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Build and maintain a centralised Microsoft Fabric data warehouse using PySpark and SQL to deliver trusted, analytics-ready data products for CommBank’s internal technology insights.
Builds and maintains data pipelines for UNSW’s admissions systems, ensuring reliable data ingestion, transformation, and alignment with business needs using data engineering, modeling, and DevOps principles.
Design and build scalable data pipelines on Azure/Databricks to transform admissions data into dashboards and reports for UNSW leadership and government compliance.
Designs, develops, and deploys scalable software for mission-critical environments using cloud services, big data analytics, and search technologies like OpenSearch or Elasticsearch.
Builds and maintains secure-communications and edge-sensing systems in Rust and Python, deploying on constrained Linux devices for national security applications.
Build and maintain dbt data models in Snowflake to power analytics for a fintech platform that lets workers access pay instantly.
Designs and optimizes data-driven systems and processes for a nonprofit university endowment, focusing on Salesforce, CRM, and financial systems integration. Leads technical solutions, automations, and AI adoption while ensuring data integrity and scalability across cloud platforms.
ABOUT THE ROLE "You’ll be the bridge between big-picture infrastructure initiatives and the actionable work that gets them across the finish line." As a Business Analyst supporting our Infrastructure Cloud…
Designs and builds Delta Lake tables for financial datasets (AR, GL, invoices) using Databricks, creating PySpark pipelines for ERP data processing and integrating LLMs for semantic query tuning.
Designs and optimizes end-to-end data pipelines for a banking client, bridging cloud (AWS) and legacy Oracle systems using Airflow, dbt, and SAP tools while modernizing data architectures and ensuring data quality, security, and performance in a Pan-Baltic Agile team.
Engineer and maintain security data pipelines for a 24/7 SOC, focusing on Palo Alto Cortex XSIAM to onboard, parse, normalize, and optimize telemetry for threat detection and investigations.
Leads a team to build and modernize a cloud-based data platform for a healthcare company, migrating from a legacy data warehouse to a scalable Azure Lakehouse using Databricks and PySpark.
Develops and analyzes cybersecurity metrics (KPIs/KRIs) to assess risk, integrate systems, and visualize data for DoD clients, using Python, SQL, and tools like Qlik/Databricks to support RMF and vulnerability management.
Design, build, and operate cloud data systems and pipelines for batch and streaming data, using Python, AWS, big data tools like Hadoop and Spark, and data warehousing concepts to support analytics and ML workloads.
Design, build, and optimize high-availability blockchain data infrastructure at Subsquid, focusing on CI/CD, orchestration, monitoring, and incident management.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Lead product security at a high-growth B2B SaaS firm: build secure SDLC practices, run threat modeling and code reviews, ensure compliance with GDPR/SOC2, and partner with engineering on AI security.
Builds and scales the core backend/infrastructure for a customer feedback intelligence platform, focusing on ML/NLP infrastructure, data pipelines, and real-time analytics. Uses technologies like Golang, serverless computing, SQL/NoSQL, and ElasticSearch.
Designs and maintains scalable data pipelines, warehouses, and lakehouse architectures to support analytics and business transformation, using SQL, cloud platforms, and distributed processing tools like Spark.
The Director of Engineering (Data Platform) at Vectra leads engineering teams that build and operate large-scale data platforms for AI-driven threat detection. They'll work with petabytes of security telemetry, focusing on data ingestion, processing, storage, and analysis systems that support modern AI workloads and autonomous security workflows.
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