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Designs and builds scalable data pipelines and warehouses using MS SQL, Python, and Microsoft Fabric to power analytics and AI solutions in a hybrid role.
Designs and maintains scalable GCP data pipelines and warehouses using BigQuery, Dataflow, and Airflow to enable analytics and ML workflows.
Design and build scalable data pipelines and analytics platforms using Microsoft Fabric, SQL, and Python to consolidate operational data into actionable insights for business reporting and decision-making.
Design and build scalable data pipelines, ETL processes, and dashboards for a media company using Azure, Databricks, Spark, and Python.
Build and optimize Microsoft-based data infrastructure for real-time financial analytics, fraud detection, and BI systems using Azure Data Platform and Microsoft Fabric.
Designs, builds, and optimizes Azure-based data pipelines and lakehouse architectures using ADF, Databricks, Synapse, and PySpark to deliver clean, reliable datasets for analytics and AI workloads.
Design and build scalable data pipelines and platforms in Python and SQL, integrating cloud and on-prem systems to power analytics and AI solutions.
Designs and builds scalable data pipelines and warehouses in Azure, using T-SQL, KQL, Python, and Power BI to support analytics and AI integrations for a Microsoft cloud and AI-focused company.
Designs and builds cloud-based BI solutions, including data warehouses and Power BI dashboards, to deliver business insights from raw data.
Builds and maintains data warehouses/analytics pipelines using SQL Server/Azure tools (SSIS, SSRS, SSAS) to support business intelligence and reporting, with experience in Power BI dashboards and RDBMS administration.
Designs and builds scalable data pipelines, ETL/ELT processes, and cloud-native data warehouses to support enterprise analytics and reporting using Azure, AWS, or GCP.
Designs and builds scalable data models and ETL pipelines to turn raw financial data into trusted, analytics-ready datasets for BI and reporting.
Build trusted data products that power enterprise decision-making for a South African financial institution, transforming raw data into analytics-ready datasets using SQL, ETL/ELT, and cloud platforms like Azure and Databricks.
Build AI-powered analytics apps that turn conversational queries into root-cause insights and recommendations, owning the metrics semantic layer, attribution engine, and data quality for a Hong Kong licensed financial firm.
Build and optimize enterprise-scale data pipelines and BI solutions using SQL, ETL, and Power BI for a leading Hong Kong telecom.
Senior Data Analytics Engineer builds and optimizes enterprise data pipelines and warehouses for a large tech/telecom firm, focusing on financial and insurance transformation using SQL, Power BI, and ETL tools.
Designs and maintains scalable data models in Snowflake using dbt to power reliable analytics for a meal-delivery marketplace, while collaborating with cross-functional teams to improve data reliability and self-service access.
Design and build a modern, scalable data platform for analytics and ML, migrating legacy systems to cloud-based warehouse/lakehouse architectures with real-time pipelines.
Your role as Product Data Analyst Dialogue is looking for a Product Data Analyst to take part in our mission to help people improve their wellbeing. Working closely with Vanessa Jones, Director of Product, your role…
Build and maintain trusted data models for clients in e-commerce, finance, and SaaS, translating business questions into SQL-based analytics and reusable data marts for BI and AI tools.
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