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Data & AI Engineer at RWE Offshore Wind designing and scaling backend services, databases, APIs, and cloud-native solutions to support engineering and renewable energy operations. Core stack: Python, REST APIs, SQL/NoSQL, Azure, Docker, Kubernetes, Databricks, and LLM-based AI applications.
Onehouse is hiring a Senior Software Engineer to build and optimize distributed data systems for their managed Apache Hudi-based data lakehouse platform. The role involves designing transactional engines, indexing schemes, and performance optimizations for large-scale data processing.
The Software Engineer will build and optimize distributed data infrastructure for the Apache Hudi-based data lakehouse platform. This role involves designing transactional engines, indexing schemes, and metadata systems to improve performance and scalability for large-scale data processing.
Data Engineer designing and building modern data solutions within the Microsoft Fabric and Azure ecosystem, collaborating with technical and business stakeholders to translate needs into concrete solutions.
Data & Analytics Engineer designing BI solutions, ETL processes, and data models using Power BI, SQL, and the Microsoft/Azure data ecosystem.
About Our Client Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an…
Design and govern HR data models and lead migration of the HR Warehouse to an enterprise Lakehouse (Azure Databricks, Delta Lake), partnering with data engineering and HR stakeholders to establish trusted, well-structured HR data for reporting and analytics.
Product Manager - Data Manager About PortX PortX is leading the way for financial institutions, banks and fintechs to modernize, integrate and understand their apps and data. Our platform provides an integration…
Design and implement data fabric architecture across heterogeneous data sources and platforms Develop scalable ETL/ELT pipelines for batch and real-time data integration Integrate structured and unstructured data from…
Semi-senior Data Engineer in Taligent's Center of Excellence designing, building, and maintaining ETL/ELT pipelines on cloud (AWS/Azure/GCP) with Python and SQL, integrating heterogeneous sources and modeling data for analytics and AI use cases.
Senior frontend engineer building web applications and data products for a surgical robotics company, integrating with Databricks Lakehouse, APIs, and internal data services in a cross-functional, autonomous team.
Data Engineer designing and building scalable Snowflake-based batch and real-time data pipelines and dbt data models for a media & entertainment company in a hybrid role in Milton Keynes.
Data Engineer designing and building modern cloud data platforms on Microsoft Azure and Fabric, developing ELT pipelines, lakehouse solutions, and data models for enterprise consulting clients.
Design, build, and maintain scalable ETL/ELT pipelines and data models on Google Cloud Platform using Python, SQL, BigQuery, and Airflow, while ensuring data governance and collaborating with stakeholders.
Lead AI/ML Engineer at RBC Insurance leading a team of ML engineers, designing and deploying scalable machine learning models and MLOps pipelines using Python, cloud platforms (AWS/GCP/Azure), Docker, and Kubernetes.
Senior Data Architect defining technology architecture standards for data governance, classification, and data quality across structured, unstructured, and geospatial data, using Microsoft Purview and Databricks Unity Catalog for an energy & resources client.
Senior DataOps/Cloud Data Engineer based on-site in Toronto, designing and optimizing Azure Data Factory and Databricks pipelines, migrating Informatica ETL to Azure ELT using Medallion Architecture, and connecting on-premises data sources for a government Community Services Cluster project.
Build and optimize cloud-based data solutions, migrating data from legacy EHR systems into a centralized lakehouse to enable clinical analytics and AI, using Azure Data Factory, Databricks, Informatica, SQL, and Python.
Lead the data engineering team and define the end-to-end data platform (lakehouse with medallion pattern) at Xplore, a Canadian rural broadband provider. Unify siloed data from on-prem network/OSS/BSS systems, Salesforce, and other sources while implementing governance, lineage, and compliance controls using Spark, Python/Scala, and SQL.
Staff DevOps Engineer owning core infrastructure (Kubernetes, CI/CD, IaC, observability) that powers AI/ML systems for heavy industries, working across cloud and on-prem/edge environments.
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