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Senior data engineer building and maintaining scalable data pipelines, storage, and architectures using modern tools like data mesh, while collaborating with scientists and stakeholders.
Build and maintain automated data pipelines, Data Lakes, and cloud-based ETL processes using Python, PySpark, and AWS services to process large datasets efficiently.
Build and maintain Azure-based data pipelines and analytics solutions for a global inspection and certification company’s cloud migration project.
Builds and maintains data pipelines on Azure Databricks and Azure Data Factory, working with Azure SQL and Data Lake Storage Gen2 to support analytics and digital transformation.
Design, deploy, and operate GitOps and IaC pipelines for a large distributed data platform, maintaining Linux environments, security, and observability for ML/DL, Data Lake, ClickHouse, and Kafka.
Senior Data Engineering Consultant designs, builds, and operationalizes scalable data pipelines, ML/LLM integrations, and DataOps/MLOps platforms to move clients' AI projects from prototype to production.
Design and build scalable data pipelines and architectures to support scientific research in food science, clinical studies, and pet health, using Python, SQL, cloud platforms, and orchestration tools.
Build and maintain a new Azure-based data platform for logistics, modeling data for analytics and science, and integrating sources with Python, Spark, and SQL.
Build robust data pipelines and ML/GenAI solutions for Swiss clients, from ETL to dashboards and predictive models, using Python, SQL, Azure, and Power BI.
Designs and builds the company’s enterprise data platform using Azure Databricks, Spark, and Python to integrate and model medical/pharma data for analytics and future AI projects.
Design and build scalable data pipelines and platforms (Lakehouse, Data Warehouse) to feed ML models and generative-AI applications, using Python, Spark, Snowflake/Databricks, and cloud stacks (AWS/GCP/Azure).
Build and maintain automated data pipelines that integrate industrial systems (MES, PI Historian, ELN) into a reliable operational data foundation for biopharma manufacturing.
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Build and maintain cloud-based ELT pipelines in DBT Cloud and Snowflake, ensuring data quality and governance while migrating legacy systems to a unified CDP instance.
Senior AI Engineer builds GenAI and data-lake solutions for a bank using Java/Python and Google BigQuery.
Build and lead a multitenant data platform in AWS and Databricks, owning ingestion, storage, and access layers for internal and external data sources using Python, PySpark, and modern data tools.
Build and scale cloud-based data infrastructure at Asana, owning AWS/Databricks environments, ingestion pipelines, and internal tools to ensure reliable, timely data flow for analytics and reporting.
Build and maintain cloud-based data pipelines in Azure using Databricks, PySpark, and Python, collaborating on end-to-end data solutions for enterprise clients.
Data Integration Engineer Location: Poznań, PL, 61-569 Facility: POZNAN-6731 LyondellBasell a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy that…
Build and maintain cloud-based data pipelines and AI/ML infrastructure in Microsoft Azure to enable advanced analytics and data-driven decision-making across Arla Foods Ingredients Analytics.
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