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ZeroNorth is seeking a Senior Data Engineer to build and maintain scalable data pipelines and data products for their maritime operations platform. The role involves collaborating with data scientists to ensure high data quality and provenance for agentic workflows.
Role Overview We are seeking a proactive and strategic Client Success Manager (CSM) to drive adoption, satisfaction, and growth across our client base in South Africa. This role is critical to ensuring the long-term…
Backend/ML Engineer at LG Electronics responsible for building and iterating on backend APIs, data pipelines, and integrations for AI/ML-powered proof-of-concept projects across various product domains. Core technologies include LLMs, embedding models, vision, and speech technologies, with experience in FastAPI/Flask, SQL, and non-relational data stores.
ABOUT OUR CLIENT Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an…
Build and maintain production-grade data pipelines for customer data, enabling Customer 360 initiatives in a modern engineering environment.
Lead Data Engineer at Liverpool FC responsible for building and maintaining the club's enterprise data platform and data warehouse using AWS (S3, Lambda, Fargate, Glue, Redshift), SQL, and Python, while providing technical leadership to offshore development teams.
Design and build serverless AWS data pipelines for real-time lottery analytics, integrating marketing tech and ERP systems using Python, DynamoDB, Lambda, and SageMaker.
This role involves designing and building scalable, automated data pipelines within a modern Azure environment to support data-driven decision-making. You will work in an agile team using tools like Azure Data Factory, Databricks, and Synapse to manage the full data lifecycle.
Python/AWS Data Engineer (hybrid in McLean or Richmond) building, automating, and improving data ingestion and ETL pipelines for a financial services client's real-time data platform.
TITLE: LEAD AWS DATA ENGINEER LOCATION: REMOTE F2F FINAL ROUND INTERVIEW MUST HAVE LEAD EXPEREINCE AND MOVING DATA MIGRATION FROM AZURE TO AWS. Lead the development of data models using Dimensional Modeling, Data…
Build ETL pipelines in Python for trading and risk applications, working with senior engineers on data engineering projects during a Singapore internship.
Senior Full-Stack Engineer building a B2B scholarship platform with Laravel/PHP/MySQL backend and Nuxt 3/4/Vue 3 frontend, leveraging AI tools like Cursor and Gemini to accelerate shipping velocity.
Senior Data Engineer building BI warehouses, data lakes, and ETL pipelines using big data, streaming, and data visualisation tools on both on-premise and cloud platforms.
Data Engineer builds and maintains ETL pipelines, automates data ingestion, and optimizes BigQuery storage to power business decisions at a fast-growing Ukrainian outsourcing support company.
The Staff Data Platform Engineer will lead the design and development of Vercel's financial data infrastructure, building reliable pipelines for revenue reporting and billing using technologies like Kafka, ClickHouse, and Snowflake. This role involves partnering with Finance and Accounting teams to ensure data accuracy, auditability, and compliance while mentoring engineering staff.
The Data & AI Platform Engineer will build and maintain batch and streaming data pipelines using tools like Databricks, Kafka, and PySpark. The role also involves implementing RAG solutions and supporting data governance within a hybrid cloud environment.
Senior Data Engineer designing and maintaining a large-scale Weather Data Lakehouse platform, building cloud-based data pipelines for ingestion, transformation, and processing to support analytics and AI/ML workloads.
Designs and maintains an AWS Data Lake and Lakehouse platform, focusing on data ingestion, transformation, storage, security, and governance to ensure scalable, reliable, and cost-efficient data pipelines.
Lead day-to-day BAU data engineering operations and production support for a Singapore-based insurance company, focusing on AWS and Snowflake data platforms, pipeline development, and data migration.
Design, implement, and manage scalable enterprise data platforms (real-time and batch) for a major industrial/automation multinational's regional Data/AI HQ in Singapore, owning the end-to-end data lifecycle.
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