74 factory English-speaking jobs in Porto District

of professional experience as a Data engineer Professional experience working with Azure tools (Data Factory

expertise in Python and have experience organizing Python-based projects; Vast Experience with Azure Data Factory

Proven experience as a Data Engineer in cloud‑based environments Strong knowledge of Azure (Data Factory

Implement and maintain data pipelines using Azure Data Factory. ... Cloud Platforms: Azure Services: Proficiency in Azure Data Lake, Azure Data Factory, Azure Blob Storage ... Data Integration Tools: Azure Data Factory: Skill in designing, deploying, and managing data integration

select global category strategies and contracts · Develop strong collaboration with business unit and factory

Experience with ETL/ELT tools (e.g., Azure Data Factory, SSIS, IBM DataStage, Airflow, or similar).

Strong hands-on experience with Snowflake, dbt, and the Azure Data Stack (Azure Data Factory, Synapse

Deep understanding of SOLID principles and design patterns (Factory, Singleton, Observer, Strategy, Repository

Collaborate within your squad and the wider PHP Factory to ensure code quality and knowledge sharing.

Connect, IBM DataPower, AWS (SQS, SNS, Kinesis), Azure (Event Hubs, Service Bus, Event Grid), Azure Data Factory

Experience with SW factory tools such as GitLab, including practical knowledge with CI/CD setup.

At least 2 years of hands on experience with Azure: Data factory, Databricks and other data analytics

ETL/ELT pipelines using tools such as: Apache Airflow, dbt, Prefect, Dagster AWS Glue, Azure Data Factory

valued business partner to internal stakeholders who are responsible for launching and managing our new factory

databases; Familiarity with other cloud platforms and services for data engineering (e.g., GCP, Azure Data Factory

strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory

Experience with SW factory tools such as GitLab, including practical knowledge with CI/CD setup.

strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory

across multiple areas of the organization, including global alignment with Services, Operations, Bid Factory

Proficiency in SQL, Python, and data pipeline orchestration tools (e.g., Airflow, Azure Data Factory,