Switzerland offers some of the highest tech salaries in Europe, concentrated in Zurich, Geneva, and Basel. The market favours senior engineering, fintech, pharmatech, and multilingual professionals.
WELL, uses this platform to power healthcare practitioners both inside and outside of WELL’s own omni-channel patient services offerings. WELL, is publicly traded on the Toronto Stock Exchange under the symbol "WELL".
Design secure, scalable data and AI solutions to deliver measurable business value. Skill & Experience 15+ years in Data/AI/ML Engineering or 15+ years with Master's Deep experience in Azure Data & AI stack + working…
Read full description
Design secure, scalable data and AI solutions to deliver measurable business value. Skill & Experience 15+ years in Data/AI/ML Engineering or 15+ years with Master's Deep experience in Azure Data & AI stack + working knowledge of GCP & AWS Hands-on with: ML projects (supervised/unsupervised, forecasting, NLP, deep learning) ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn LangChain, LangGraph, Agentic AI systems LLMs, embeddings, vector databases, RAG/GraphRAG CI/CD, MLOps/LLMOps, SDLC Explainable AI (XAI) Strong exposure to Synapse, Fabric, Data Factory, Databricks, Power BI Proven experience contributing to RFP/RFI responses and client solutioning Show less [{"type":"similar_search","href":"https://www..com/jobs/data-architect-jobs","label":"Empleos de Arquitecto de datos"},{"type":"similar_search","href":"https://www..com/jobs/quality-assurance-engineer-jobs","label":"Empleos de Ingeniero de aseguramiento de la calidad"},{"type":"similar_search","href":"https://www..com/jobs/architect-jobs","label":"Empleos de Arquitecto"},{"type":"similar_search","hr...
Key Responsibilities Data Architecture Design: · Develop and maintain enterprise data architecture, including data models, pipelines, and storage solutions. Solution Development: · Design and implement data solutions…
Read full description
Key Responsibilities Data Architecture Design: · Develop and maintain enterprise data architecture, including data models, pipelines, and storage solutions. Solution Development: · Design and implement data solutions using modern technologies (cloud, big data, ETL tools).
Develop data models and integration patterns across structured and unstructured data. Establish data architecture governance to ensure consistent delivery and compliance.
Key Responsibilities Cooperate on design and implementation of high-performance, scalable data solutions, including data lakes and streaming systems that handle massive global logistics traffic. Essential Skills &…
Read full description
Key Responsibilities Cooperate on design and implementation of high-performance, scalable data solutions, including data lakes and streaming systems that handle massive global logistics traffic. Essential Skills & Experience Cloud Data Expertise: Proven first experience (2 years) with data warehouses and lakes within a cloud ecosystem (Glue, Lambda, Step Functions).
Data Architect – AI/ML (AWS ML Data Modeling FinTech) Location: Noida Work Mode: 5 days Work from Office Experience: 10–15 years Employment Type: Full-time Role Purpose Our Fintech client is looking for a senior…
Read full description
Data Architect – AI/ML (AWS ML Data Modeling FinTech) Location: Noida Work Mode: 5 days Work from Office Experience: 10–15 years Employment Type: Full-time Role Purpose Our Fintech client is looking for a senior Data Architect – AI/ML who can design and build ML-ready data architectures on AWS. You will work closely with Data Scientists, ML Engineers, Product, and Engineering teams to translate business problems into production-grade ML data platforms.
Certifications: Microsoft Azure certifications such as Azure Data Engineer, Azure Solutions Architect, Databricks or similar are highly desirable. Show less…
Read full description
Certifications: Microsoft Azure certifications such as Azure Data Engineer, Azure Solutions Architect, Databricks or similar are highly desirable. Show less [{"type":"people_also_viewed","href":"https://in..com/jobs/view/data-architect-at-narwal-4371833269","jobId":"4371833269","label":"Data Architect"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/gcp-data-architect-at-tech-mahindra-4360562334","jobId":"4360562334","label":"GCP Data Architect"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/senior-data-engineer-at-microsoft-4369484537","jobId":"4369484537","label":"Senior Data Engineer"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/data-architect-azure-cloud-at-vidpro-tech-hr-solutions-private-limited-4370006435","jobId":"4370006435","label":"Data Architect (Azure Cloud)"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/enterprise-architect-data-ai-at-accellor-4363856527","jobId":"4363856527","label":"Enterprise Architect (Data & AI)"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/senior-data-engineer-at-experian-4367395915","jobId":"4367395915","label":"Senior Data Engineer"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/associate-vice-president-senior-lead-data-engineer-t500-23367-at-deutsche-b%C3%B6rse-4372250672","jobId":"4372250672","label":"Associate Vice President - Senior Lead Data Engineer [T500-23367]"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/data-architect-at-everestdx-inc-4359159504","jobId":"4359159504","label":"Data Architect"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/associate-vice-president-senior-lead-data-engineer-t500-23362-at-deutsche-b%C3%B6rse-4372246816","jobId":"4372246816","label":"Associate Vice Pre...
