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Business Intelligence Engineer, SCOT Automated Inventory Management (m/f)
Business Intelligence Engineer, SCOT Automated Inventory ManagementJob ID: 10574391 | Amazon Europe Core SARL - LUXDescriptionThe Supply Chain Optimization Technologies (SCOT) organization owns Amazon's global…
FTC Learning and AI Process Improvement Specialist, EU Learning (m/f)
FTC Learning and AI Process Improvement Specialist, EU LearningJob ID: 10570403 | Amazon EU Sarl - A84DescriptionWe are searching for a versatile Learning and AI Process Improvement Specialist who can operate at the…
Lead 3D Brand Designer
Leads PrizePicks' 3D design discipline end to end — building 3D characters, environments, and objects for brand campaigns and product moments, integrating AI image-generation workflows (Weavy) into the pipeline, and setting how 3D work is briefed, reviewed, and shipped. Core tools: Blender/C4D with Octane or Redshift.
Arquiteto de Software
Buscamos um Arquiteto de Softwares para atuar em nosso time alocado em um de nossos principais clientes, com boa capacidade de análise, hands-on, senso de urgência, resiliência, proatividade, espírito de equipe e…
Data Engineer
Designs and maintains cloud-based data pipelines and warehouses for AI-driven marketing analytics, using AWS/GCP, Python, SQL, and ETL tools.
Senior Data Engineer
Client-facing Senior Data Engineer (Marketing & BI) in Kuala Lumpur: ~70% delivering SQL-based data models, cloud-warehouse pipelines and BI dashboards for marketing and e-commerce clients, ~30% building internal capability. Core stack is BigQuery (plus Snowflake/Databricks/Redshift) with Looker Studio, Power BI or Tableau.
Data Engineer - AWS
Staffy, a data & AI consultancy in Argentina, is hiring a Data Engineer to design, build, and maintain ETL/ELT pipelines on AWS — integrating data sources, modeling data, and ensuring quality, monitoring, and cost/performance optimization for analytics and business use cases. Core stack: Python, SQL, AWS (S3, Glue, Lambda, Athena, Redshift), Airflow, Git.
Senior Analytics Engineer
**External Applicants:** Please ensure all required documents are ready to upload before beginning your application, including your resume, cover letter, and any additional materials specified in the job description.…
Manager, Data Analytics and Engineering
At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL,…
Senior Java Developer (m/w/d) – Quarkus, GraalVM & API-Integration (Softwareentwickler/in)
Deine Rolle• Du entwickelst den XP-Layer weiter und bringst neue Features von der Idee bis in Produktion.• Du bindest CMS-APIs an, etwa Stibo DX CUE, Livingdocs, CoreMedia, Strapi oder WordPress, über REST, GraphQL…
Backend Software Engineer (Python / Go)
Backend engineer on CreatorIQ's Social Integrations team (Warsaw office or remote within Poland) building Python and Go services plus Kafka/AWS streaming pipelines that ingest creator data from Instagram, TikTok, YouTube and other social APIs at ~1B records/day, and LLM-based agents to automate engineering and support work.
Data Engineer
Data Engineer on tastytrade's Analytics team, owning data pipeline architecture and building scalable ELT pipelines with Snowflake, dbt, Airflow, Python, and AWS, plus Tableau reporting. Hybrid role, 3 days/week in the Chicago West Loop office.
Data Engineer
Data Engineer on the Analytics team at tastytrade/tastylive in Chicago (hybrid, 3 days/week in office). You'll own data pipeline architecture, build ELT with dbt, Python, Airflow, and Snowflake, drive data quality and observability, and support reporting in Tableau.
Manager, Techna
Union: Non-Union Number of Vacancies: 1 New or Replacement Position: Replacement Site: R. Fraser Elliott Building, Toronto General Hospital, 190 Elizabeth St., Toronto, ON Department: TECHNA Reports to: Project…
Data Engineer Intern / Junior (US Projects)
Fully remote intern/junior data engineer role working on US client projects during US business hours. Day to day: writing SQL and Python, building and supporting ETL/ELT pipelines, cleaning and validating data, and writing documentation, with Azure/Spark/Airflow/dbt as nice-to-have stack.