Senior AI Data Engineer
Há 12 horas
About Us
Komodo Consulting is a technology and strategy firm specializing in Digital Transformation. Operating in Portugal and Poland, we provide IT Consulting & Nearshore services. We support both public and private sector organizations through two main areas:
- Consulting with a focus on strategy, investment analysis, and digital process improvement;
- IT Team Augmentation helping clients scale and strengthen their tech teams.
*The project
We are seeking a
Senior AI Data Engineer (Microsoft Fabric & Azure)*
to work on a project for a Software House.
*You will have the following responsibilities:*
- Design, build, and maintain scalable data pipelines on Microsoft Fabric (Data Factory, Dataflows, Lakehouse, Warehouse, OneLake);
- Develop and optimize data ingestion, transformation, and orchestration processes using Azure Data Factory, Azure Databricks, Azure Synapse, and Azure Functions;
- Implement Delta Lake and lakehouse architectures and build reusable data products to support AI, machine learning, and analytics workloads;
- Partner with Data Scientists and ML Engineers to prepare feature-rich datasets, operationalize models, and automate MLOps workflows using Azure Machine Learning, Fabric Data Science experiences, or Databricks;
- Implement data quality, observability, monitoring, lineage, and governance frameworks using Fabric and Azure Purview, ensuring compliance with data privacy and security standards;
- Manage CI/CD pipelines for data code using Azure DevOps or GitHub;
- Collaborate with business stakeholders to understand requirements, deliver high-value data solutions, maintain documentation, and mentor junior developers.
*You need to have the following skills/experience:*
- 10+ years of experience as a Data Engineer, AI Engineer, or in a similar data-focused role;
- Strong hands-on experience with Microsoft Fabric, including Lakehouse, Data Engineering, Data Factory, and Data Pipelines;
- Expert knowledge of Azure data services such as Azure Data Factory, Azure Databricks/Spark, Azure Synapse/SQL Pools, Azure Storage (ADLS Gen2), Azure Functions, and Azure Machine Learning;
- Solid proficiency in Python and SQL for data processing and transformation;
- Proven experience designing and implementing data lakehouse architectures and Delta Lake pipelines;
- Good understanding of modern DevOps/MLOps practices, including version control, testing, and automated deployments;
- Familiarity with data governance and cataloging frameworks using Azure Purview or Fabric governance.
- English level: C1 or higher.
*Location*
Full Remote - Portugal
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