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Fluência obrigatória em português e inglês, tanto escrito como falado. Implementar soluções de processamento (Batch e Streaming) onde o desempenho é essencial;
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Senior Data Engineer (Python & Azure)

Timestamp -
1700 Lisboa

Candidatura rápida

Detalhes da oferta

Há 4 dias

Descrição completa da oferta

Timestamp Group aggregates several leading Portuguese IT solutions and services companies around the concepts of excellence and knowledge sharing. We are committed to technological leadership, based on the quality of our service and technological solutions, supported by continuous training and certification.

We are looking for a Senior Data Engineer to support the development, stabilization, and operation of enterprise-grade data products within the Energy Economics domain.

The project focuses on integrating and processing data from multiple energy markets, delivering high-quality, scalable, and reliable data products that enable business stakeholders to make data-driven decisions. Working within a modern cloud-based environment, you will contribute to the design, implementation, and optimization of production-ready data pipelines and data platforms.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and integration solutions using Python and Azure.
Stabilize and improve existing data processing implementations.
Implement new features and complete missing data pipelines.
Develop high-quality, maintainable, and well-tested production code following software engineering best practices.
Perform code, architecture, and design reviews, providing technical recommendations.
Troubleshoot complex production issues and perform root-cause analysis.
Contribute to CI/CD processes, release management, and DevOps practices for data workloads.
Collaborate with technical teams and business stakeholders to deliver reliable data products.
Document technical solutions, engineering decisions, and operational procedures.

Required Skills

4+ years of professional experience in Python development for production applications.
Strong background in Software Engineering or Backend Development, preferably in data-intensive or distributed systems.
Hands-on experience with Microsoft Azure, including:
- Azure Data Factory
- Azure Data Lake Storage (ADLS)
- Azure Functions
- Event Grid
Experience designing and operating scalable data pipelines.
Strong knowledge of data modelling (Dimensional Modelling, Domain-Driven Design, Event-Driven Architecture).
Experience with Git-based development workflows, CI/CD, Azure DevOps, and release management.
Proven experience troubleshooting complex production environments.

Preferred Skills

Apache Spark and Databricks.
Advanced SQL and relational database design.
Cloud security, IAM, and environment configuration.
Data quality, observability, governance, and lineage.
Data products, data contracts, SLAs/SLOs.
Enterprise-scale data platforms.
Schema evolution and metadata management.
Kafka, Azure Event Hub, or Spark Structured Streaming.

Employee Benefits:

Health insurance
Flexibility in organizational routine
Training and certifications
Employee Support Program (in 5 areas, including psychology)
Birthday and seniority gifts
Monthly Happy Hour
Benefits portal with attractive offers

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We are looking for a Senior Data Engineer to support the development, stabilization, and operation of enterprise-grade data products within the Energy Economics domain.

Key Responsibilities

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Employee Benefits:

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