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Be part of the solution at Technip Energies and embark on a one-of-a-kind journey. You will be helping to develop cutting-edge solutions to solve real-world energy problems. About us: Technip Energies is a global…
Data engineer (60–100%, Bern, hybrid "Work Smart") at Swiss Federal Railways (SBB), building and operating data pipelines and scalable data products on SBB's Enterprise Analytics Platform with Snowflake, providing reliable data foundations for energy decisions. Core stack: Python, Java, TypeScript, dbt, SQL/ETL-ELT, Docker/Kubernetes/OpenShift and CI/CD.
Senior BI engineer at Hydrafacial (beauty/skincare health company) in Long Beach, CA — hybrid, 2 days/week in office. The hands-on technical lead for the Power BI analytics function: owns architecture, semantic model design, and Git-based governance, mentors BI developers, and manages the BI backlog. Core stack: Power BI, DAX, SQL, Snowflake.
Madrigal is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a liver disease with high unmet medical need. Madrigal’s medication,…
Six-month data science internship at Société Générale's Data & AI division in La Défense, building anomaly-detection and recommendation models for automated banking controls. Day to day: specify and implement use cases in the bank's datalab, back-test models, and present results using Python/PySpark and DataViz tools like PowerBI and Streamlit.
Senior Data Platform Engineer building ASICS Apps' greenfield enterprise data platform for the Race Roster product: Python/dlt ELT pipelines from AWS RDS and APIs into Snowflake, bronze→silver→gold transformations, FinOps cost optimization, and curated gold-layer models feeding Metabase and AI/ML initiatives.
Talent-pool opening for a mid-level data scientist focused on fullstack web development in Minerva Foods' Data & AI team: building responsive React/Vue frontends, integrating REST/GraphQL APIs, and writing Node.js or Python backends, plus automated testing, deploys, and production support for internal business solutions.
Summer 2027 ML engineer intern at Kensho, S&P Global's AI innovation hub (onsite in New York City or Cambridge, MA). The intern leads a project prototyping, building, and testing ML models and pipelines for a GenAI platform and LLM-powered applications, working with Python, PyTorch, LangGraph, and MLOps tooling under senior mentorship.
Role Mission: To provide technical leadership within StarHub’s Digital Experience Platform (DXP) Data organization by designing, delivering, and operationalizing complex data pipelines, curated datasets, and reusable…
Role Mission: To lead and scale the Data Platform Engineering and Operations function within StarHub’s Digital Experience Platform (DXP) Data organization. This role ensures the continuous reliability, scalability, and…
Job Description Please apply here for this position. (Only applications submitted through this link will be processed.) Role Purpose The AI Engineer will build AI agents, knowledge retrieval capabilities and platform…
Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$518 billion (US$401b, €350b, £304b, RMB2.77t) as at 31 March 2026. Our Purpose “ So Every Generation Prospers ” guides…
Na co dzień w naszym zespole: projektujesz i implementujesz modele ML (problemy klasyfikacyjne, regresyjne, analizy przestrzenne GEO, sieci społeczne, segmentacja) - od etapu prototypowania do wdrożenia produkcyjnego,…
DEINE ROLLE Anforderungen verstehen und Kunden beraten : In Zusammenarbeit mit den Fachbereichen erarbeitest du konkrete Anforderungen an die Data Pipelines und berätst unsere Kunden zu Best Practices und Snowflake…
Senior role at HDI Group in Hannover building and operating generative AI solutions: scaling data/analytics infrastructure, developing GenAI models, prompts and agent logic, and owning data sourcing, quality and production deployment of AI pipelines. Core stack includes Python, SQL, ML frameworks (e.g. scikit-learn), LLM tooling like LangChain, and cloud AI platforms (Azure OpenAI, AWS Bedrock, GC
A 6-month onsite internship (Jan–Jun 2027) with Singapore Exchange's Data & AI Engineering unit in Singapore. The intern builds end-to-end data science and ML pipelines — extracting data with kdb+/q, modeling in Python, and deploying on Google Cloud Platform with Kubeflow and Docker.
Senior data engineer / BI developer building enterprise healthcare data platforms and analytics: designing scalable ELT pipelines and Medallion architecture on Snowflake, modeling transformations in dbt, and enabling AI-driven insights. Core tech includes Snowflake (Snowpipe, Streams, Snowpark, Cortex), dbt, and orchestration with Airflow/ADF/dbt Cloud, based in India.
Senior consulting role in Zurich acting as technical lead for client data platforms: designing and running Snowflake architectures, building pipelines with SQL, Python/Snowpark and dbt, delivering GenAI/ML use cases with Snowflake Cortex, automating via CI/CD and Terraform on AWS/Azure, plus coaching colleagues and supporting presales.
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