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Lead Satori's geographic expansion and partner ecosystem across Europe and the Middle East: open markets, build cloud and channel partnerships, engage C-level stakeholders, source and qualify enterprise opportunities, and coordinate with delivery, engineering, and product teams to convert pipeline into repeatable commercial growth.

Design, build, and maintain scalable ETL pipelines and data models using SQL, Python/PySpark and modern cloud data platforms (Databricks, Snowflake, MS Fabric). Ensure data quality, governance, monitoring and collaborate with cross-functional teams to deliver analytics- and AI-ready data.

Design, build, and operate production data pipelines and dbt models to serve ML and analytics workflows. Work with relational, vector, and graph stores, large-scale Spark/PySpark processing, SQL transformations, Python ETL, and ensure data quality via tests, monitoring, logging, and CI/CD. Collaborate with data scientists and maintain infrastructure-as-code for reliable, production-grade data platforms.

Design, build, and operate production-scale data pipelines and multi-model data platforms (relational, vector, graph) to serve AI/BI systems. Own architecture, reliability, observability, and mentoring; implement ETL/ELT with Spark, dbt, cloud infrastructure, CI/CD, and IaC.

Support design and development of ETL pipelines, assist with data migrations and cloud transitions, troubleshoot data processes, and collaborate with architects, developers, and analysts while learning cloud and data engineering tools.

As a Senior MLOps Engineer, you will build and maintain infrastructure for deploying ML models, create automated ML pipelines, ensure system reliability, and enhance collaboration across AI teams.