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Designs and maintains a scalable, secure cloud-based data platform for DWS Group’s fintech operations, focusing on Snowflake and automation tools to enable data ingestion, transformation, and distribution while ensuring compliance and reliability.
Build and maintain scalable data pipelines for customer identity resolution in a large e-commerce platform using BigQuery, Python, and Airflow.
Senior Data Engineer building real-time and batch data pipelines for a programmatic advertising platform, using Python, SQL, Kafka, and cloud data warehouses (BigQuery/ClickHouse) on AWS/GCP.
Data Engineer designing and developing ETL/ELT pipelines and evolving a modern data platform using Snowflake, Airflow, dbt, Azure, and Python in a hybrid role based in Badalona.
Senior Data Engineer owning end-to-end data pipelines and customer identity matching in a complex analytics environment, building scalable workflows with BigQuery, Python, Airflow, and GCP.
Build and own a distributed workflow engine and visual editor for scientists to run complex simulations without HPC expertise, shaping a deep-tech platform from the ground up.
Design and maintain robust data pipelines for clients, ensuring data quality and security, while also contributing internally to knowledge sharing and code templates. Core technologies include Big Data tools, SQL/NoSQL databases, Python/Java/Scala, and cloud platforms.
The Senior Data Engineer will design and implement complex data pipelines using Snowflake, Airflow, and Azure to support analytics and AI/ML initiatives. This hybrid role involves collaborating with cross-functional teams to ensure data quality and scalable reporting solutions.
The Senior Data Engineer will develop and maintain complex data pipelines and transformation routines using Snowflake, Python, and Airflow to support healthcare analytics and payment integrity solutions. The role involves creating data models, implementing CI/CD automation, and ensuring data quality within a hybrid work environment.
Senior Backend Engineer building a greenfield fintech platform using Python, AWS, and Airflow to design scalable backend services and data workflows.
The Analytics Engineer will design and maintain data transformation layers and dimensional models to support BI reporting. The role involves collaborating with stakeholders to define requirements and building reliable analytics infrastructure using SQL, dbt, and modern data warehouse technologies.
Data Engineer (Mid-level) Location: Remote (Quebec/Canada) About Irth Solutions Irth Solutions is a leading provider of cloud-based SaaS software for damage prevention, asset integrity, stakeholder engagement and land…
The Data Engineer will design and automate data pipelines, manage data warehouses, and build analytical models to support business intelligence. The role involves working with technologies like Postgres, Apache Airflow, Spark, and SQL to transform data into actionable insights.
Data and DevOps Engineer on a 12-month contract building and maintaining BI solutions, automating data flows, and creating reports/visualizations using SQL, ETL, Apache Airflow, Spark, and Linux.
The Senior Data Engineer will design and maintain scalable data lakehouse architectures and ETL/ELT pipelines to support data-driven decision-making at the Housing & Development Board. The role involves cloud platform operations, infrastructure as code, and integrating AI/ML capabilities using technologies like Python, SQL, Spark, and AWS.
Max Capital is seeking a Data Engineer to build and scale data architectures, manage data pipelines, and integrate data sources with AI models. The role involves working with Python, SQL, and various Big Data technologies to support financial strategy and operations.
Designs and maintains scalable data pipelines and platforms to enable analytics, AI, and generative AI solutions for a logistics company, covering ingestion, transformation, governance, and cloud deployment.
The Technical Product Manager will lead the product vision and roadmap for Betclic's Data Platform Engineering and Data Core teams. This role involves managing data infrastructure, CI/CD pipelines, and engineering standards while acting as a bridge between technical teams and strategic business initiatives.
Data Engineer designing and maintaining scalable data pipelines, data warehouses, and cloud-based data platforms using SQL, Oracle PL/SQL, Python, and AWS services to support analytics and business decision-making.
Design, build and maintain data pipelines and reusable datasets on a Snowflake-centric data platform supporting analytics, reporting, governance and AI use cases. Core technologies: Snowflake, SQL, Python, Azure Data Factory.
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