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Builds and optimizes SQL-based data pipelines on Google Cloud Platform, focusing on BigQuery transformations and cost-efficient data processing for analytics.
Build and maintain Arla’s enterprise-grade data platform using Azure Databricks, PySpark, and IaC; design pipelines, automate CI/CD, and ensure observability and security across the stack.
Build and maintain the data infrastructure (Data Lakehouse) that powers AI-driven dental products, collaborating with ML researchers and MLOps engineers.
Build and scale data infrastructure for AI/ML pipelines in dentistry, including ingestion, annotation, dataset versioning, and training workflows on AWS.
Builds and deploys industrial data pipelines and MLOps workflows to run AI models in cloud and edge environments for metals, energy and infrastructure clients.
Designs and optimizes data validation pipelines for high-volume clickstream data to ensure quality before it feeds core AI systems.
Senior Data Engineer builds and optimizes SQL Server BI pipelines (T-SQL, SSIS) to move automotive data into analytics-ready structures and cloud services.
Senior engineer designs and implements GCP-based data governance, metadata catalogs, and data quality processes for a Telco client migrating analytics to the cloud.
Build and maintain cloud-based data pipelines in Azure using Databricks, PySpark, and Python, collaborating on end-to-end data solutions for enterprise clients.
Builds and maintains scalable data pipelines and ETL processes for IT Service Management using Python, Apache Airflow, T-SQL, and Snowflake to replicate BMC Helix data.
Builds and maintains scalable data pipelines and ETL processes for IT Service Management, using Python, Apache Airflow, T-SQL, and Snowflake to replicate and integrate BMC Helix data.
LyondellBasell Industries is looking for a Data Integration Engineer in Poznań, Poland. This role involves the development and deployment of data ingestion solutions, collaboration with software engineers, and…
Senior Data Platform Engineer builds and maintains a unified data platform, integrating pipelines and governance for a fintech company.
Builds and maintains AI-driven data pipelines and LLM-assisted workflows to automate engineering processes, schema governance, and test automation using Kafka, SQL, and distributed frameworks.
Designs and builds LLM-powered automation for data pipelines, CI/CD, and developer tooling using Kafka, SQL, and distributed processing frameworks.
Build and maintain scalable data pipelines and transformations using Snowflake, AWS, dbt, and Airflow to power analytics and AI initiatives.
Build and own a scalable, AI-augmented data platform that processes real-time IoT telemetry into location intelligence for hospitals, using Kafka, Kubernetes, and AWS.
Build and maintain scalable data pipelines and ETL processes using Databricks and Snowflake to support analytics and AI/ML initiatives.
Build and maintain Python-based data and AI platforms on Kubernetes, using tools like Kubeflow and Docker to enable scalable analytics and ML workflows.
Designs and implements pricing optimization logic using Python and mathematical models to automate business decisions for a fintech product.
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