Data Engineer (Cascais - Hybrid)

Claranet limited; Cascais; Hybrid; EUR 42,000 - 64,000; Full time

Benefits offered by this job

Hybrid – Cascais (4 days per week at 4

Salary package aligned with the role

Professional development

Job summary

Claranet limited in Cascais is seeking a Data Engineer to design and implement data pipelines, applying Medallion Architecture and modern tooling to enable analytics and reporting.

You will work with Python, Spark, Airflow and dbt to ensure data quality, lineage and governance, with a hybrid office schedule in Cascais.

Qualifications

• 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, ensuring data quality, consistency, and reliability to support analytics and reporting.
• Build and maintain end-to-end data pipelines for data ingestion, transformation, and delivery to analytical consumers.
• Work with modern data architectures, particularly the Medallion Architecture (Bronze, Silver, and Gold layers).
• Develop data solutions using Python, Apache Spark, Apache Airflow, and dbt.
• Implement and monitor data integration, processing, and delivery processes across cloud and/or on-premises environments.
• Contribute to Data Governance initiatives, data cataloguing, and metadata management.
• Ensure data traceability through Data Lineage and Metadata Management tools, such as OpenMetadata.
• Collaborate with business and analytics teams to ensure that datasets meet functional requirements and reporting needs.

Skills

Python

Apache Spark

Apache Airflow

dbt

Data modelling

Data Warehousing

Data governance

Tools

dbt

OpenMetadata

Job description

Cascais, Portugal | Posted on 10/23/2026

We're fast learners, hard workers, natural collaborators... and we Make Modern Happen!

Our ambition is to unlock the potential of our digital world so that organisations everywhere can innovate and thrive securely. We aim to achieve this goal by bringing together the world’s most talented people and the most powerful technologies, combining them to address our customers' challenges and build something stronger together.

Right now, we are looking for a Data Engineer for a client on our Talent Team.

Your responsibilities include:

• Develop and implement data transformation rules, ensuring data quality, consistency, and reliability to support analytics and reporting.
• Build and maintain end-to-end data pipelines for data ingestion, transformation, and delivery to analytical consumers.
• Work with modern data architectures, particularly the Medallion Architecture (Bronze, Silver, and Gold layers).
• Develop data solutions using Python, Apache Spark, Apache Airflow, and dbt.
• Implement and monitor data integration, processing, and delivery processes across cloud and/or on-premises environments.
• Contribute to Data Governance initiatives, data cataloguing, and metadata management.
• Ensure data traceability through Data Lineage and Metadata Management tools, such as OpenMetadata.
• Collaborate with business and analytics teams to ensure that datasets meet functional requirements and reporting needs.

You 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.

We offer:

• Integration into a dynamic and motivated team.
• Additional training and opportunities to develop your technical skills.
• A salary package aligned with the role.
• Professional development and career growth opportunities.

Workplace: Hybrid – Cascais (4 days per week at the office).