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Senior Engineering Manager leading cross-functional teams to build and scale AI and data platforms. The role focuses on delivering scalable solutions for real-time visibility and automated workflows while ensuring engineering quality, reliability, and cost efficiency within enterprise cloud environments.
Builds the AI layer for WasteHero's waste-collection platform: designing ML models and data pipelines for fill-level forecasting, dynamic routing and anomaly detection, plus LLM-based assistants for operations teams. Core stack is Python, SQL, dbt/Spark-style pipelines and cloud ML tooling.
Senior Data Engineer at ATP Ejendomme who owns and drives the technical development of a Microsoft Fabric data platform, working hands-on with Python, SQL, and CI/CD. The role covers data development, architecture, and DataOps to deliver stable, quality data in a Copenhagen-based team.
Senior Data Engineer at SEGES Innovation in Aarhus, building and operating the DataEstate platform on Databricks and Azure within the Data & Analytics team, turning data and AI into concrete solutions together with domain experts. Requires 3+ years of data engineering experience; flexible conditions and home office are offered.
Senior Data Engineer who owns and drives the technical development of ATP Ejendomme's Microsoft Fabric data platform end to end — designing dimensional data models, maturing DataOps/automation, and championing code management, DevOps and CI/CD. Core stack: Microsoft Fabric, Azure, Python, SQL and Power BI.
Data Engineer (3+ years) to build and maintain data pipelines, data models and platform components on SEGES Innovation's DataEstate platform built on Azure Databricks. Day to day: developing and operating data solutions, refining tasks, and collaborating with data scientists and agri-food experts, using AI tools to speed up development.
Design ML models and data pipelines that optimize waste collection routes across municipalities and fleets, build evaluation metrics and monitoring for reliable numbers, and help deploy LLM-based assistants with guardrails in daily operations. Core tech: machine learning, data engineering, and LLMs.
Data Engineer at ECCO in Copenhagen building an enterprise data platform: designing and maintaining scalable data pipelines that power analytics and AI use cases across the business, within an international Data Engineering team.
Arcoprime, Chile's leading convenience-store and service-station chain, is hiring a Senior Data Engineer to design and lead distributed cloud data architectures. Day to day they build scalable pipelines, apply infrastructure as code, ensure Data Lake quality, security and performance, and mentor other engineers.
Arcoprime, a leading Chilean convenience-store and gas-station retail chain, seeks a Senior Data Engineer to design distributed cloud/on-prem data architectures, build scalable pipelines, automate infrastructure with IaC and orchestrators, and ensure data quality and security (RBAC) in its AWS-based Data Lake, while mentoring the team.
Macquarie Group is hiring a Lead Analytics Engineer in its People and Engagement Technology stream to own the shared data platform and lead a small team across Australia and India. The role blends people leadership and subject-matter expertise in data engineering with hands-on design of data products for scalable insights.
Alois Australia is hiring a Data Engineering Lead in Queensland to own end-to-end data platform strategy, governance, and delivery. The role involves leading data engineers and analysts and driving modernization of integration, warehousing, and analytics built on Microsoft Fabric, Synapse, and Power BI.
On-site Data Engineer (AI/ML) at 4WD Supacentre's Sydney Olympic Park office, building production-ready data and ML solutions for forecasting, inventory, ecommerce and supply chain — covering the full ML lifecycle from feature engineering through deployment and monitoring, alongside Technology, Data, Ecommerce and Operations teams.
NCS Group Australia is hiring a Senior Data Engineer in Melbourne, VIC to design, build and optimise modern data platforms using Databricks or Snowflake with dbt. Day to day: lead architectural design, build scalable data pipelines, own governance and CI/CD, and mentor junior engineers.
Lead Data Engineer on a 12-month fixed-term contract at Commonwealth Bank in Sydney: lead a small team while staying hands-on, designing and building scalable, well-governed data pipelines in Snowflake, dbt and IBM StreamSets to support ASB data initiatives and financial crime capabilities.
Commonwealth Bank is hiring a Staff Data Engineer to lead data architecture and hands-on delivery for its Home Buying domain, building scalable, secure data pipelines on AWS big data services, Snowflake, and dbt while mentoring engineers and driving key technology decisions.
Hands-on lead data engineer on a 12-month fixed-term contract at Commonwealth Bank's Financial Crime Compliance team in Sydney: technically lead and line-manage 3-4 engineers while personally designing and building production data pipelines for transaction monitoring using Snowflake, dbt, SQL and IBM StreamSets.
Petsure (Australia) is hiring a Senior SQL & Data Platform Engineer to act as SME for its data, database and reporting stack — ensuring business-critical database availability, building cloud data platforms and CI/CD pipelines on Azure and AWS, and mentoring a growing data team. Hybrid role based in Chatswood, NSW.
Senior Data Engineer at NCS Australia who leads the design, development, and optimisation of modern data platforms. Day to day they build scalable pipelines with Databricks or Snowflake and dbt across ingestion, storage, modelling, and consumption layers, while guiding architecture, implementing ELT patterns, and mentoring junior engineers.
A data engineer who designs, builds, and optimises data pipelines for the Zetaris Platform, integrating cloud, on-premises, and hybrid data sources. Day to day they ensure data quality and governance for analytics and AI use cases, deliver scalable data solutions with engineering, product, and customer-facing teams, and automate CI/CD workflows in an Agile environment.
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