Salary
≈ $28k – $71k per year (Estimated)
Location
In office (Lisbon)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Sep 24, 2026. Teamlyzer scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Teamlyzer is a Portuguese platform where IT professionals share independent reviews of what it is like to work at technology companies in Portugal. Users read and write anonymous company reviews and job interview experiences, helping developers compare employers, while the site also lists tech job offers. It focuses on the Portuguese IT market and aims to bring transparency to technology employers.
Sobre a vaga
We are seeking a highly qualified professional to join our team as a Data Engineer. You will be responsible for designing, building, and optimizing scalable data solutions that support analytics, reporting, and business decision-making. We are looking for a professional with strong expertise in data engineering, cloud platforms, ETL/ELT development, and data governance.
O que vais fazer
- Design, develop, and maintain scalable data pipelines and workflows for structured and unstructured data
- Build reusable frameworks for data ingestion, transformation, validation, and optimization
- Develop and optimize ETL/ELT processes using Python and SQL
- Deploy and support data solutions in production environments, ensuring reliability and performance
- Automate data flows to enable efficient and seamless data consumption across the organization
- Develop and maintain internal tools and applications to support data operations
- Monitor data pipelines, data quality metrics, and system performance
- Implement and promote best practices for data governance, data security, and data quality
- Collaborate with business stakeholders and technical teams to understand requirements and deliver effective solutions
- Contribute to the continuous improvement of data engineering processes and standards
- Stay up to date with emerging technologies, industry trends, and data engineering best practices
O que é pedido
- Minimum of 3 years of experience in Data Engineering or related technical roles
- Strong proficiency in Python and SQL for data manipulation, transformation, and automation
- Experience designing, building, and maintaining data pipelines and workflows
- Knowledge of ETL/ELT processes and modern data integration patterns
- Experience working with cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP)
- Understanding of data modeling, database design, and data warehousing concepts
- Knowledge of data governance, data quality, security, and compliance principles
- Experience managing databases and ensuring data reliability and performance
- Strong analytical, troubleshooting, and problem-solving skills
- Ability to communicate technical concepts to both technical and non-technical stakeholders
- Experience collaborating with cross-functional teams in agile environments
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field
- Fluent in English (C1 or above), with excellent written and verbal communication skills
Valorizado
- Cloud certifications in Azure, AWS, or Google Cloud Platform
- Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or similar
- Knowledge of big data technologies and distributed processing frameworks
- Additional language skills, such as French
- Experience working in international and multicultural environments
O que é oferecido
- Opportunities to keep skills relevant through certifications, learning, and diverse work experiences
Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.
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