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Lead AI Software Engineer at RBC's Global Functions Technology team, designing and building cloud-based applications and AI agentic solutions for US Regulatory Reporting using Java, Python, Spark, LLM frameworks (LangChain, LlamaIndex, MCP), and big data platforms like Snowflake and Databricks.
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.
Design, automate, secure, and support cloud-based data platforms on Microsoft Azure and Databricks. Build scalable infrastructure, implement CI/CD pipelines, manage platform reliability, and enable data engineering teams. Core technologies: Azure Cloud Services, Azure DevOps/GitHub Actions, Terraform, Databricks Workspace Administration, Unity Catalog, CI/CD automation, security controls, monitori
Lead end-to-end data engineering projects for a media business, designing scalable data lakes, customer data platforms, and AI-powered analytics solutions using SQL, Apache Spark, and Python or Scala.
Senior DevOps Engineer responsible for platform engineering, deployment and reliability of containerized Manufacturing Execution System (MES), Data Platform applications, and Cloud architecture. Works with Kubernetes/AWS EKS, CI/CD pipelines, infrastructure-as-code, and observability tools across global sites.
BI/Data Specialist joining client-facing project teams, building ETL pipelines on Data Lake and reporting solutions using Azure Data Factory, Azure Databricks, and Power BI.
Develop physics-based, data-driven, and hybrid models for steel production processes at Danieli, a global steel plant builder. Day-to-day involves data management, statistical analysis, visualization, and Digital Twin initiatives using Python, SQL, and big data technologies.
Data Engineer building and evolving Credem's cloud data infrastructure, migrating legacy systems to a modern Google BigQuery data lake. Day-to-day involves end-to-end data architecture, Python and SQL pipeline development, and collaborating with Salesforce and marketing teams.
Design and build AWS-based data architectures—S3 data lakes, Glue ETL pipelines, Redshift/Snowflake/Databricks warehouses, and RAG-powered AI systems—across diverse client engagements, with mentoring and architecture presentation responsibilities.
Design, implement, and optimize scalable data solutions on Microsoft Azure and Fabric—including pipelines, data lakes, warehouses, ADX/KQL, and BI dashboards—for an aviation-sector product company.
Senior Azure Data Engineer designing, implementing, and optimizing scalable data solutions on Azure and Microsoft Fabric for an aeronautical software company, working with ADF, Databricks, Synapse, ADX/KQL, Spark, and Power BI.
Data Engineer working on large-scale projects using Databricks, PySpark, Spark, and Cloud technologies to build and evolve data platforms, process large volumes of information, and develop data pipelines and Data Lake/Lakehouse architectures.
Senior Data Engineer / Databricks Technical Architect designing and developing batch and streaming data pipelines on Databricks and Azure, building Lakehouse architectures with Delta Lake and the Medallion pattern.
The Data Engineer/Technical Architect will design and develop batch and streaming data pipelines using Databricks and Azure. The role focuses on building Lakehouse architectures, optimizing distributed workloads, and implementing data governance standards.
AXPE Consulting is hiring Data Engineers to build and maintain large-scale data platforms, ETL pipelines, and Lakehouse architectures using Databricks, PySpark, and cloud technologies. This is a remote role focused on delivering data solutions for large organizations and financial entities.
The BI Developer will design and implement scalable data platforms, develop ETL/ELT processes, and create data models to support business decision-making. The role requires expertise in SQL, Python, PostgreSQL, and data orchestration tools like Airflow.
Data Engineer at Bluetab (IBM Company) developing and optimizing large-scale data pipelines using Scala/Python/PySpark on Spark and Databricks, primarily on Azure, with data lake and warehouse design.
Data Engineer at Indra Group designing, developing, and maintaining ETL/ELT pipelines for a European cyberdefense project, working with SQL, Python, orchestration tools like Airflow/NiFi/Prefect, and relational/NoSQL databases.
Backend Senior Developer for GBO Tier1, developing and evolving financial solutions (treasury, derivatives, accounting) using PL/SQL and Agile. Collaborates with international teams on projects including Data Lake migration.
The Backend Developer will work on financial and accounting processes using PL/SQL and Java/Spring Boot within a hybrid environment. The role involves migrating data to a Data Lake, managing treasury and derivatives applications, and ensuring system integration and stability.
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