IT House is looking for a Senior Data Engineer for a direct placement with an end client in the Logistics and Transportation sector.
Main Responsabilities
- Design, develop and maintain scaleable data pipelines
- Implement data integration processes using nifi, Airflow, Apache Kafka and Universal Messaging
- Ensure data quality, integrity, and security throughout the data lifecycle
- Continously explore and evaluate new technologies
- Collaborate with BI specialists, data scientists and cloud engineers
Requirements
- At least 5 years of experience in similar roles;
- Advanced SQL and Python skills;
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Hands-on experience with Azure and platforms such as Databricks, Teradata and Cloudera;
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Solid knowledge of modern database and cloud data architectures;
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Familiarity with Terraform, Git, CI/CD, and Agile tools such as Jira;
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Excellent English communication and stakeholder collaboration skills.
Benefits
- Direct integration into the end clients organization;
- Contractual conditions aligned with the candidates profile and experience;
- Hybrid working model (Porto);
- 24 vacation days per year and additional benefits.
Apply by sending your CV.