Data & AI Engineer - Cloud, Pipelines & Gen AI

Accenture PLC; Brussel Hoofdstad; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

AFD.Tech, part of Accenture, seeks a versatile Data Engineer / AI Engineer to design, build and maintain modern data platforms while advancing AI/ML solutions in cloud environments. You will collaborate with Data Scientists, Data Analysts and software engineers across client environments.

The role requires strong data engineering fundamentals and practical exposure to AI, ML and Generative AI, with comfort in modern cloud-based data ecosystems and API/service development for AI capabilities.

Qualifications

• 3+ years in Data Engineering, AI/ML Engineering or related role.
• Strong Python and SQL proficiency.
• Experience building production-grade data pipelines.
• Experience with cloud-based data platforms.
• Good understanding of software engineering best practices.

Responsibilities

• Design, develop and maintain scalable data pipelines and ETL/ELT processes.
• Collect, transform and integrate data from multiple sources.
• Build data models and architectures for analytics and AI use cases.
• Ensure data quality, reliability, performance and traceability.
• Develop batch and real-time data processing solutions.
• Optimize data pipelines and processing workloads.
• Contribute to data platform architecture and technical design.
• Collaborate with Data Scientists and Data Analysts to provide datasets.

Skills

Python

SQL

ETL/ELT

Data modeling

Data Warehousing

Data Lakes

REST APIs

Data integration

Education

Data/CS degree or related

Tools

Databricks

Apache Spark/PySpark

Microsoft Fabric

Snowflake

Apache Kafka

Airflow

dbt

Job description

AFD.Tech, part of Accenture, seeks a versatile Data Engineer / AI Engineer to design, build and maintain modern data platforms while advancing AI/ML solutions in cloud environments. You will collaborate with Data Scientists, Data Analysts and software engineers across client environments.

The role requires strong data engineering fundamentals and practical exposure to AI, ML and Generative AI, with comfort in modern cloud-based data ecosystems and API/service development for AI capabilities.