Senior AI Engineer - Data Pipelines & Azure ML

Accenture Portugal; Lisboa; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Life Insurance and Pension Plan

Hybrid working model

Job summary

Accenture Digital Core in Portugal seeks a senior Data Engineer to design, build and operate end-to-end data and ML pipelines in production environments. You will implement and debug pipelines on Azure (DataLake, Databricks) and contribute to CI/CD practices across distributed teams.

You'll work with Python, SQL and Spark, ensuring data quality, observability and scalable solutions while collaborating with business and technical stakeholders to drive transformational outcomes.

Qualifications

• 7–10 years of relevant work experience.
• Experience in data/AI production environments.
• Experience with Python in production.
• Knowledge of PySpark/Spark and Azure Synapse/Data Lake/Databricks.
• CI/CD and DevOps tooling experience.

Responsibilities

• Design, operate and troubleshoot end‑to‑end data and ML pipelines in production environments.
• Integrate and run ML/AI models with correct inputs/outputs and data changes.
• Build and maintain batch and streaming pipelines using Spark/PySpark.
• Monitor systems with logs, metrics and alerts for operational stability.
• Contribute to CI/CD pipelines and DevOps practices for data workloads on Azure.
• Collaborate with backend, platform and business teams in distributed environments.
• Develop production‑grade solutions using Python, SQL, JSON/YAML, Git.
• Implement and debug pipelines on Azure (DataLake, Databricks).
• Ensure observability through log and metric interpretation.

Skills

Python production usage

SQL and SQL-based databases

PySpark / Spark

Azure data services (Synapse, DataLake

CI/CD & DevOps

Monitoring tools

Collaboration in distributed teams

Education

University degree in CS / IT / Eng

Tools

Azure DevOps

Databricks

MLflow

Weights & Biases

Job description

Accenture Digital Core in Portugal seeks a senior Data Engineer to design, build and operate end-to-end data and ML pipelines in production environments. You will implement and debug pipelines on Azure (DataLake, Databricks) and contribute to CI/CD practices across distributed teams.

You'll work with Python, SQL and Spark, ensuring data quality, observability and scalable solutions while collaborating with business and technical stakeholders to drive transformational outcomes.