Junior AI Engineer - Azure Data & ML Pipelines (Hybrid)

Accenture Portugal; Lisboa; Hybrid; EUR 28,000 - 42,000; Full time

Benefits offered by this job

Health insurance

Life insurance and pension plan

Hybrid working model

Wellness programs

Training paths with Udemy/Pluralsight

Job summary

Accenture Digital Core in Portugal is seeking a Junior Data & AI Operations Engineer to support data and ML pipelines in production. You will validate data, monitor systems, and collaborate with cross-functional teams to implement robust streaming and batch processes on Azure.

Required are a university degree in a technical field, 1-3 years of experience, and hands-on skills in Git, SQL, Python and notebooks. A hybrid work model is offered along with comprehensive benefits.

Qualifications

• University degree in Computer Science, Software Engineering, Information Technology, Engineering, or a comparable technical field.
• 1-3 years of relevant work experience.
• Experience with Git, notebooks, data validation and SQL is required.

Responsibilities

• Support operation and troubleshooting of data and ML pipelines in production.
• Perform data validation and sanity checks to ensure data quality.
• Assist in monitoring systems using logs and alerts.
• Collaborate with backend, platform and AI engineers in cross-functional teams.
• Contribute to data and AI solutions using Python, SQL, JSON/YAML and Git.
• Support CI/CD and DevOps practices for data workloads on Azure.

Skills

Git version control

Notebooks (Synapse)

Data validation

SQL

Python

CI/CD

Education

University degree in Computer Science / Software Engineering / IT

Tools

Azure Synapse

Azure Data Lake

Databricks

Job description

Accenture Digital Core in Portugal is seeking a Junior Data & AI Operations Engineer to support data and ML pipelines in production. You will validate data, monitor systems, and collaborate with cross-functional teams to implement robust streaming and batch processes on Azure.

Required are a university degree in a technical field, 1-3 years of experience, and hands-on skills in Git, SQL, Python and notebooks. A hybrid work model is offered along with comprehensive benefits.