Senior Data Engineer

HN Services Portugal; Portugal; Presencial; EUR 65 000 - 90 000; Tempo integral

Resumo da oferta

HN Services Portugal is seeking a Senior Data Engineer to shape and evolve secure, scalable Cloud Data platforms in an international environment. You will design modern data architectures in Azure, build scalable pipelines with Azure Data Factory, Databricks and Snowflake, and ensure data quality, traceability and governance.

The role requires 5+ years in Data Engineering, strong SQL, Python and Spark, plus CI/CD, DevOps and Agile/Scrum, along with excellent communication and leadership to

Qualificações

• 5+ years of experience in Data Engineering.
• Strong knowledge of SQL, Python and Spark.
• Experience with CI/CD, DevOps and Agile/Scrum.
• Excellent analytical and leadership abilities.
• Strong communication skills for stakeholder engagement.

Responsabilidades

• Design and implement modern data architectures in Azure.
• Build scalable data pipelines with Azure Data Factory, Fabric and Databricks.
• Develop robust ETL/ELT solutions for large data volumes.
• Ensure data quality, traceability and consistency.
• Collaborate with technical and business stakeholders to shape roadmaps.
• Establish technical standards and best practices.
• Contribute to data strategy decisions.

Conhecimentos

Data engineering

SQL

Python

Spark

CI/CD

DevOps

Agile/Scrum

Stakeholder communication

Technical leadership

Ferramentas

Azure Data Factory

Microsoft Fabric

Databricks

Snowflake

Fivetran

dbt

Airflow

AWS or GCP

Descrição da oferta de emprego

Ready to take ownership of modern data architectures and turn complex data challenges into scalable, high-impact solutions?

We’re looking for a Senior Data Engineer to join an international environment where you’ll play a key role in the design and evolution of secure, efficient and scalable Cloud Data platforms.

What you’ll do

• Design and implement modern Data architectures in Azure
• Build and optimise scalable Data pipelines with Azure Data Factory, Microsoft Fabric and Databricks
• Develop robust ETL/ELT solutions for large data volumes
• Ensure Data quality, traceability and consistency
• Work closely with technical and business stakeholders to define solutions and roadmaps
• Establish technical standards, best practices and guidelines
• Contribute to technical decisions with real impact on Data strategy

What we’re looking for

• 5+ years of experience in Data Engineering
• Solid knowledge of SQL, Python and Spark
• Experience with CI/CD, DevOps and Agile/Scrum
• Strong analytical mindset and technical leadership skills
• Excellent communication skills and confidence in stakeholder-facing environments
• AWS or GCP
• Snowflake
• Fivetran
• dbt
• Airflow

If you’re looking for a role where you can combine hands-on Data Engineering, architecture and technical leadership, we’d love to hear from you.