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BI Engineer/Data Analyst at APPLY who designs and maintains BI dashboards (Looker Studio, Power BI), writes SQL and dbt models across BigQuery/Snowflake, supports a GCP-to-Azure/Snowflake migration and Dagster pipelines, and prototypes AI-driven insights for business and marketing stakeholders.
Manager-level Data Engineer joining CFGI's founding Data & AI build team in Singapore, designing and operating governed, audit-ready data pipelines, lakehouse and semantic layers that power client AI and analytics solutions across APAC, with a healthcare/life-sciences focus. Core stack: Python, SQL, dbt, Snowflake/Databricks, orchestration and major cloud platforms. Hybrid in Singapore.
Data & AI - Data Engineer CFGI is standing up its Data & AI build team in Singapore and is seeking a hands‑on Data Engineer to build and operate the data foundation on which every client artificial‑intelligence…
At Function, the person who best understands a piece of data is rarely the person who can safely change it A data scientist knows exactly how a biomarker should be derived A clinician knows which reference range is…
Senior data engineer at super.money in Bengaluru owning the full data platform: designing batch and streaming ingestion pipelines, operating ClickHouse at scale, and building a data lake/lakehouse with open table formats as the org's governed source of truth. Core tech: ClickHouse, Kafka, Spark/Trino/Presto, Airflow/Dagster.
Senior Data Platform Engineer at Hazel (AI coworker for consumer brands) owns the data platform end to end in NYC (hybrid) — ingestion, transformation, and orchestration across tens of terabytes using dbt, Python, SQL, Dagster, Temporal, dltHub, and DuckDB/MotherDuck — while building AI agents that automate new integrations.
Senior Data Engineer owns Hazel's data platform end to end — ingestion, transformation, and orchestration across tens of terabytes of e-commerce data — and builds AI agents that automate new integrations. Core stack: dbt, SQL, Python, Dagster, Temporal, dltHub, DuckDB/MotherDuck. Hybrid in NYC.
Owns Hazel's data platform end to end — ingestion, transformation, and orchestration for tens of terabytes of consumer-brand data — while building AI agents that automate new integrations. Core stack: dbt, Python, SQL, Dagster, Temporal, dltHub, and DuckDB/MotherDuck.
Principal Data Engineer who sets technical direction for Anaplan's data platform: designing and shipping scalable batch and real-time pipelines, data lakes/warehouses, and AI-ready storage (vector, NoSQL, document) using Spark, Kafka, Airflow, Snowflake, and cloud infrastructure, while mentoring engineers.
Designs, builds, and operates data pipelines, warehouses, and dbt/SQL/Python transformation layers on platforms like Snowflake, BigQuery, Databricks, or Azure Synapse for enterprise clients, with emphasis on data quality, governance, lineage, and pipeline reliability.
About the role Theia Insights builds foundational financial intelligence products, including industry classification, knowledge graphs and factor risk models, for institutional investors. We serve some of the largest…
Builds and operates scalable Azure data pipelines feeding Microsoft Fabric, provisions secure cloud infrastructure on Azure, and containerizes workloads with Docker for a global consulting client. Hybrid role (2-3 days/week in the Zeeland office) requiring fluency in Dutch or Flemish plus English.
Harvey Nash is sourcing a 12-month (extendable) contract AI Data Engineer for grid operator Enexis in 's-Hertogenbosch (50/50 hybrid). Within Team Plasma you build data products, applications and AI-driven models for gas-network decisions, using Python, SQL, cloud (AWS/Azure), warehouse/lakehouse tooling and an AI-first development workflow.
AI Data Engineer for Team Plasma at Dutch energy grid operator Enexis (hired via Bright-Professionals), building data products, applications and models that support gas-network capacity, balancing and asset decisions. Core stack: Python, SQL, cloud (AWS/Azure), data warehouse/lakehouse tooling, with a strongly AI-first way of working.
Builds and operates the production infrastructure for AI/ML services: CI/CD pipelines, infrastructure-as-code, model serving, batch scoring, and workflow orchestration on AWS. Owns reliability, monitoring, performance, and cost, partnering with data scientists to move prototypes into production.
Hands-on senior engineer building and scaling Nxera's computational drug discovery platform: backend services in Python, AWS cloud infrastructure with Terraform/CDK, Docker/Kubernetes/ECS deployments, GitHub Actions CI/CD, and Prefect workflow orchestration, working closely with computational chemists and ML engineers to productionize research workflows.
Senior engineer on Voleon's Strategy Platform builds and operates the infrastructure between ML research and live trading at an AI-driven asset manager: data ingestion, feature computation, deployment pipelines, and observability. Day to day it's backend/platform engineering in Python, plus data infrastructure like Airflow, Spark, and Flink.
The Staff Software Engineer will lead the development and unification of the strategy platform, which manages data ingestion, feature computation, and deployment for ML-driven trading strategies. This role involves designing and evolving critical infrastructure that bridges quantitative research and live production trading systems.
Lead a team to design, build, and maintain scalable data pipelines and analytics systems using SQL, Python, and dbt, ensuring clean, reliable data for K–12 education insights.
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline. Sitting at the intersection of data engineering, data curation, and machine…
