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At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It’s why we’re coworkers, not just employees. Coworkers who genuinely…
NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of…
About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps…
Ascendion is hiring a hands-on Level 3 Data Engineer in Chester (hybrid) to design and deliver a governed, scalable Lakehouse data platform, building enterprise batch, near-real-time and streaming pipelines. Core stack: PySpark, Spark, Kafka, Apache Iceberg, Airflow, Databricks and Starburst/Trino.
Lead Data Engineer at Elastic joins the internal Data Engineering & Architecture team to design, maintain, and improve the data platform's pipelines and infrastructure — spanning ingestion, streaming, transformation, and delivery using Airflow, Spark, Kafka, Flink, dbt, Iceberg, Terraform, and GCP — while partnering with stakeholders on data contracts and documentation.
Senior technical leader on ServiceNow's Workflow Data Fabric team, owning architecture for Trino-based zero-copy connectors, instance-to-instance sync, and private connectivity while staying hands-on in Java/Go on Kubernetes-based multi-tenant services. Drives performance, scalability, and reliability across the data platform.
Senior Data Engineer who designs and owns a petabyte-scale data lakehouse for AI/ML workloads: ingestion pipelines, open table formats, cataloging, governance, and vector database infrastructure serving researchers and production inference. Core tech includes Python, SQL, AWS, lakehouse engines (Iceberg/Delta/Hudi, Spark/Flink/Trino/DuckDB), and vector databases like pgvector or Milvus.
Platform engineer at OCBC who administers and supports the bank's enterprise Data, Analytics, and AI platforms across hybrid cloud (AWS and on-premises), working daily with Cloudera CDP/CML, Hadoop, Spark, Kubernetes/OpenShift, and AWS AI/ML services — handling upgrades, security patching, monitoring, and automation with Shell/Python scripting.
Наша команда занимается амбициозной и стратегически важной задачей – построение единого хранилища данных блока B2C - централизованное и эталонное место хранения данных. Мы ищем сильного инженера данных для работы с…
Senior engineer building and improving a large-scale creator search experience: retrieval, multimodal embeddings, ranking, relevance, and low-latency serving across hundreds of millions of profiles and billions of media files. Stack includes Python/TypeScript, AWS/GCP, Elasticsearch, vector search, and LLM-powered features. Fully remote in Europe.
A Senior Developer Advocate at Databricks engages with the Bay Area AI community to promote Databricks' AI/ML platform, creating demos, tutorials, and content around agentic systems (e.g., Genie Agents, MLflow) while bridging community feedback to product teams.
Lead Databricks’ open-source Developer Advocates, deepen engagement with Apache/Linux Foundation communities, and drive adoption of projects like Apache Spark™, Delta Lake, and MLflow through technical storytelling and community programs.
Build and grow the open-source Omnigent project, a meta-harness for AI agents, by creating demos, docs, and community programs that help developers integrate and contribute to the tool.
Senior engineer building a large-scale creator search experience used by thousands of businesses — improving retrieval, embeddings, ranking, relevance, and low-latency serving across hundreds of millions of profiles and billions of media files. Stack includes Python, TypeScript/Node.js, Elasticsearch, vector databases, and AWS/GCP.
Senior technical leader (Staff Data Engineer) in Chennai architecting enterprise-scale, multi-petabyte data solutions for Gen's cybersecurity platform (Norton, Avast, LifeLock). Day to day: designing data architectures with Snowflake, Kafka, Iceberg and dbt/SQLMesh on AWS, tuning costs and performance, mentoring senior engineers, and driving multi-quarter data initiatives.
Build and maintain Goodnotes' AI-native data infrastructure in Singapore, designing scalable pipelines and cloud-native systems (Snowflake, dbt, Iceberg, ClickHouse, AWS) to power analytics, experimentation, and AI products.
SRM Technologies is hiring a remote Senior Data Engineer with 8+ years of experience to design, build, and maintain enterprise-scale ETL/ELT pipelines and lakehouse platforms. Core stack: Python, PySpark, Snowflake, dbt, Apache Iceberg, and AWS data services, with a focus on performance tuning and production-grade engineering.
Staff-level engineer at Faire who owns the data platform plumbing: designing and personally building the CDC/streaming ingestion layer (CockroachDB/MySQL to Kafka to Iceberg on S3) feeding Snowflake and Databricks, plus data quality, SLAs, on-call reliability, pipeline migrations, and mentoring other engineers.
Hands-on engineer at a Singapore brokerage building and running the enterprise Data Lake and AI Platform: designing scalable AWS Glue/Redshift/Iceberg pipelines and deploying GenAI solutions such as RAG chatbots, AI advisors, and multi-agent workflows. Core stack is Python, SQL, AWS, Docker, and LLM tooling.
Senior Consultant Data Engineer at Capco (a Wipro company) in Doha, building and optimising cloud-native data platforms for financial-services clients. Day to day: designing Snowflake ELT/ETL pipelines, tuning performance and cost, and mentoring junior colleagues. Core tech: Snowflake, SQL, Python, AWS/Azure/GCP, dbt, Airflow, Kafka.
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