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The Senior Azure Data Engineer will build large-scale Azure data platforms and models using Databricks, PySpark, and Delta Lake. This role involves working closely with the Head of Data to support AI platforms using Medallion Architecture.
Hands-on lead engineer shipping production C#/.NET services, React/TypeScript frontends, and Python-based LLM agentic applications across risk, compliance, and AI-powered payments platforms on Azure/AKS.
Senior Data Platform Engineer owning the medallion (Bronze/Silver/Gold) data architecture end-to-end on Microsoft Fabric for a next-generation risk analysis and scoring platform, using Spark, Python, Delta Lake, and Azure.
Technical Project Manager leading end-to-end enterprise Databricks data platform implementations, running agile ceremonies for data engineering and science teams while bridging C-level business requirements with technical execution.
The Data & AI Platform Engineer will build and maintain batch and streaming data pipelines using tools like Databricks, Kafka, and PySpark. The role also involves implementing RAG solutions and supporting data governance within a hybrid cloud environment.
The Senior Data Engineer will design and maintain scalable data pipelines, ETL processes, and data services across hybrid environments. The role involves collaborating with stakeholders to support analytics and MDM initiatives using technologies like Spark, Kafka, and cloud data platforms.
Data Engineer building and optimizing data pipelines, ETL processes, and storage solutions on AWS, Databricks, and Informatica IDMC for a Singapore-based company.
Senior Data Engineer building high-volume batch and streaming data pipelines on AWS and GCP for a marketplace/travel client, using Python, Spark, Airflow, and BigQuery.
Senior Data Engineer designs and develops high-volume batch/streaming data ingestion pipelines on AWS/GCP, leads teams, and collaborates with cross-functional groups; core technologies include Python/Java/Scala, SQL/NoSQL databases, Hadoop, Spark, and Airflow.
Designs and optimizes Databricks Lakehouse architectures, builds scalable data pipelines (PySpark, streaming), and collaborates with AI/ML teams to deploy models while ensuring governance, security, and cost efficiency.
The Data Engineering Specialist designs, develops, and maintains scalable ETL/ELT pipelines using Python, Dagster, and dlt. The role involves integrating data into cloud-based lakehouse architectures on AWS or Azure to support analytics and AI initiatives.
Designs and builds Databricks-based data pipelines (batch/streaming) and Lakehouse architectures using Delta Lake, PySpark, and SQL for advanced analytics and data transformation.
GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops…
Data Engineer owning and scaling AWS-based data infrastructure for analytics and applications, building ETL pipelines, enforcing data quality, and maintaining documentation across agile squads at Singapore's Land Transport Authority.
Senior Data Engineer owning data pipelines, warehouses and dashboards in an Azure Databricks/Delta Lake/Power BI stack for a New Zealand children's health nonprofit.
Maintains and supports Norton Rose Fulbright’s Azure-based data platform (Databricks, Microsoft Fabric) to ensure reliability, security, and compliance for legal and financial services.
Designs, builds, and optimizes scalable data pipelines and analytics platforms using Snowflake, Azure, dbt, and Python to support enterprise-wide data initiatives and business decision-making.
Senior Azure Data Engineer Location: Fully Remote with optional office access Salary: circa £80,000 to £100,000 plus benefits A global technology business based in London, is urgently looking for a new Senior Azure…
The Senior Data Engineer will build and maintain Databricks pipelines to process real-time IoT telemetry data into reliable assets for analytics and AI. This hybrid role requires strong expertise in PySpark, SQL, and modern data engineering practices, with a focus on leveraging AI-assisted coding tools.
Build and maintain ETL/ELT pipelines on Microsoft Fabric to ingest and transform raw data into reliable datasets for analytics and BI, using Delta Lake, Spark, and cloud platforms.
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