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Senior Data Engineer designs automated compliance pipelines, refactors data flows, and scales Snowflake/DBT/Airflow systems to support regulatory automation and due diligence.
Designs and builds Snowflake-based data pipelines and ELT workflows for a Swiss mobility client, using SQL, dbt, Python, and CI/CD.
Leads the design and scaling of Tesco Poland’s data platform, building pipelines that ingest, transform, and deliver data for analytics and business use.
Design and build scalable data platforms on Azure, integrating enterprise sources with Microsoft Fabric, Databricks, and ETL/ELT pipelines to enable analytics and reporting.
Designs and builds cloud-native data pipelines and analytics solutions on AWS, using Python/Scala/Java and DevOps practices to process large datasets.
Builds and optimizes ETL pipelines for a lakehouse architecture using Python/Spark, SQL, and cloud tools to support enterprise-scale data workloads in Commercial Risk Solutions.
Lead the design of enterprise-scale data platforms using Snowflake, DBT, and Data Vault 2.0, while establishing governance and enabling analytics and AI across EU markets.
Designs and maintains scalable data pipelines using Databricks, Spark, and Azure to deliver business insights.
Designs and builds scalable data pipelines and lakehouse architecture for enterprise analytics, while mentoring engineers and enforcing data governance and security.
Senior AI & Data Engineer builds AI-powered solutions using Python, LLMs, and RAG pipelines, integrating them into production systems with Azure services.
Builds and optimizes cloud-based data pipelines using Microsoft Fabric, Azure Synapse, PySpark, and SQL to process diverse datasets for analytics and reporting.
Build and maintain real-time and batch data pipelines for a global video streaming platform using Java, Flink, and Spark to analyze and improve streaming quality.
Builds and optimizes Java-based financial applications and data pipelines for capital markets, using Oracle and graph databases.
Build and refine data models using SQL, Python, Spark, and Azure while learning cloud technologies and predictive modeling in a hands-on internship.
Architect and implement ETL pipelines and backend infrastructure for a fintech company, integrating AI tools to optimize data workflows.
Lead a team building and maintaining data pipelines and AI models on GCP to turn raw data into business insights for clients.
Lead data pipeline design and maintenance for clients, using Python, SQL, and GCP to deliver analytics and AI solutions in a collaborative agency setting.
Builds and maintains scalable big-data pipelines on Azure Databricks and Apache Spark using Scala/Java, deploys them via CI/CD and Kubernetes, and ensures platform reliability.
Senior Robotics Data Engineer builds and maintains high-quality data pipelines for AI-powered robotics vision systems using Python and camera fundamentals.
Build and optimize large-scale data pipelines using Spark for AI and big-data platforms in automotive and aerospace sectors.
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