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Owns and maintains data pipelines and analytics solutions using Data Vault and dimensional modeling to support business goals in a collaborative team.
Builds and maintains data infrastructure for a Finnish insurance company, designing scalable data models with Data Vault and dimensional modeling to support analytics and business decisions.
Senior Data Engineer builds scalable data pipelines and architectures (Snowflake, Databricks, dbt) to help clients turn data into AI-driven business value.
Build and maintain data warehouses for a Finnish insurance company, modeling data with Data Vault and dimensional techniques while ensuring quality and compliance.
Build and scale Databricks-based data pipelines and analytical models for a large toys & consumer goods enterprise to enable trusted business insights.
Lead data analytics initiatives at a fashion rental platform, building scalable models and dashboards in Looker to guide business decisions and track KPIs across the company.
Lead the design and implementation of enterprise-scale data platforms (data warehouses, lakes, and analytics) using SQL, Python, and cloud tools, while mentoring a team and setting technical standards.
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
Senior Data Engineer builds SQL-based data models and BI dashboards for marketing and e-commerce clients, translating business needs into analytics solutions using cloud warehouses like BigQuery and tools like Tableau.
Build and maintain robust data pipelines for a global fintech, ensuring real-time accuracy for trading, compliance, and AI systems while implementing governance and observability from day one.
Senior Data Engineer builds SQL-based data models and BI dashboards for marketing and e-commerce clients, using cloud warehouses (BigQuery, Snowflake) and tools like Looker Studio or Tableau.
Lead the design and reliability of Deriv’s data pipelines, ensuring accuracy, observability, and governance for trading, compliance, and AI systems at scale.
Designs and implements cloud-native data architectures for an insurance-focused company using Azure services like Synapse, Databricks, and Power BI to enable analytics, automation, and regulatory compliance.
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Build and scale Python applications that integrate ML models, using PySpark and Kubernetes; collaborate with data scientists to deploy end-to-end ML pipelines.
Lead the design and build of a modern Azure-based data platform, owning scalable pipelines, governance, and mentoring engineers to power enterprise analytics and ML.
Senior Data Engineer builds and optimizes Azure-based data pipelines for a NSW government department, reverse-engineering legacy systems and cleaning messy data using Medallion Architecture and Power BI.
Build and maintain secure data pipelines and curated datasets in Microsoft Fabric/Azure for analytics and reporting, using PySpark, SQL, dbt and medallion architecture.
Design and build scalable data pipelines on Azure Databricks and Microsoft Fabric, mentor junior engineers, and deliver cloud-native analytics solutions for clients across finance, government, and other sectors.
Build and maintain a Snowflake-centric cloud data platform to power analytics and decision-making at a major airline, using Python, SQL, Airflow, and AWS.
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