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;
• Hands-on experience with Azure and platforms such as Databricks, Teradata and Cloudera;
• Solid knowledge of modern database and cloud data architectures;
• Familiarity with Terraform, Git, CI/CD, and Agile tools such as Jira;
• 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 to Candidatura Online