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Designs and builds an AI harness, agent framework, and reusable components that let multiple specialized AI agents collaborate, execute tasks, and orchestrate workflows on a modern data platform built on Apache Iceberg, Trino, and Parquet. Role spans independent delivery to technical leadership depending on experience.
A senior data engineer at NCS designs and builds the AI harness for a modern data platform based on Apache Iceberg, Trino, and Parquet. Day to day, they create a multi-agent framework with stateful workflows and develop agents that discover Iceberg catalogs, profile datasets, generate metadata, ingest data, and optimize data structures.
NCS (a Singtel subsidiary AI/tech services firm) is hiring a Senior AI Data Engineer in Singapore to build an 'AI harness' — a multi-agent LLM framework handling orchestration, state, and tool calling — plus specialized agents that run data engineering on an Apache Iceberg, Trino, and Parquet lakehouse. Daily work spans Python pipeline development, agent frameworks (LangChain/LangGraph), and data
Lead Data Engineer owning the end-to-end data chain at Groupe Santiane (an insurance broker in the Kereis group): turning business needs into reliable models, pipelines and tables, enforcing data quality and KPI definitions, mentoring data engineers, and delivering the Olympus data product's dashboards. Core stack: SQL, Python, and orchestration/ETL tools like Dataiku, dbt, Airflow or Dagster.
A senior full-stack engineer designs, develops and maintains internal tools for the technical management of telecom networks, working in an agile team of ~10 developers. Core stack is Python 3/Django with React/JavaScript/HTMx on the front, PostgreSQL/MySQL, and Docker/Kubernetes with GitLab CI; the role also includes mentoring juniors and shaping technical decisions.
Senior Python engineer in Lyon designing, building and maintaining internal tools for the technical management of mobile and fixed telecom networks. Day to day: develop APIs and services, work with PostgreSQL, Docker/Kubernetes and GitLab CI in an agile team of ~10 devs, and mentor junior developers.
Product manager owning Ridgeline's reporting and data-querying infrastructure for investment firms — the Reporting Engine, Report Builder's data layer, and Historical Data Archive. Day to day, partners with engineering on a distributed query platform, curates governed/trusted datasets, writes PRDs and use cases, and uses AI tools throughout the product lifecycle.
About us Factori is a rapidly growing location and consumer intelligence company built for an AI-first world. Each day we ingest billions of privacy-compliant signals and maintain the world’s most comprehensive…
Build what happens behind the query. Work on the core of a high-performance data platform — query planning, optimization, distributed execution and performance at scale. About Our Client Our client is a leading…
Lead a data engineering team at S7 Techlab (S7 Airlines' IT division) building and maintaining data-mesh DWH products. Day to day: managing engineers, designing technical solutions, and building/optimizing ETL pipelines with SQL, Python, Vertica, PostgreSQL, Airflow, Flink, Kafka, S3 and Kubernetes in a hybrid/office setup in Moscow.
Наша команда отвечает за весь продуктовый ML в Сбере на базе GigaChat. Мы обучаем базовую модель для работы в продуктах СБОЛ (Сбербанк Онлайн, более 80 млн MAU) и Giga.Chat (более 20 млн уникальных пользователей). Мы…
About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by…
On-site data/software engineer in Chantilly, VA building high-throughput, mission-critical data pipelines and cloud infrastructure for a custom enterprise application. Day-to-day work spans Python, Spark, Airflow, Iceberg/Trino Lakehouse tooling, AWS with Terraform, SQL tuning, and geospatial data; current TS/SCI clearance with polygraph is mandatory.
Architect and evolve a next-generation, high-scale AdServer for Connected TV (CTV) handling 1 trillion+ daily requests. You will provide technical leadership, define platform architecture, and solve complex distributed systems problems using C/C++, Go, and Linux internals while mentoring senior engineers.
MetaComp, a MAS-licensed Singapore digital payments and digital asset platform, seeks a Senior Data Engineer in Kuala Lumpur to build and scale its cloud data lakehouse and analytics platform — owning batch/real-time pipelines, data modelling, quality, governance, and platform reliability for reporting, risk, compliance, and AI use cases.
Builds and operates large-scale data infrastructure (Kafka, Spark, Flink, Trino) to process trillions of daily events for ML, analytics, and real-time systems in a high-performance, petabyte-scale environment.
Builds and operates distributed data pipelines processing billions of events daily to power AI-driven insights, using Python, Spark, Kafka, Flink, and SQL in Palo Alto.
Job Responsibility Working with subject-matter experts (SMEs) across finance, infrastructure, security, risk, and application teams, you will learn their processes and constraints to design AI and agent-based solutions…
The Rice University Department of Computer Science and Department of Materials Science and NanoEngineering are seeking a Data Scientist to build and operate the data infrastructure for READINESS, a new $20 million…
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