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Lead Data Engineer for Scalable AI-Powered Platforms
LexisNexis Intellectual Property Solutions (posted via Placements24) seeks a senior data engineer in South Africa to lead the design and operation of its data platforms, mentor engineers, and shape the Data Engineering function, applying AI-assisted development practices while collaborating with analysts and data scientists.
Data Platform Engineer - AI
A hands-on technical lead role designing, building, and operating enterprise-scale data platforms on Microsoft Azure — ETL/ELT pipelines, Lakehouse/Medallion architectures (ADLS Gen2, Delta Lake), and C#/.NET REST APIs and backend services, plus CI/CD via Azure DevOps, Docker/Kubernetes workloads, and monitoring with Azure Monitor.
Remote Data Engineering Lead - Cloud Platform & Snowflake
Lead data engineering at TheDriveGroup, blending hands-on engineering with architecture and technical leadership. You'll design scalable cloud data solutions centered on Snowflake, drive an AWS-to-Azure transition, mentor engineers, and align with stakeholders. Brisbane-based with fully remote options.
Data Engineering Lead - Microsoft Fabric & Azure Data
Lead end-to-end data platform strategy and governance on a Microsoft Fabric and Azure ecosystem in Sydney — driving data modernization, overseeing analytics, and leading cross-functional teams to deliver scalable, secure, cost-efficient, AI-enabled data solutions.
Cloud Data Engineering Lead - GCP & Kubernetes
Leads the design, build, and optimization of batch, streaming, and near-real-time data pipelines in a GCP-centric environment, working hands-on with BigQuery, Kubernetes/GKE, and related GCP services. Requires strong SQL and ETL/ELT skills, with emphasis on data quality, monitoring, and cross-team collaboration.
Senior Data Engineer: Azure & Databricks Architecture Lead
Senior Data Engineer at NEC Australia leading the design, build, and operation of scalable data platforms on Azure and Databricks. Day to day: building Spark, SQL, and Python data pipelines, implementing CI/CD, governance, and data quality frameworks, and mentoring engineers.
Senior Data Engineer & Platform Lead — Fabric & AI
Senior Data Engineer / 2IC in Sydney, working alongside the Head of Data & AI to lead a major Microsoft Fabric migration and the next phase of AI and analytics — designing scalable data solutions, influencing platform design, and owning engineering practices.
Lead Data Engineer: AI-Ready Cloud Data Platform
iSelect, an Australian fintech, seeks a Lead Data Engineer in Queensland to shape its AI-ready cloud data platform: delivering scalable, secure data solutions across cloud warehouses and lakehouses, setting engineering standards, mentoring engineers, and driving DataOps, MLOps, CI/CD, governance, and data quality.
New Job Opening: Lead Azure Data Engineer In Canberra, Act
Lead Azure Data Engineer on a 12+12+12-month contract with a Commonwealth Government agency in Canberra (hybrid). You design and build ETL/ELT ingest and transformation pipelines and frameworks using Azure, Databricks, Spark and Data Factory, prepare Parquet/Delta data for analytics and AI, develop Power BI visualisations, and mentor other data engineers.
Data Engineer Lead with MS fabric
XPT SoftwareAustralia PTY Ltd, incorporated in 2016, is a Software Services company XPT works with topclients across Australia in Banking, Insurance, Telecom,Retail, Energy, Mining and Manufacturingdomains. We have…
Lead Data Engineer
Lead Data Engineer on a 12-month federal government contract in Canberra (hybrid, extendable), designing and building data ingestion, transformation and visualisation solutions on Azure and Databricks while mentoring other data engineers and preparing analytics-ready data. Australian citizenship and NV1 clearance are mandatory.
Lead Data Engineer
Lead Data Engineer - Federal Government Location: Sydney/Canberra (hybrid, 1 day/week on-site) Contract: 12 months + 12-month extension Rate: $160 - 170/hour (including super) Start: 19th October 2026 About the role As…
Lead Data Engineer
Lead Data Engineer providing technical leadership for iSelect/Compare the Market's Data & Analytics platforms in Queensland: shaping the cloud data stack (AWS/Azure/GCP, Databricks, Snowflake, Spark), setting engineering standards, and delivering governed, scalable data, analytics, and GenAI-enabled solutions while mentoring engineers.
Lead AI and Data Engineer
Eaton’s Corporate Sector division is currently seeking a Lead AI and Data Engineer. The expected annual salary range for this role is $97000 - $143000 a year. Please note the salary information shown above is a general…
Lead AI & Data Engineer for Pet Care Platform
Dutch Vet is hiring a hands-on Lead AI/Data Engineer in Vancouver to design, build, and scale production AI systems for its veterinary care platform — owning AI infrastructure, evaluation, prompts, observability, and cost, while shaping ELT pipelines, data warehouses, and analytics alongside product and engineering.
Lead AI/Data Engineer
Lead AI/Data Engineer at Dutch, a virtual veterinary care startup in Vancouver: build and operate production AI agents and LLM services (evals, prompt optimization, observability) plus own the data platform — Snowflake/dbt ELT pipelines, event tracking via Segment/Amplitude, and experimentation infrastructure.
Lead Data Engineer - CDI Paris - Theodo Data & IA
Lead Data Engineer at Theodo Data & AI (consulting arm of Theodo) in Paris: lead a team of 2-5 data engineers delivering client projects — analyzing source data, building resilient data warehouses, lakes and real-time systems, and designing ETL/ELT pipelines. Core stack includes Python and Big Data tools like Spark, Hadoop, Airflow and Terraform.
Tech Lead Data Engineer
Cloudbeds is hiring a hands-on Tech Lead Data Engineer & Data Architect to shape its Snowflake/dbt-based analytics platform — owning data modeling, pipelines, DataOps/CI-CD, governance, cost tuning, and AI-readiness for a fully remote senior Data Analytics & BI team.
Lead Data Platform Engineer - Kubernetes & Data Vision
Lead Data Platform Engineer at the French Ministry of the Interior: design, deploy, and industrialize critical data platforms — leading architecture, security, and operations of Kubernetes clusters managed via Rancher 2, orchestrating data pipelines, defining roadmaps, and industrializing BI/Data platforms.