Data Governance, Risk & Compliance Ensure adherence to enterprise data governance, privacy, security, and acceptable data use policies. Drive alignment to canonical data models and master data standards.
You'll work collaboratively with stakeholders across the organization to understand requirements and deliver scalable, efficient data solutions. Key Responsibilities Design and implement data storage solutions including…
Read full description
You'll work collaboratively with stakeholders across the organization to understand requirements and deliver scalable, efficient data solutions. Key Responsibilities Design and implement data storage solutions including data lakes and data warehouses Develop and maintain robust data pipelines to extract, transform, and load data from various source systems Create and manage data models to support analytical and operational requirements Optimize data storage and processing for performance, cost, and reliability Collaborate with business stakeholders to understand requirements and provide efficient solutions Integrate data from multiple sources, including APIs, databases, and external data providers Ensure data quality and integrity through validation and transformation processes Document data engineering processes, systems, and standards Monitor and optimize the performance of data systems and pipelines Promote best practices for data management and engineering Partner with Product Owners and Engineering Leads to build target architectures and improve business processes About The Team The role is assigned to the Data Engineering & Analytics Product Area (Area III) which is the data engineering and analytics backbone for business teams spanning HR, Legal & Compliance, Procurement, Communications & Corporate Real estate.
You'll work collaboratively with stakeholders across the organization to understand requirements and deliver scalable, efficient data solutions. Key Responsibilities Design and implement data storage solutions including…
Read full description
You'll work collaboratively with stakeholders across the organization to understand requirements and deliver scalable, efficient data solutions. Key Responsibilities Design and implement data storage solutions including data lakes and data warehouses Develop and maintain robust data pipelines to extract, transform, and load data from various source systems Create and manage data models to support analytical and operational requirements Optimize data storage and processing for performance, cost, and reliability Collaborate with business stakeholders to understand requirements and provide efficient solutions Integrate data from multiple sources, including APIs, databases, and external data providers Ensure data quality and integrity through validation and transformation processes Document data engineering processes, systems, and standards Monitor and optimize the performance of data systems and pipelines Promote best practices for data management and engineering Partner with Product Owners and Engineering Leads to build target architectures and improve business processes About The Team The role is assigned to the Data Engineering & Analytics Product Area (Area III) which is the data engineering and analytics backbone for business teams spanning HR, Legal & Compliance, Procurement, Communications & Corporate Real estate.
This leader will drive adoption of modern data technologies, advanced data modeling, cloud architectures, and data governance principles, while building the discipline and maturity of Starr’s Data Architecture…
Read full description
This leader will drive adoption of modern data technologies, advanced data modeling, cloud architectures, and data governance principles, while building the discipline and maturity of Starr’s Data Architecture organization. Responsibilities: Data Architecture Vision, Strategy & Governance Define and execute the data architecture visio...
Salary tags blend employer provided ranges with Catalitium estimates. We mark ranges with Est. labels, note any missing data, and never inflate compensation to boost clicks.
Currency harmonized to USD/EUR/GBP/CHF to avoid surprises.
Outliers are reviewed manually before they appear on a card.
Sponsored employers follow the same disclosure and pay rules.
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.
How fresh are the job postings?
Listings are refreshed continuously from employer feeds and normalised daily. Each card shows a posted date pill so you can see exactly how old a listing is. Jobs posted within the last 7 days receive a green New badge. Listings older than 30 days receive a May be filled warning.
Do roles include salary estimates?
Yes. Most listings show an Est. salary pill derived from Catalitium's location-based salary database, blended with any employer-disclosed range. Senior and lead roles receive an automatic seniority uplift. If a salary range is genuinely unknown we leave the field blank rather than show a misleading estimate.
What is a ghost job and how do I spot one?
A ghost job is a listing that has been live for 30+ days and is likely already filled, on hold, or was never a real opening. Research suggests up to 40% of active listings at any time are ghost jobs. Catalitium flags every listing older than 30 days with a triangle May be filled badge so you can prioritise your energy on fresh openings.
What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
How do I negotiate a higher salary offer?
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.
Which European cities pay the most for tech?
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.
Can I track my job applications on Catalitium?
Yes. Our free Application Tracker lets you move roles through a Kanban pipeline: Applied, Phone Screen, Interview, Offer, and Closed. It requires no account and stores everything privately in your browser. Hit the Track button on any job card to add it. You can also export your full pipeline as a CSV.
How does Catalitium differ from LinkedIn Jobs?
LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
Can I filter to remote-only jobs?
Yes. Choose Remote in the location/country field or tap a Remote shortcut chip. Results are limited to roles that advertise remote or hybrid where the listing text supports it, and remote-friendly rows show a Remote badge.
Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
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.
Save this search and get a weekly digest of top matches.
Includes salary signal. No spam.