29 days ago
Brussels, BelgiumMid Level
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
- Collect, transform, and integrate structured and unstructured data from multiple sources.
- Build data models and architectures supporting analytics and AI use cases.
- Develop batch and real-time data processing solutions and optimize pipeline workloads.
- Ensure data quality, reliability, performance, and traceability.
- Contribute to data platform architecture and technical design.
- Prepare datasets and contribute to the development, deployment, and industrialization of machine learning and AI solutions.
- Develop APIs or services exposing AI capabilities to applications.
- Contribute to generative AI use cases including LLM applications, RAG architectures, embeddings, and vector databases.
- Implement monitoring and continuous improvement mechanisms for AI solutions.
- Collaborate with technical teams and business stakeholders to translate business challenges into Data and AI solutions.
Requirements
- At least 3 years of experience in Data Engineering, AI/ML Engineering, or a related role.
- Strong proficiency in Python and SQL.
- Experience building production-grade data pipelines and working with cloud-based data platforms.
- Understanding of software engineering best practices, data engineering fundamentals, and machine learning concepts.
- Professional proficiency in English and either French or Dutch.
- Experience with one or more data platforms or tools such as Databricks, Apache Spark, PySpark, Microsoft Fabric, Snowflake, Apache Kafka, Airflow, or dbt is highly valued.
- Experience with at least one major cloud ecosystem is required.
- Experience with ML model deployment, APIs, and MLOps principles.
- Generative AI, LLM-based applications, data governance, data quality, real-time or event-driven architectures, and production Data/AI delivery experience are advantageous.
- Cloud or data certifications from providers or platforms such as Microsoft Azure, Databricks, AWS, Snowflake, or Google Cloud are advantageous.
- Ability to communicate with technical and non-technical stakeholders and work autonomously across different client environments.
Benefits
- Full-time employment based in Brussels, Belgium.
- Hybrid work arrangement with flexibility to work onsite according to client requirements.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaApache SparkAWSAzureDatabricksdbtDockerGitGoogle BigQueryGoogle Cloud PlatformKubernetesMLflowNumPyPandasPythonscikit-learnSnowflakeSQLTerraform
Categories
Data EngineeringML Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.