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Bruxelles Engineering – Data CDI Hybrid SFEIR BELGIUM - Data Engineer - Become an Augmented Expert Brussels | Startup Spirit | AI-Native Group Sharp Tech. Real Impact. Who are we? SFEIR is a technology innovation…
Bruxelles Engineering – Cloud CDI Hybrid SFEIR BELGIUM - Cloud/DevOps Engineer - Become an Augmented Expert Brussels | Startup Spirit | AI-Native Group Sharp Tech. Real Impact. Who are we? SFEIR is a technology…
SFEIR Belgium is seeking a Cloud & DevOps Engineer to join our Brussels team, delivering robust CI/CD pipelines, cloud-native architectures, and IaC automation. You will collaborate across multi-cloud environments…
Design and build AI-ready data pipelines and cloud architectures using Spark, Kafka, and Python/Scala for a tech consultancy driving GenAI innovation.
Designs and maintains cloud-native data and AI pipelines, implements MLOps/LLMOps, and ensures observability and cost optimization for robust data platforms.
Build and maintain a scalable data platform using BigQuery, Cloud Composer, Python, and DBT to turn raw data into business insights.
Designs and builds scalable ETL/ELT pipelines and cloud data architectures to transform client data into actionable insights, ensuring quality and security from ingestion to warehouse/lake.
Build and maintain robust data pipelines on Google Cloud Platform using BigQuery, Dataflow, and DBT, orchestrated via Cloud Composer.
Design and build end-to-end data architectures on Google Cloud, using DBT and BigQuery, while mentoring junior teammates in a fast-growing team.
Build robust data pipelines and cloud-native platforms using Python, SQL, dbt, Airflow, BigQuery, Snowflake, and Databricks, while integrating AI/ML workflows and RAG systems.
Designs and builds cloud-native data pipelines and platforms using Python, SQL, dbt, Airflow, and GCP, integrating AI/ML workflows and real-time analytics.
Designs and maintains scalable data pipelines in Python, SQL, dbt, and Airflow, ensuring data quality and governance across BigQuery, Snowflake, and Databricks to support AI-driven workflows.
Senior Data Engineer builds robust data pipelines and cloud infrastructure using Python, SQL, and Airflow to support AI and analytics workloads.
Lead a team to design and build end-to-end data architectures on Google Cloud, using BigQuery, Dataflow, and DBT to create scalable ETL/ELT pipelines and integrate GenAI services.
Build and optimize data pipelines using Python, SQL, FastAPI, and Google Cloud tools, while experimenting with AI to enhance workflows and drive business impact.
Designs and builds scalable data pipelines in Python, SQL, dbt and Airflow, manages cloud data warehouses (BigQuery, Snowflake, Databricks), and explores generative AI to automate workflows for enterprise clients.
Designs and maintains scalable data pipelines using Spark, Kafka, and Flink, deploys AI-ready cloud architectures on AWS/GCP, and enables GenAI model integration.
Designs scalable data pipelines and cloud infrastructure (AWS/GCP) to feed GenAI models, using Python/Scala and ensuring data quality for digital transformation projects.
Build and maintain scalable data platforms using Python, SQL, DBT, BigQuery, and Cloud Composer to help clients operationalize and analyze their data.
Build and maintain scalable data pipelines on GCP using BigQuery, Dataflow, and Cloud Composer, and implement ETL/ELT with DBT and Python.
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