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Degree holders for the visa application process.At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond…
Lead a data-engineering team to design and build scalable GCP-based pipelines, ETL workflows, and event-driven integrations using Kafka, Spring Batch, and Python.
ElBits is an ambitious collaboration among Norway’s grid companies aimed at driving change in the power grid industry. We achieve this by integrating and standardizing data and developing digital products. Our goal is…
The BI Analyst will develop management reporting for risk metrics, build data marts, and create dashboards using internal BI tools. The role involves working with SQL, Python, and PySpark to analyze credit portfolios and contribute to the development of internal AI-driven analytical agents.
Build and maintain scalable data ingestion, transformation, and analytics pipelines using Databricks, Spark, and PySpark with Delta Lake/Parquet for data quality.
Lead the architecture and implementation of a knowledge-graph-centered data platform that unifies AI/ML workflows, storage, and compute for autonomy systems in defense and robotics.
The UX Software Engineer will develop and enhance a UI prototype, transitioning it from a Streamlit-based tool into a robust interface. The role requires proficiency in Python, Java, and various front-end technologies, alongside experience with big data processing and workflow orchestration.
Design and implement hybrid cloud solutions for a plywood manufacturer transitioning into an independent company, focusing on Azure, automation, and secure scalable infrastructure.
Designs and governs a secure AWS data lake and integration architecture for a UK defence programme, ensuring compliance across multiple security classifications.
Expert Data Engineer designing Power BI dashboards, data models, and ETL pipelines on Azure (Synapse, ADLS, Data Factory) for a cross-functional team at an outsourcing company.
Data Engineer at Raiffeisen Bank Ukraine owning the Data Lake platform — designing and operating end-to-end data pipelines (ingestion, transformation, publication) using Python, Spark, AWS, Airflow, Kafka, and Terraform, with mandatory hands-on use of AI coding agents.
Senior Data Engineer designs and maintains data pipelines using Microsoft Fabric and Azure, focusing on PySpark, SQL, and data-source integrations with high security and auditability standards.
Senior/Lead Data Engineer at Exadel building and optimizing Spark/PySpark applications on Databricks for a Big Four accounting firm client, with a focus on data processing, performance tuning, and best practices.
Data Engineer building and maintaining data pipelines, PySpark notebooks, and CI/CD automation in Microsoft Fabric and Azure on a hybrid B2B contract in Warsaw.
Overview Help build the world’s most advanced multimodal dataset at Microsoft AI We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from…
Stacklet helps organizations with large cloud estates optimize cost, improve security, and ensure compliance by simplifying and automating all aspects of governance via code. Our company was founded by the creators and…
This Data Engineer role involves designing and implementing data pipelines and PySpark notebooks within the Microsoft Fabric environment for an insurance client. The position focuses on data integration, quality validation, and performance optimization while adhering to strict security and privacy standards.
Builds and optimizes ML infrastructure for training and inference of warehouse robots, focusing on GPU clusters, distributed systems, and low-latency pipelines.
This role is for a Senior Python Developer to build and maintain REST APIs, scalable applications, and data pipelines in a fully onsite environment in Amsterdam. The position requires expertise in Python, Django/FastAPI, cloud platforms like Azure or AWS, and CI/CD practices.
Build and maintain high-throughput log pipelines, normalize raw logs into standard schemas, and optimize data routing for security analytics and AI/ML detection models.
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