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A data engineer in Kuala Lumpur who designs and maintains cloud data pipelines (Azure/AWS) orchestrated with Airflow, supporting property-development analytics — with roughly 30% of the role focused on building AI agent solutions using CrewAI/LangChain and RAG pipelines.
Builds and maintains data pipelines and reporting tools for an ad-tech platform, integrating APIs and warehouses like BigQuery to power client dashboards and insights.
Build and maintain Gigs’ data platform, integrating telecom usage, billing, and product data into reliable datasets for finance and product decisions using Python, SQL, Dagster, and cloud infrastructure.
Fetcherr is hiring an MLOps Engineer in Netanya to build and maintain the data pipelines and scalable ML systems behind its AI demand-forecasting models. Day-to-day work centers on Python, pipeline orchestrators like Dagster/Airflow, Docker/Kubernetes, and distributed computing for training and inference.
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment,…
Senior Software Engineer building the data flywheel platform that turns world-scale fleet data into training data and powers foundation-model training/evaluation at Wayve, using Python, distributed data processing (Ray, Spark/Databricks), and workflow orchestration.
At LIGENTEC, a Swiss photonic integrated circuits (PIC) company, the Research Data Engineer builds a Python analysis library and the data pipelines feeding it — architecting ETL/ELT orchestration, multi-site test-data infrastructure, and traceability from layout to measurement using Python, SQL, Git, and orchestrators like Prefect/Airflow/Dagster, onsite in the Lausanne area.
Hands-on Lead Data Engineer owning the Data Core of a Customer Intelligence & Personalization platform built on a Golden Record from banking, ecosystem and external data. Designs Bronze/Silver/Gold layers, builds ELT pipelines and transformations with SQL, dbt and Python, and sets standards for data quality, lineage and metadata.
Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand…
Senior Data Engineer in Chandigarh who designs, builds, and owns scalable data pipelines and data models for reporting, analytics, and operations, while optimizing performance, improving data quality, and mentoring junior engineers. Core stack includes SQL, Python/Java, ETL/ELT, cloud data platforms like Snowflake/Databricks, and orchestration tools like Airflow.
Flex is Gridsight's DER orchestration product: dynamic operating envelopes, emergency backstop, flexible exports, and battery orchestration. It's how utilities actively manage millions of solar systems,…
About the role: At Vantage, the AVP, Data Engineer is mainly responsible for ingesting and transforming replicated source data into data products that are easily consumed by the Reporting team and other downstream…
Scope of Position About Us : EDF power solutions North America has been providing clean energy solutions throughout the U.S., Canada, and Mexico since 1987. We are a market-leading independent power producer and…
About the CompanyVantage Group Holdings Ltd. (Vantage) was established in late 2020 as a re/insurance partner designed for the future. Driven by relentless curiosity, our team of trusted experts provides a fresh…
Leads the strategy and roadmap for Fivetran’s enterprise-grade platform features, focusing on security, governance, and scalability for large customers.
Builds and scales a Snowflake-based data platform for a U.S. fintech lender, migrating Alteryx workflows into production-ready data products for Treasury/Finance domains while ensuring data quality and pipeline reliability.
Build and maintain data models and pipelines for Anduril’s AI-powered defense systems, using SQLMesh, Palantir Foundry, and Apache Iceberg to create reusable analytics that drive real-time decision-making.
Build and maintain data pipelines and models to transform HR data into clean, analytics-ready datasets for workforce insights and decision-making.
Build and maintain a scalable data platform for analytics and AI-driven defense systems, using cloud infrastructure, Kubernetes, and modern data tools to support mission-critical operations.
Build and lead Anduril’s data models and analytics infrastructure, turning raw military-operations data into real-time, AI-powered decision tools using Palantir Foundry, SQLMesh, and Apache Iceberg.
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