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Lead hands-on data engineering for clients in retail, media, and finance, building cloud pipelines and models on Azure, Databricks, and Fabric to power AI solutions and analytics.
Are you a highly skilled Senior Data Engineer ready to lead and innovate in a dynamic, cloud-driven environment? We’re looking for a pivotal team member to design, develop, and maintain cutting‑edge data solutions,…
Lead a team to design and build analytics solutions in Microsoft Fabric and Power BI, modeling data, writing SQL/Python, and delivering governed metrics and reports for enterprise clients.
Leads a team to build and maintain Prudential Malaysia’s data lake and enterprise data model on Azure, enabling analytics, AI, and regulatory reporting while ensuring governance and compliance.
Design and build cloud-based data pipelines and ETL/ELT processes using Python, PySpark, AWS/Azure services to support insurance analytics and modern data architecture.
Builds and maintains scalable finance data pipelines on GCP (BigQuery, Dataflow, Pub/Sub) to power reporting, FP&A, and analytics for McDonald's India, ensuring data reliability and governance.
Build scalable ELT pipelines and self-serve dashboards to turn raw data into trusted, decision-ready insights for Product, Growth, Revenue and Operations teams.
Builds reusable data models and metrics to turn raw data into trusted insights for product, growth, revenue, and operations teams.
Build and maintain scalable data pipelines on AWS and Databricks, using Python, PySpark, and modern ETL/ELT frameworks to deliver reliable data across the organization.
We're looking for a Data Integration Engineer to join a scale up lending business, where you'll be the person who keeps data moving cleanly and reliably across the core systems. This is a genuinely hands‑on…
We’re looking for a Data Integration Engineer to join a scale up lending business, where you’ll be the person who keeps data moving cleanly and reliably across the core systems. This is a genuinely hands—on data…
Builds and optimizes data pipelines and warehouses using AWS services, Teradata, and PySpark for a telecom-focused enterprise platform.
Build and maintain Jetstar’s Snowflake-centric cloud data platform, designing scalable pipelines and enforcing data quality to power analytics and evidence-based decisions across the airline.
Build and maintain scalable data pipelines and models for financial planning, reporting, and forecasting using Databricks, SQL, and EPM tools like TM1.
Build and maintain Azure-based data warehouses and ETL pipelines using Azure Data Factory, Synapse, and SQL, integrating cloud and on-prem systems.
Senior Analytics Engineer builds scalable data pipelines, models, and dashboards using SQL, Python, dbt, Snowflake, and BI tools to deliver client-facing analytics solutions in a consultancy setting.
Build and maintain scalable data pipelines on AWS and Databricks using Python, PySpark, and SQL to deliver reliable, high-quality data for analytics and decision-making.
Senior Data Engineer builds and maintains data pipelines, cleans and processes complex datasets, and designs ETL/ELT workflows using Python, SQL, and AWS tools to power Presight’s GenAI-driven analytics platform.
Build and maintain reliable data pipelines for a global fintech, powering trading decisions, compliance, and AI systems with real-time accuracy and governance.
Senior Data Engineer builds and maintains Azure-based data pipelines, warehouses, and lakehouses to power analytics and AI workloads using PySpark, Azure Synapse, and ADF.
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