[Applicants: Over 200 applicants | Industry: Advertising Services | Type: Full-time | Level: Associate] Position SummaryThe Data Analyst role will be part of the Audience Strategy team. This role will focus on building…
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[Applicants: Over 200 applicants | Industry: Advertising Services | Type: Full-time | Level: Associate] Position SummaryThe Data Analyst role will be part of the Audience Strategy team. This role will focus on building audience segments and conducti
As a Software Engineer, you will design, build, deploy, and operate production systems that power IREN’s AI services and platform infrastructure. Platform & Cloud-Native Deployment Deploy and operate services on…
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As a Software Engineer, you will design, build, deploy, and operate production systems that power IREN’s AI services and platform infrastructure. Platform & Cloud-Native Deployment Deploy and operate services on Kubernetes using modern cloud-native practices.
As a Senior Data Engineer, you’ll build and optimize resilient data pipelines that turn operational data into dependable insights. Knowledge of data modelling, data quality and reliability best practices.
12 month contract + possible extensions Hybrid 3x per week in Toronto Pay: $50/hr T4 $56/hr incorp Required Skills & Experience 3–5 years of experience in a data analyst or similar analytical role Strong SQL and SAS…
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12 month contract + possible extensions Hybrid 3x per week in Toronto Pay: $50/hr T4 $56/hr incorp Required Skills & Experience 3–5 years of experience in a data analyst or similar analytical role Strong SQL and SAS coding skills - *SAS REQUIRED* Hands‑on Power BI development experience (data modeling, report building) Ability to build decks and presentations in PowerPoint Experience creating and maintaining Power BI reports Experience in financial services - banking strongly preferred Nice to Have Skills & Experience Ability to craft a narrative or storytelling around data outputs Strong presentation skills (nice to have, not required) Job Description The Data Analyst will support quarterly initiatives within the Channel Analytics team, working closely with partners across P&BB. Show less [{"type":"people_also_viewed","href":"https://ca..com/jobs/view/business-data-analyst-at-insight-global-4372040474","jobId":"4372040474","label":"Business Data Analyst"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/data-analyst-at-ci-financial-4343909189","jobId":"4343909189","label":"Data Analyst"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/data-business-analyst-canada-at-saransh-inc-4368408705","jobId":"4368408705","label":"Data Business Analyst - Canada"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/junior-analyst-at-canadian-tire-corporation-4369269344","jobId":"4369269344","label":"Junior Analyst"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/analyst-health-data-at-ontario-hiv-treatment-network-4371510856","jobId":"4371510856","label":"Analyst Health Data"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/data-analyst-junior-etl-developer-project-reach-temporary-full-time-2026-16188-2026-16188-at-sunnybrook-4366944055","jobId":"4366944055","label":"Data A...
You will join a data engineering team that owns and manages customer data pipelines, consolidating data from multiple sources to support a variety of business and analytics use cases. Key Responsibilities Design, build,…
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You will join a data engineering team that owns and manages customer data pipelines, consolidating data from multiple sources to support a variety of business and analytics use cases. Key Responsibilities Design, build, modernize, and maintain data pipelines using Azure, Databricks, Snowflake, and GCP Own customer data pipelines that ingest, transform, and consolidate data from multiple sources Create and publish secure Snowflake views for enterprise data sharing Migrate existing pipelines to Delta Live Tables (DLT) and implement Unity Catalog Deploy and manage pipelines using established CI/CD frameworks Ensure compliance with PII masking and encryption requirements Develop data solutions using SQL and Python (PySpark) Orchestrate workflows using Azure Data Factory, Airflow, and Fivetran Support streaming data workloads (Kafka, EventHub, Spark Streaming) Participate in DevOps activities, including: Improving CI/CD pipelines Monitoring production systems Troubleshooting and resolving failures Participating in on‑call rotations as needed Collaborate with global engineering teams in an Agile, DevOps, and SRE‑aligned environment Act as a role model for engineering excellence and support skill development across the team Required Skills & Experience 5+ years of experience in data or database engineering, building and deploying data pipelines (customer data experience strongly preferred) Strong hands‑on experience with Azure, including deployments, configurations, and Storage Accounts Proven experience with: Azure Data Factory Azure Databricks Snowflake DBT / Delta Live Tables (DLT) Medallion Architecture Strong Python skills, particularly PySpark, for building and optimizi...
**This role requires up to 70–80% travel across the assigned territory, including clinic visits, trade shows, and industry events.** Company Description iFinance Canada is a national leader in consumer financing,…
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**This role requires up to 70–80% travel across the assigned territory, including clinic visits, trade shows, and industry events.** Company Description iFinance Canada is a national leader in consumer financing, proudly serving Canadians since 1996. One of our flagship programs, Medicard, is Canada’s leading patient financing solution.
Learn about ICS and SCADA systems, and how cybersecurity standards apply to critical infrastructure. Participate in research, technical writing, and presentations on cybersecurity topics.
The position combines technical leadership, solution architecture ownership, people management, and customer success accountability, overseeing multidisciplinary teams while remaining directly involved in identifying…
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The position combines technical leadership, solution architecture ownership, people management, and customer success accountability, overseeing multidisciplinary teams while remaining directly involved in identifying customer opportunities and architecting end-to-end technical solutions. Our Success Criteria Lead and manage a multidisciplinary organization including applications engineers, technicians, project managers, and customer success professionals Own customer-facing technical delivery and customer success outcomes across multiple commercial deployments Translate customer business and operational requirements into deployable physical AI and automation solutions Oversee end-to-end customer phases including technical discovery, solution definition, deployment planning, commissioning support, and post-deployment optimization Ensure customer-facing systems meet operational, safety, reliability, and performance requirements Partner with Product, Engineering, and Commercial teams to align customer needs with product capabilities and deployment readiness Establish documentation standards, validation processes, and customer acceptance frameworks to support repeatable deployments Act as the senior escalation point for complex customer-facing technical, delivery, and performance issues Manage priorities, resources, and execution across multiple concurrent customer programs Represent the Applications and Customer Success organization in internal leadership discussions and external customer engagements Your Experience Qualifications: Minimum 8 years of professional experience in customer-facing technical roles such as applications engineering, solutions engineering, or technical product ma...
Data Engineering & Infrastructure Data Acquisition: Develop scalable web scrapers and data collection pipelines using Scrapy and BeautifulSoup. LLM Orchestration: Proven ...
Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring. KEY…
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Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring. KEY TERMS Artificial Intelligence Generative AI GenAI Machine Learning ML Engineer Engineering Deployment Production Real Time Enterprise Statistics Mathematics Financial Services Banking Python Recommendation Engine Recommende...
Build and operate production-grade REST APIs to serve AI and agent capabilities. Develop and maintain scalable data pipelines and background workers that support AI workloads and agent execution.
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Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
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What are the highest-paying tech roles right now?
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Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
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Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
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Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
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