ML Pipeline Engineer – Hybrid & Azure Data Ops

Accenture Portugal; Lisboa; Hybrid; EUR 27,000 - 48,000; Full time

Benefits offered by this job

Health insurance

Life insurance and pension plan

Office medical services

Wellness programs

Flexben program

Employee stock purchase plan

Training paths and Udemy access

Flex-ability program

Special banking conditions

Hybrid working model

Job summary

Accenture Portugal is seeking a data-centric professional to support operation and troubleshooting of data and ML pipelines in production. You will validate data, collaborate via Git and notebooks, and help monitor and improve batch and streaming pipelines on Azure with PySpark and Spark.

The role requires 1-3 years of experience, strong English, and the ability to work across distributed teams in an Agile environment.

Qualifications

• Bachelor's or master's degree in Computer Science, Engineering, or a related field.
• 1-3 years of relevant work experience.
• Experience with Git, notebooks, data validation, and SQL is a must.
• Basic experience with Python and ML/AI concepts; exposure to data or AI environments.
• Familiarity with Azure services (Synapse, Data Lake, Databricks).
• Awareness of monitoring concepts (logs, alerts).
• Interest in CI/CD and DevOps practices.
• Professional English (C1 level).
• Strong communication and collaboration in distributed teams.
• Must own valid work permit or EU/Schengen nationality.
• French or Dutch is a plus.

Responsibilities

• Support operation and troubleshooting of data and ML pipelines in production.
• Perform data validation and sanity checks to ensure data quality.
• Use Git to collaborate on code changes and follow version control best practices.
• Assist in monitoring systems using logs and basic alerts.
• Assist in building and maintaining batch and streaming pipelines using Spark / PySpark.
• Support CI/CD pipelines and DevOps practices for data and ML workloads on Azure.
• Collaborate with backend, platform and AI engineers in distributed teams.
• Contribute to data and AI solutions using Python, SQL, JSON/YAML and Git.
• Implement and inspect pipelines on Azure and use notebooks to test logic.
• Use ML experimentation tools (MLflow, Weights & Biases, Databricks ML) to support model validation.
• Apply data validation and anomaly detection.
• Support pipeline execution, troubleshooting and safe rerun practices.
• Ensure observability through logs and alerts.
• Follow Agile delivery and documentation practices.
• Maintain awareness of model lifecycle concepts.

Skills

Git

Python

SQL

Spark / PySpark

Azure

Data validation

Notebooks

Education

University degree in Computer Science or related field

Tools

Azure Synapse

Azure Data Lake

Databricks

MLflow

Weights & Biases

Job description

Accenture Portugal is seeking a data-centric professional to support operation and troubleshooting of data and ML pipelines in production. You will validate data, collaborate via Git and notebooks, and help monitor and improve batch and streaming pipelines on Azure with PySpark and Spark.

The role requires 1-3 years of experience, strong English, and the ability to work across distributed teams in an Agile environment.