Data science roles bridge statistics, programming, and business intelligence. Demand is strong across all sectors (from fintech to e-commerce), with Python, SQL, and cloud data platforms (Snowflake, BigQuery, dbt) as the core stack.
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…
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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.
The role As a Data Analyst, you will support the delivery of analytics initiatives that underpin organisation‑wide strategic priorities. You will partner closely with teams across the business to translate data into…
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The role As a Data Analyst, you will support the delivery of analytics initiatives that underpin organisation‑wide strategic priorities. You will partner closely with teams across the business to translate data into meaningful insights and contribute to scalable, value‑driven analytics solutions.
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…
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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...
Key Responsibilities Data Architecture Strategy: Develop and drive the overall data architecture strategy for PM2PA, including designing scalable data models, data integration workflows, and data governance frameworks…
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Key Responsibilities Data Architecture Strategy: Develop and drive the overall data architecture strategy for PM2PA, including designing scalable data models, data integration workflows, and data governance frameworks that meet enterprise standards. Oracle EBS & Cloud Integration: Lead the future integration of PM2PA business processes and workflows with Ora...
Key Responsibilities Data Architecture Strategy: Develop and drive the overall data architecture strategy for PM2PA, including designing scalable data models, data integration workflows, and data governance frameworks…
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Key Responsibilities Data Architecture Strategy: Develop and drive the overall data architecture strategy for PM2PA, including designing scalable data models, data integration workflows, and data governance frameworks that meet enterprise standards. Oracle EBS & Cloud Integration: Lead the future integration of PM2PA business processes and workflows with Ora...
This role will closely with cross-functional teams to identify data needs, develop data models, and ensure that data is accurate, reliable, and available for analysis and reporting. Knowledge of end-to-end data flows…
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This role will closely with cross-functional teams to identify data needs, develop data models, and ensure that data is accurate, reliable, and available for analysis and reporting. Knowledge of end-to-end data flows for Legal, Audit, Risk and Compliance domains Understanding of regulatory frameworks like BCBS239 which mandate data lineage and data quality standards.
Build and evolve shared GenAI platforms, tools, and frameworks that enable teams to safely deliver AI use cases at scale. Own and evolve a shared GenAI codebase to drive reuse, consistency, and speed across ventures and…
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Build and evolve shared GenAI platforms, tools, and frameworks that enable teams to safely deliver AI use cases at scale. Own and evolve a shared GenAI codebase to drive reuse, consistency, and speed across ventures and teams.
[Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] Company Description is the world’s largest professional network, built to create economic opportunity for every member of the…
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[Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] Company Description is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our pr
[Industry: Financial Services | Type: Full-time | Level: Mid-Senior level] Vanguard is looking for a senior level data analyst with experience presenting recommendations to senior management, developing innovative…
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[Industry: Financial Services | Type: Full-time | Level: Mid-Senior level] Vanguard is looking for a senior level data analyst with experience presenting recommendations to senior management, developing innovative solutions, and is technically skill
Build logical and physical data models, enforce data quality, and integrate data across multiple systems. Data Design and Requirements Analysis: Able to apply data design patterns and frameworks, working knowledge of…
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Build logical and physical data models, enforce data quality, and integrate data across multiple systems. Data Design and Requirements Analysis: Able to apply data design patterns and frameworks, working knowledge of schemas and normalization.
[Industry: Staffing and Recruiting | Type: Contract | Level: Mid-Senior level] We are seeking a talented Senior Data Analyst to join our dynamic team. This role offers the opportunity to work with cutting-edge…
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[Industry: Staffing and Recruiting | Type: Contract | Level: Mid-Senior level] We are seeking a talented Senior Data Analyst to join our dynamic team. This role offers the opportunity to work with cutting-edge technologies while contributing to impa
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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 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.
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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.
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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.
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