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AI & Data Engineer

Accenture · Brussels

New
Hybrid Mid 🇬🇧 English
Python SQL Pandas NumPy Scikit-learn Databricks Apache Spark PySpark Microsoft Fabric Snowflake Apache Kafka Airflow dbt Azure Data Factory Azure Data Lake Storage Synapse Analytics Azure Databricks Machine Learning MLOps Azure Machine Learning MLflow Git CI/CD Docker Kubernetes Terraform

Job description

About the role

Accenture is looking for a versatile AI & Data Engineer to design, build and maintain modern data platforms while contributing to AI and Machine Learning solutions across multiple client environments.

Key responsibilities

  • Design, develop and maintain scalable ETL/ELT pipelines and data models for analytics and AI use cases.
  • Collect, transform and integrate structured and unstructured data from diverse sources.
  • Develop batch and real‑time processing solutions using Spark, Kafka, Airflow and related tools.
  • Support the deployment, monitoring and industrialisation of ML models and Generative AI applications.
  • Collaborate with Data Scientists, analysts and business stakeholders to deliver reliable datasets and AI services.

Required profile

  • 3+ years of experience in Data Engineering or AI/ML engineering.
  • Strong proficiency in Python and SQL.
  • Experience building production‑grade data pipelines on cloud platforms.
  • Ability to work autonomously in client‑facing, hybrid environments.

Required skills

  • Python, SQL, Pandas, NumPy, Scikit‑learn
  • Databricks, Apache Spark / PySpark, Microsoft Fabric, Snowflake, Apache Kafka, Airflow, dbt
  • Azure (Data Factory, Data Lake, Synapse, Databricks), AWS (S3, Glue, Lambda, Redshift, SageMaker), GCP (BigQuery, Dataflow, Vertex AI)
  • Machine Learning concepts, MLOps, Azure Machine Learning, MLflow
  • Git, CI/CD, Docker, Kubernetes, Terraform

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Published 3 uur geleden

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Accenture

Brussels

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Emplois à Brussels Métier : Informatique / IT