities

• Design, develop and maintain scalable data platforms using Azure and Databricks.
• Build and optimize data pipelines supporting analytics and AI workloads.
• Migrate legacy on-premises Enterprise Data Warehouse solutions to modern cloud architectures.
• Develop robust Lakehouse solutions based on Databricks and Delta Lake.
• Collaborate with AI teams to enable Machine Learning and Generative AI workflows.
• Implement data quality, governance and security best practices.
• Support the implementation of Customer 360 capabilities across multiple business domains.
• Contribute to AI Governance frameworks ensuring compliance, scalability and responsible AI adoption.
• Enable Agentic AI use cases by delivering reliable and well-governed data foundations.
• Partner with Product Development teams to create AI-driven forecasting and cost prediction solutions for new product launches.
• Collaborate with cross-functional teams across Digital, Data, Finance and Commercial functions.

Required Skills

• Strong experience with Azure Data Platform.
• Hands-on experience with Databricks.
• Experience building ETL/ELT pipelines.
• Strong SQL skills.
• Experience with Delta Lake and Lakehouse architecture.
• Knowledge of Azure Data Factory or equivalent orchestration tools.
• Experience with CI/CD and DevOps practices for Data Engineering.
• Understanding of Data Governance and Data Quality principles.
• Experience working in Agile environments.

Work Arrangement

• Full Remote

Offer

• Health Insurance;
• 3 and a half days of leave per year + 22 vacation days;
• Unlimited access to Udemy.

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