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Bloomberg Industry Group runs on data. As the Commercial Data Engineering team, we are responsible for creating the building blocks that allows us to drive analytics throughout the organization to improve our products,…
End Date Sunday 06 September 2026 We Support Flexible Working – Click here for more information on flexible working options Flexible Working Options Hybrid Working Job Description Summary Define the test coverage and…
Product Manager, HEDIS Data & Agentic Hybrid role (3 days/week in office) at our Burlington, Renton, Spokane, Vancouver, Portland, Medford, Salt Lake City, Boise, Lewiston, or Fargo offices. Candidates must reside…
At Globe Life, we are committed to empowering our employees with the support and opportunities they need to succeed at every stage of their career. We take pride in fostering a caring and innovative culture that…
AWS Backend Lead Location: Remote / Hybrid Experience Level: Lead (10+ years) Summary Backend Lead responsible for designing and building cloud-native, event-driven data and analytics services on AWS, with a focus on…
Design, build, and maintain robust data pipelines that are scalable, efficient, and meet business needs Collaborate with cross-functional teams to understand and translate business requirements into data solutions…
Own end-to-end data and systems architecture for a Melbourne fintech, defining canonical data models, integration patterns, and AI agent access layers using Redshift, AWS, Terraform, and PostgreSQL.
Senior Data Platform Engineer designing and overseeing data pipelines in Databricks on AWS, transforming raw data into analytics-ready datasets while contributing to governance and scalable lakehouse design in a hybrid Sydney office.
Senior DataOps/Cloud Data Engineer for a large public-sector data modernization initiative, designing and building cloud-based data pipelines and lakehouse solutions using Azure Data Factory, Databricks, Informatica, Python, and SQL.
Design and operate Microsoft Fabric workspaces, Lakehouse architecture, and CI/CD pipelines to deliver trusted dimensional models and Power BI semantic models for auto and property insurance data. Core technologies: Microsoft Fabric, Azure DevOps, SQL, PySpark, Delta Lake, and Power BI.
The Fabric Data Engineer will design and maintain Microsoft Fabric workspace architectures and optimize data pipelines to support insurance analytics. The role involves implementing data governance and quality controls using SQL, PySpark, and Python in a hybrid work environment.
The Senior Data Engineer will design and build a new data platform from scratch, focusing on scalable pipelines, ETL processes, and Power BI reporting. The role involves working with SQL Server, .NET scripting, and modern cloud data tools in a hybrid environment.
The Senior Data Engineer will design and build scalable data models and pipelines within a Snowflake and dbt-based architecture to support T&G Global's digital transformation. This role involves collaborating with stakeholders to modernize data platforms and integrate SAP S/4HANA data for enterprise-wide analytics.
Design, build, and maintain the full analytics delivery stack—from data transformation and modeling to Power BI dashboards—using dbt, SQL, and Databricks for a Philippine universal bank.
The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes while collaborating with cross-functional teams to support analytics. The role requires proficiency in SQL, Python/Java/Scala, and data processing frameworks like Spark or Airflow.
Position Overview Data Engineer - Full-Time, Onsite, Metro Manila, Philippines Job Description We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and ETL/ELT processes.…
The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence. The role requires proficiency in SQL, Python/Java/Scala, and data processing frameworks like Spark or Airflow.
The Senior Data Engineer will design, build, and maintain enterprise data pipelines and data warehouse solutions using SQL Server and SSIS. This role focuses on transforming raw data into actionable insights while ensuring data quality, security, and performance across the organization.
The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines within a Databricks Lakehouse environment to support BI and AI initiatives. This hybrid role requires expertise in Python, SQL, and Azure cloud services, emphasizing software engineering best practices like CI/CD and Infrastructure as Code.
Senior Data Engineer designing and deploying ELT pipelines on Snowflake using dbt, Python, and Terraform for a financial services firm's data platform.
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