IT House is looking for a Senior Data Engineer for a direct placement with an end client in the Logistics and Transportation sector.
Main Responsibilities
- Design, develop, and maintain scalable data pipelines
- Implement data integration processes using NiFi, Airflow, Apache Kafka, and Universal Messaging
- Ensure data quality, integrity, and security throughout the data lifecycle
- Continuously 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 client’s organization;
- Contract terms aligned with the candidate’s profile and experience;
- Hybrid work model (Porto);
- 24 vacation days per year and additional benefits.
Apply by sending your resume.