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Title: Cybersecurity Data Enablement Specialist - Onsite Mandatory skills: cybersecurity, security analytics, cyber operations, data analytics, SIEM platforms, cybersecurity data platforms, modern data lake, lakehouse,…
The Marketing Data Scientist will build and manage measurement, experimentation, and attribution models for OpenArt's marketing channels using SQL, Python, and various analytics tools. This role involves deep collaboration with marketing and product teams to optimize spend and drive growth for an AI-native creative platform.
The Senior UX Researcher will design and execute quantitative and qualitative research strategies to support product innovation at Skydropx. The role involves analyzing user data using SQL, Python, and R to generate actionable insights and improve the logistics platform experience.
Who We Are Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. 2,500+ people across 27 countries and 1,000 clients, including some…
About Artefact Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the…
Senior Data Engineer building and scaling Databricks on AWS data ingestion pipelines for a healthcare client, using Python, Spark, and Delta Lake with medallion architecture.
Lead a team managing Fingerprint’s data warehouse and ML Ops pipeline, ensuring reliable, scalable infrastructure for fraud-detection models and analytics using ClickHouse, DataBricks, and AWS SageMaker.
Role Title: Senior Data Engineer (GCP, Agentic AI) Location: Norwest, NSW Start Date: ASAP Duration: 12 Months Contract with high possibility of extension Working Flexibility: Hybrid (3 days onsite) NTT Data is seeking…
Lead Analytics Engineer responsible for driving monetization metrics and data pipelines, partnering with data scientists and engineering teams, using SQL, Airflow, Tableau, and other data engineering tools to build and maintain analytics solutions.
Build and scale data infrastructure for an AI-driven hedge fund, designing systems that support research and production workflows while collaborating with ML experts and engineers.
Designs and builds scalable data platforms and pipelines using GCP tools like BigQuery, Airflow, and Trino, enabling data-driven decisions in hybrid work settings.
Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login…
Senior Revenue Operations Analyst ensures the accuracy and reliability of go-to-market data for Sales, Marketing, and Revenue Operations at a business travel and expense SaaS company, focusing on CRM integrations and scalable data quality processes.
Senior Revenue Operations Analyst responsible for ensuring the accuracy and reliability of go-to-market data, integrating third-party sources into CRM systems, and building scalable data quality processes to support Sales, Marketing, and Revenue Operations.
Build and maintain cloud-native data pipelines on GCP for an aerospace client, designing Medallion-architecture solutions and ensuring data quality and governance.
Senior Data Engineer building and scaling Zip's Data & AI Platform using cloud data platforms (Snowflake, Databricks), Python, SQL, Kafka, and vector search/RAG to power analytics, ML, and GenAI workloads for a Buy Now, Pay Later company.
Senior Data Analyst for GTM Analytics at Luxury Presence, focusing on building and maintaining data models with dbt, analyzing pipeline, funnel, and campaign performance for Sales, Marketing, and Client Success teams, and contributing to Lighthouse, an internal BI-as-code platform with AI-driven workflows.
Required Qualifications: Experience : 15 years in IT infrastructure, software engineering, or cloud architecture, with 5 focused specifically on advanced AI/ML and GenAI solutions. Core Technical Stack : Deep hands-on…
Build and operate Kaseya’s scalable data platform, designing real-time pipelines and event-driven systems to power analytics, AI, and automation across millions of endpoints.
Owns the technical strategy for Beamery’s data platform, defining architecture and standards, using technologies like BigQuery, dbt, Kafka, and Python.
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