Data Engineer: Scale Pipelines & Analytics

Acolad group; Oeiras; Presencial; EUR 42 000 - 65 000; Tempo integral

Resumo da oferta

Acolad group is seeking a Data Engineer to design, build, and maintain data infrastructure powering analytics and product insights across the organization.

You will develop scalable pipelines, optimize data architectures, and ensure data quality and security while collaborating with data analysts, data scientists, and product teams. Fluent English required; Bachelor’s degree in a related field; Lisbon area presence preferred.

Qualificações

• 2–5 years of experience in data engineering, data warehousing, or backend engineering with a strong data focus.
• Experience designing and maintaining production-grade ETL/ELT pipelines.
• Experience working with cloud-based data platforms.

Responsabilidades

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize data architectures to support analytics, reporting, and ML workloads.
• Ensure data models are well documented and aligned with business needs.
• Collaborate with analysts, data scientists, and product teams to translate requirements into technical specs.
• Monitor pipelines, troubleshoot issues, and optimize performance.

Conhecimentos

Data modeling

ETL/ELT design

Distributed systems

Analytical thinking

Cross-functional collaboration

Data governance

Formação académica

Bachelor's Degree in Computer Science, Information Systems, Engineering, Mathematics, or related field

Ferramentas

SQL & relational databases

PostgreSQL

MySQL

SQL Server

Cloud data platforms (AWS, GCP, Azure)

Airflow

dbt

Glue / Dataflow

Kafka

Spark

Python

Scala

API integrations

Git / CI/CD

Docker / Kubernetes

Power BI / Tableau / Looker

Descrição da oferta de emprego

Acolad group is seeking a Data Engineer to design, build, and maintain data infrastructure powering analytics and product insights across the organization.

You will develop scalable pipelines, optimize data architectures, and ensure data quality and security while collaborating with data analysts, data scientists, and product teams. Fluent English required; Bachelor’s degree in a related field; Lisbon area presence preferred.