Data Engineer - Lisboa

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Translate the business requirements into technical specifications, in cooperation with the data product owner.
Design, develop, and maintain robust and scalable data pipelines using Airflow.
Utilize dbt for data transformation and modeling, ensuring data quality and consistency.
Employ Terraform for infrastructure as code (Ia
C), automating the provisioning and management of our data infrastructure.
Implement and maintain CI/CD pipelines for data engineering workflows.
Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks.
Implement data quality checks and monitoring to ensure data accuracy and reliability.
Contribute to the development of data engineering best practices and standards.
Manage and maintain data repositories using Git.
Automate
- related tasks to improve efficiency and reduce manual effort.
Cooperate with the support teams and provide L3 support to comply with predefined SLA’s

KEY QUALIFICATIONS

University degree in computer science, engineering, or comparable field.
3-5 years of experience as a Data Engineer or in a similar role.
Experience with data warehousing concepts and technologies.
Hands-on experience with Google Cloud Platform (GCP) data services (, Big
Query, Cloud Storage)
Knowledge of dbt and version management tools ( Git).
Experience with infrastructure as code (Ia
C) using Terraform.
Experience with workflow orchestration tools such as Airflow.
Strong proficiency in Python and SQL.
Strong
- solving and analytical skills.
Excellent communication and collaboration skills.

PREFERRED QUALIFICATIONS

Experience with CI/CD pipelines.
Experience working with SAP platforms as data sources (, SAP ECC, SAP S/4HANA, SAP BW, SAP Datasphere).
Knowledge of SAP data structures and extraction methods.
Knowledge of data visualization tools ( Looker).

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