Data Engineer Senior- Microsoft Fabric

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Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

Co-develops batch and streaming pipelines, semantic models, and transformationson Databricks (Python/Spark).
Defines and maintains data contracts, quality rules, and data SLOs for each dataproduct.
Guides domain teams on data modeling and data product boundaries (whatbelongs to which product/domain).
Trains, mentors and pairs with domain engineers/analysts on data productownership and good engineering practices.
Captures feedback and best practices from domains and feeds improvements backinto platform templates, tooling, and patterns.

Experience in Data Engineering, including building and optimizing data pipelines.
Experience working with Databricks, Python, and Spark, building batch and streaming solutions.
Experience with Microsoft Fabric, including data integration, analytics, or lakehouse solutions.
English Advanced Level.
Familiarity with BI visualization tools such as Looker, Tableau, or Power BI.