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Product Owner leading a Claims Data Science agile squad at Allianz, delivering machine learning and data products to improve claims processes and customer outcomes using agile methodologies, analytics, and AI/ML.
Design and build AI-powered features for a cloud-native test automation platform, leveraging LLMs and GCP to analyze test and production data, generate insights, and automate failure analysis.
Senior Marketing Data Analyst at AfterShip in Vancouver, analyzing marketing performance, optimizing customer acquisition and retention, and building data infrastructure for a post-purchase eCommerce SaaS platform.
Build and maintain executive dashboards in Power BI, translate marketing data into clear insights, and advise stakeholders on campaign performance and ROI.
Senior Data Architect designing and building data platforms, data warehouses, and BI applications for clients, using technologies like Snowflake, Databricks, dbt, Fabric, and SQL/Python, while leading teams and advising on data strategy.
Builds and maintains scalable data pipelines, semantic layers, and BI models to enable business intelligence, advanced analytics, and AI for a logistics airline subsidiary.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and AWS data platform services, including AWS Glue, Redshift, and Apache Airflow. This role involves collaborating with cross-functional teams to deliver reliable data solutions and business-facing models using Python, SQL, and dbt.
Builds and maintains AI-ready data pipelines in Snowflake, bridging raw data ingestion to AI feature outputs. Collaborates with data science and product teams to ensure data systems enable AI capabilities across the organization.
Data Engineer & BI role ensuring business operation visibility through reliable, timely data delivery using Python, SQL, Power BI, and SQL Server data warehousing in a food manufacturing setting.
Vecten is hiring a Senior Data Engineer to rebuild and manage a data platform for a US sports insurance client, focusing on Azure, Snowflake, and modern orchestration. The role involves migrating legacy ETL pipelines, productionizing ML scoring, and applying DevOps practices in an AI-native engineering environment.
Description JOB SUMMARY The Commercial FP&A will play a critical role in driving profitability and decision-making across the company’s RVM equipment sales, leasing and service businesses. This role is responsible…
Thinking Machines is seeking an Engineering Consultant to build and maintain data pipelines, ETL systems, and analytics platforms for clients. The role involves using Python, SQL, Airflow, and various cloud technologies to support data science initiatives while providing technical leadership and consultative guidance.
The Senior Data Engineer will design and optimize cloud-native data pipelines on Azure using Databricks and Spark. The role involves leading end-to-end data warehousing, modeling, and governance initiatives while mentoring teams in a hybrid work environment.
Builds and maintains Power BI dashboards, optimizes data pipelines, and integrates enterprise systems to deliver actionable business insights for Douglas’ manufacturing, operations, and corporate teams.
The Data Engineer/Data Warehouse Specialist will develop ETL solutions, maintain test environments, and ensure high data quality for Handelsbanken. The role involves optimizing system performance, performing code reviews, and troubleshooting production issues.
The Senior SAP Data Engineer will architect and manage core data platforms using SAP Datasphere, SAP HANA Cloud, and SAP Business Data Cloud. This role involves designing robust data models, optimizing performance, and collaborating with cross-functional teams to deliver analytics solutions for asset-intensive industries.
The Software Engineer in Test (Data) will build and maintain automated testing frameworks for data pipelines and lending logic using SQL, Python, Java, or JavaScript. The role involves collaborating with product and engineering teams to ensure data quality and system reliability within BigQuery and Redshift environments.
A data engineering intern builds and maintains pipelines, assists with ETL, and optimizes data infrastructure using Python and SQL.
Intern building data pipelines, APIs, and services using BigQuery, DBT, Airflow, and GCP-based DevOps tooling at a fintech company.
This role involves developing, managing, and maintaining the bank's Enterprise Data Warehouse and ETL solutions. The engineer will work in an agile team to ensure high data quality and system stability while collaborating across the organization.
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