ShyftLabs Tech Stack

AI-driven data platform for real-time enterprise decision-making

Business Consulting and Services Toronto, Ontario 201–500 employees Founded 2018 Privately Held

ShyftLabs operates as a data engineering and AI consulting firm serving enterprise clients, with a stack anchored in Oracle legacy systems (Siebel, Database, SOA Suite, Data Integrator) alongside modern Google Cloud infrastructure (BigQuery, Dataflow, Pub/Sub). The hiring acceleration across senior engineers and data roles, paired with active work on ML pipelines, model observability, and LLM-powered system design, signals a shift from traditional ETL consulting toward AI-first decision platforms—addressing their stated pain points around high-volume ingestion, cost efficiency, and operationalizing research prototypes.

Tech Stack 200 technologies

Core StackOracle Database PL/SQL JavaScript Docker Kubernetes Jira Confluence Salesforce APEX Playwright TypeScript Siebel UNIX Shell SOAP XML Oracle SOA Suite Oracle Service Bus Oracle Data Integrator Oracle Fusion Middleware Apigee Pub/Sub Google Cloud Functions Dataflow Salesforce Service Cloud Salesforce Field Service Cloud Visualforce Lightning Web Components SOQL Cucumber Appium+170 more

What ShyftLabs Is Building

◆Challenges

High-volume data ingestion
Performance and cost efficiency
Data governance and lineage
Operationalizing research prototypes

▲Active Projects

Scalable etl/elt pipelines
Google bigquery data warehouse
Automated data quality checks
Ml pipeline development
Model observability system
Llm-powered system design
Workday integration development for hcm, benefits, payroll, recruiting
Proof-of-concept integration demos and post-deployment support

Hiring Activity

Accelerating6 roles · 3 in 30d

Department

Engineering

Data

Seniority

Senior

Manager

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About ShyftLabs

ShyftLabs is a Toronto-based data and AI consulting firm founded in 2018, serving enterprise clients who need to transform real-time data into operational decisions. The company operates across two core practice areas: data engineering (ETL/ELT pipelines, BigQuery data warehouses, automated data quality) and AI/ML systems (model pipelines, observability, LLM-powered design). Current project work includes Workday HCM integrations, proof-of-concept deployments, and post-go-live support. The organization is 201–500 employees with engineering and data teams based in Canada and India.

HeadquartersToronto, Ontario

Company Size201–500 employees

Founded2018

Hiring MarketsIndia, Canada

Frequently Asked Questions

What tech stack does ShyftLabs use?

Oracle Database, Siebel, Oracle Data Integrator, and Oracle Fusion Middleware (legacy systems); Google Cloud (BigQuery, Dataflow, Pub/Sub, Cloud Functions); Salesforce (Service Cloud, Field Service, APEX); Kubernetes and Docker for orchestration; Jira and Confluence for collaboration.

What is ShyftLabs working on?

Scalable ETL/ELT pipelines, BigQuery data warehouses, automated data quality systems, ML pipeline development, model observability, LLM-powered system design, and Workday HCM integrations with post-deployment support.

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How this profile is built

ShyftLabs's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.