Data Engineer | Hybrid Cascais | Pipelines & Governance

Claranet; Portugal; Hybrid; EUR 42,000 - 62,000; Full time

Benefits offered by this job

Dynamic team

Training opportunities

Career growth

Competitive salary

Job summary

Claranet in Cascais is seeking a Data Engineer to join our Talent Team on a hybrid schedule. You will design and implement data pipelines, ensure data quality, and work with modern data architectures to enable analytics and decision making.

You'll develop data solutions using Python, Apache Spark, Airflow, and dbt, collaborate with business users, and contribute to data governance and cataloguing while embracing a dynamic, growth-oriented environment.

Qualifications

• Must have proven experience with Python.
• Experience with Apache Spark.
• Experience using Apache Airflow for workflow orchestration.
• Solid knowledge of dbt (Data Build Tool).
• Experience in data modelling and transformation.
• Knowledge of analytical data architectures and Data Warehousing.
• Experience implementing data quality and Data Governance processes.

Responsibilities

• Develop and implement data transformation rules to support analytics.
• Build and maintain end-to-end data pipelines for ingestion, transformation, and delivery.
• Work with data architectures, particularly the Medallion Architecture (Bronze, Silver, Gold).
• Develop data solutions using Python, Spark, Airflow, and dbt.
• Implement and monitor data integration across cloud and on-prem environments.
• Contribute to Data Governance initiatives, data cataloguing, and metadata management.
• Ensure data lineage and metadata management with tools like OpenMetadata.
• Collaborate with business and analytics teams to meet reporting needs.

Skills

Python

Apache Spark

Apache Airflow

dbt

Data modelling

Data warehousing

Data governance

Job description

Claranet in Cascais is seeking a Data Engineer to join our Talent Team on a hybrid schedule. You will design and implement data pipelines, ensure data quality, and work with modern data architectures to enable analytics and decision making.

You'll develop data solutions using Python, Apache Spark, Airflow, and dbt, collaborate with business users, and contribute to data governance and cataloguing while embracing a dynamic, growth-oriented environment.