Hybrid Data Engineer - Cloud Pipelines & Data Products

Capgemini; Vila Nova de Gaia; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Referral program with bonuses

Hybrid work policy

Career development programs

Job summary

Capgemini is launching a new Tech Hub in Porto and seeks a Data Engineer to help build scalable data platforms. You will implement lakehouse architectures, craft production data pipelines in Azure, and enable BI consumption with Power BI.

We value 4+ years in data engineering, strong SQL/Python, and hands-on cloud experience with Data Factory, Databricks and Fabric, plus CI/CD tooling like Airflow and GitHub Actions. Hybrid work and growth programs are offered.

Qualifications

• 4+ years of experience in data engineering, building and running production data pipelines.
• Cloud data pipelines in Azure (Data Factory, Databricks, Fabric) and SQL/Python expertise.
• Hands-on with pipeline orchestration and CI/CD tools (Airflow, Azure DevOps, GitHub Actions).
• Infrastructure as code for cloud data infra (Terraform, Bicep).
• dbt experience is a strong plus; AI-assisted development tools a plus.

Responsibilities

• Implement data models and layered lakehouse structures for BI tools like Power BI.
• Establish data processes and infrastructure from scratch where needed.
• Build, run and improve production-grade cloud data pipelines.
• Design scalable cloud data infrastructure and reliable data products with quality checks and monitoring.

Skills

SQL

Python

Azure

Azure Data Factory

Azure Databricks

Microsoft Fabric

Airflow

CI/CD

Terraform

dbt

GitHub Actions

Bicep

Tools

Terraform

Bicep

GitHub Actions

Airflow

Job description

Capgemini is launching a new Tech Hub in Porto and seeks a Data Engineer to help build scalable data platforms. You will implement lakehouse architectures, craft production data pipelines in Azure, and enable BI consumption with Power BI.

We value 4+ years in data engineering, strong SQL/Python, and hands-on cloud experience with Data Factory, Databricks and Fabric, plus CI/CD tooling like Airflow and GitHub Actions. Hybrid work and growth programs are offered.