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Senior Data Engineer at Tiger Brands (Africa's largest listed FMCG manufacturer) who designs, builds, and maintains ETL/ELT pipelines and data models using SQL Server, SSIS, SSAS, and Power BI, with CI/CD automation via Azure DevOps, supporting reporting, forecasting, supply chain visibility, and commercial insights.
DevOps engineer at Placements24 in Tembisa, South Africa, who designs and maintains CI/CD pipelines, automates infrastructure provisioning, and collaborates across development and operations to keep systems reliable and secure. Core technologies include Terraform, Ansible, and infrastructure as code.
Full Stack Developer at FleetGuru (AutoGuru) on the Gold Coast, building features end-to-end: React/TypeScript micro-frontends on the front end, C#/.NET, GraphQL and AWS serverless on the back, with AI coding assistants like Claude Code used daily to draft code, tests and docs under critical human review.
The Role Position Overview The Customer Operations Lead is responsible for driving operational excellence across the global customer support function. This role provides strategic leadership in customer service…
Lead the Core AI Platform at Payoneer, defining reusable AI capabilities (LLMs, agents, RAG, governance) to accelerate product development and workflow automation across the company.
A Junior ISSO supporting a multi-year cybersecurity program for a large US federal agency: developing and maintaining System Security Plans, driving RMF/ATO activities per NIST SP 800-37 and 800-53, and acting as the day-to-day security contact for developers and project managers. Fully remote (continental US), with a lead/senior ISSO providing guidance.
Role Summary The Senior Advisor Digital Strategy, Individual Dental serves as a key strategic partner responsible for advancing the digital strategy, capability roadmaps, and cross-functional execution needed to…
Senior Ruby on Rails engineer joining a small team of senior/staff engineers building an AI-powered skills-training platform. Day to day: full-stack delivery across Ruby, Python and TypeScript/React, plus Kubernetes, CI/CD, PostgreSQL optimization and LLM/vector-database integrations, with some client-facing work and occasional travel.
RBC is hiring a Senior/Staff Data & AI Platform Engineer in Vancouver to build scalable data pipelines, feature stores, and governance patterns for commercial credit decisioning and risk modeling. The role owns production ML systems end to end, drives DataOps/MLOps automation, and mentors teammates.
A senior data engineer role at Appnovation focused on preparing enterprise domain data for AI agents: building data agents over governed datasets in Databricks and Snowflake, running lakehouse migrations (e.g., Apache Iceberg), and onboarding new data domains with strong governance and data quality. Core stack includes SQL, PySpark, dbt, Airflow, and catalogue/governance tooling.
Senior Data Engineer on CI Financial's Data, AI & Analytics team, designing and operating scalable ELT/ETL data pipelines, reusable ingestion frameworks, and CI/CD workflows for the data platform. Core stack includes Snowflake, dbt, SQL, and Git-based tooling (Bitbucket, Jenkins), onsite four days a week in Toronto.
Senior Data Engineer at Citi building and maintaining scalable Python-based data pipelines, SQL/ETL-ELT solutions, and data models that power enterprise analytics and BI. Works with relational and NoSQL databases (PostgreSQL/Oracle/MongoDB) and big-data tools like PySpark, Databricks, and Airflow in a regulated financial services environment.
Senior Data Engineer at Citibank in Mississauga building Python-based data pipelines, ETL/ELT frameworks, and data models that power enterprise analytics and BI. Core stack includes Python, SQL (PostgreSQL, Oracle, SQL Server), MongoDB, and PySpark, with Airflow, Databricks/Starburst, and CI/CD tooling.
Data Engineer 2 at JLL in Toronto designs and builds production ETL/ELT data pipelines, CI/CD workflows, and enterprise data solutions for commercial real estate, using Python, SQL, orchestration tools (Airflow, Azure Data Factory), Spark/PySpark, and cloud data services on Azure/AWS/GCP, with AI and automation integrated into the workflows.
Senior Data Engineer on RBC Wealth Management's Technology Data team in Toronto, developing, testing, and deploying data/software architectures and automation to power advanced analytics and ML solutions. Day-to-day involves SQL, Python/Java/TypeScript automation scripts, GenAI-assisted code and testing, and Agile/DevOps practices with tools like JIRA and GitHub.
Data engineer at BMO's Data & AI Technology team building data and AI products that support the bank's digital, risk, and compliance needs. Day to day: designing, developing, and testing ETL/ELT pipelines and data warehouse solutions with SQL, Python, Spark/PySpark, and cloud services (AWS/Azure), plus production support and root-cause analysis. Hybrid role in Toronto (min 2 days/week in office).
DevOps Engineer at Bold Commerce (an ecommerce technology company) building and maintaining CI/CD pipelines, cloud infrastructure, Infrastructure as Code, and developer tooling to support its merchant-facing products. Core stack includes GCP (preferred)/AWS/Azure, Terraform, Docker/Kubernetes, GitOps tools, and scripting in Bash, Python, Go, or JavaScript.
DevOps Engineer at Bold Commerce who builds, automates, and supports the infrastructure behind the company's products, working with the engineering team on CI/CD pipelines, cloud infrastructure, deployment processes, and developer tooling. Offers remote-Canada options and flexible hours.
A full-time, hybrid (4 days/week in Toronto) DevOps Support role focused on supporting application deployments, CI/CD pipelines, and cloud infrastructure. Day-to-day work involves monitoring, incident troubleshooting and root cause analysis, automation, and cloud VM support across AWS, Azure, OpenStack, Cloudify, and other clouds.
Leads the DevOps/QE automation teams at RBC Insurance Technology in Mississauga, building and maintaining Quality Engineering practices, managing test teams, resources, and vendors, and embedding AI-driven SDLC and CI/CD pipeline automation into testing and delivery.
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