Data Engineer: Build & Optimise Cloud Pipelines

InnoTech; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Mental health support

25 days vacation

Birthday/bridging day off

School supplies voucher

Pet care partnerships

Team events and wellness programs

Resumo da oferta

InnoTech is seeking a Mid Data Engineer to join our data team in Portugal. You will design and maintain cloud-first data pipelines, leveraging Fabric, ADF and Synapse, and contribute to scalable data architectures. English proficiency required, EU work permit preferred.

Join 180+ InnoTechers advancing our data capabilities and wellbeing-focused culture. You will collaborate with cross-functional teams to deliver reliable data solutions, implement best practices, and continuously improve data

Qualificações

• 3+ years in data engineering with cloud-native architecture.
• Experience with Fabric, ADF or Synapse or equivalent.
• Strong SQL and scripting (Python, Spark); English B2+.

Responsabilidades

• Develop and maintain reliable data pipelines using cloud-based technologies.
• Build and improve data solutions on Fabric, ADF, Synapse, or similar platforms.
• Implement, troubleshoot, and optimize data workflows with quality testing.
• Contribute to data architecture and ETL/ELT solutions with version control.

Conhecimentos

Data engineering

Cloud data platforms

SQL

Python

Spark

ETL/ELT

CI/CD for data

Formação académica

BSc in Computer Science/Engineering

MSc in Information Technology or related

Ferramentas

Microsoft Fabric

Azure Data Factory

Azure Synapse

Azure / AWS / GCP

Descrição da oferta de emprego

InnoTech is seeking a Mid Data Engineer to join our data team in Portugal. You will design and maintain cloud-first data pipelines, leveraging Fabric, ADF and Synapse, and contribute to scalable data architectures. English proficiency required, EU work permit preferred.

Join 180+ InnoTechers advancing our data capabilities and wellbeing-focused culture. You will collaborate with cross-functional teams to deliver reliable data solutions, implement best practices, and continuously improve data