Data Engineer: ETL/ELT Pipelines & Analytics

LiveWords B.V.; Lisboa; Presencial; EUR 40 000 - 70 000; Tempo integral

Resumo da oferta

Acolad in Lisbon is seeking a Data Engineer to design, build, and maintain scalable data infrastructure powering analytics, reporting, and data‑driven decision‑making across the organization. This role ensures data are collected, processed, and delivered reliably, securely, enabling teams to leverage high‑quality datasets for business insights and product innovation.

You will partner with data analysts, data scientists, product teams and stakeholders to translate business needs into technical

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 machine learning workloads.
• Ensure data models and structures are efficient, well documented, and aligned with business needs.
• Monitor pipeline performance, troubleshoot issues, and implement performance improvements.
• Partner with data analysts, data scientists, product teams, and business stakeholders to understand data requirements.

Conhecimentos

Data modeling

ETL/ELT design

Analytical thinking

Cross-functional collaboration

Data governance

Data quality

Communication

Formação académica

Bachelor's degree

Ferramentas

SQL

PostgreSQL

BigQuery

Redshift

Airflow

dbt

Spark

Power BI

Descrição da oferta de emprego

Acolad in Lisbon is seeking a Data Engineer to design, build, and maintain scalable data infrastructure powering analytics, reporting, and data‑driven decision‑making across the organization. This role ensures data are collected, processed, and delivered reliably, securely, enabling teams to leverage high‑quality datasets for business insights and product innovation.

You will partner with data analysts, data scientists, product teams and stakeholders to translate business needs into technical