Data Engineer

DataSmart Lda; Lisboa; Híbrido; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

DataSmart Lda in Lisbon is looking for a Data Engineer to design, develop, and maintain scalable data solutions. You will optimize ETL processes and work with data warehouses and lakes using Azure.

The ideal candidate has at least 3 years of experience and strong skills in SQL and Power BI. This hybrid position requires collaboration with analysts and stakeholders to support data needs.

Qualificações

• 3+ years of experience as a Data Engineer, BI Engineer, Analytics Engineer, or similar role.
• Hands-on experience with Microsoft Power BI, including Data Modeling, DAX, Power Query, Dataflows.
• Experience with Python and/or PySpark for data processing.

Responsabilidades

• Design, develop, and maintain scalable data pipelines and data integration solutions.
• Build and optimize ETL/ELT processes to support data analytics and reporting requirements.
• Collaborate with business stakeholders to understand data requirements.

Conhecimentos

SQL development

ETL/ELT pipelines design

Microsoft Power BI

Python

Data warehousing concepts

Data modeling

Agile/Scrum methodologies

Formação académica

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field

Ferramentas

Power BI

Git

Descrição da oferta de emprego

Data Engineer (Hybrid – Lisbon)

We are seeking a Data Engineer to design, develop, and maintain scalable data pipelines and data integration solutions.

What You'll Do

• Design, develop, and maintain scalable data pipelines and data integration solutions.
• Build and optimize ETL/ELT processes to support data analytics and reporting requirements.
• Develop and maintain data warehouses, data lakes, and lakehouse architectures in Azure.
• Implement data ingestion processes from multiple structured and unstructured data sources.
• Collaborate with business stakeholders, analysts, and data scientists to understand data requirements and deliver effective solutions.
• Design and implement data models that support business intelligence and analytics initiatives.
• Develop and optimize Power BI datasets, dataflows, and reporting environments.
• Monitor data quality, performance, reliability, and security across the data platform.
• Troubleshoot and resolve data-related issues, ensuring high availability and data integrity.
• Implement data governance, compliance, and security best practices.
• Automate data workflows and deployments using CI/CD methodologies.
• Document technical solutions, architectures, and operational procedures.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 3+ years of experience as a Data Engineer, BI Engineer, Analytics Engineer, or similar role.
• Strong SQL development and performance tuning skills.
• Experience designing and implementing ETL/ELT pipelines.
• Hands‑on experience with Microsoft Power BI, including: Data Modeling, DAX, Power Query, Dataflows, Dataset Management
• Experience with Python and/or PySpark for data processing.
• Understanding of data warehousing concepts and dimensional modeling (Star Schema, Snowflake Schema).
• Experience working with REST APIs and integrating external data sources.
• Knowledge of Git and version control best practices.
• Experience with Agile/Scrum methodologies.