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Designs AI-powered data solutions and dashboards using Snowflake/BigQuery, translating business needs into scalable data products for campaigns and clients.
We are a Data & AI Architects team focused on helping customers understand what this new AI era makes possible, and what it actually takes to make the possible a reality: the right architecture, a trusted data…
Designs and standardizes data schemas to turn messy public documents into clean, queryable datasets for infrastructure market analysis.
Build and own Jetson’s marketing data lake—integrating ad platforms, CRM, and offline sources with dbt/Iceberg/Glue—and design attribution and experimentation models to guide $1B+ ad spend decisions.
Build and own Jetson’s marketing data lake—integrate ad platforms, model attribution, and deliver dashboards that guide multi-million-dollar ad spend decisions using dbt, Iceberg, Fivetran, and Metabase.
Role: Data QE / Functional QE Experience Required: 6–8 Years Primary Skills: Big Data & Hadoop Ecosystem, .NET Technologies, Agile Way of Working, Functional Testing Role Overview We are seeking a versatile Quality…
Designs and governs BigQuery databases for a real estate asset management company, ensuring efficient data storage, access control, and cost optimization while collaborating with data engineers and business teams to build scalable analytics pipelines.
Build and scale backend systems for Arc’s electric marine vessels, including infotainment, telemetry pipelines, and cloud infrastructure using TypeScript/Python/Java/Go/Rust on AWS/Azure/GCP.
Design and build large-scale data pipelines using BigQuery and Python to power analytics and reporting for a retail-focused company.
Your Mission This position bridges the gap between business requirements and technical implementation. It encompasses the design of data pipelines, integrations, and storage solutions (databases, data warehouses, and…
Senior Data Engineer builds scalable pipelines, event streaming, and AI-powered tooling for Just Eat’s retail media platform, using BigQuery, dbt, Airflow, and GCP/AWS.
Build and maintain analytics-ready data models in a cloud data warehouse using SQL and dbt, transforming raw data into trusted datasets for business use while collaborating with data engineers and analysts.
Company Description At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this…
Designs and builds scalable data pipelines and architectures using Python, SQL, and cloud platforms (AWS/Azure/GCP) to transform raw data into actionable insights.
Builds and maintains data pipelines to ingest, transform, and validate geospatial data (GIS/ArcGIS) in BigQuery, ensuring reliability and quality for cross-engineering collaboration.
We're looking for a Senior Data Engineer to design, build, and optimise scalable data platforms that support analytics, AI/ML, and smart manufacturing initiatives. You'll lead the development of batch,…
Designs and maintains a GCP-based data platform, builds CI/CD pipelines, and manages Terraform IaC for enterprise-scale data ingestion and analytics.
Build and ship full-stack features for a healthcare AI platform, working across React frontends, Python backends, and GCP data pipelines to ingest and process real-world patient data.
Build and deploy enterprise-grade AI agents and RAG systems using Google’s Gemini Enterprise stack, from front-end interfaces to production-grade retrieval pipelines and cloud infrastructure.
Leads the redesign of high-volume data ingestion pipelines for an automotive eCommerce platform, defining a 2-3 year architectural roadmap while ensuring reliability and scalability. Owns distributed systems, Spark/PySpark, Kafka, and cloud infrastructure (AWS/EKS) with mentorship responsibilities.
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