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.
Experience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc Experience in using DBT (Data Build Tool) with snowflake for ELT pipeline development. Good knowledge of Data…
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Experience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc Experience in using DBT (Data Build Tool) with snowflake for ELT pipeline development. Good knowledge of Data Marts and Data Warehousing concepts.
Develop and productionize data-driven product applications and API services in close collaboration with data scientists and analysts. Implement containerization (Kubernetes) for deploying and scaling data services…
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Develop and productionize data-driven product applications and API services in close collaboration with data scientists and analysts. Implement containerization (Kubernetes) for deploying and scaling data services reliably.
Description. Data Modeling Create and maintain enterprise-level conceptual, logical, and physical data models tailored for both structured and unstructured data.
The Data Architect will be responsible for designing, implementing, and managing data architectures, leading data governance efforts, and creating data models to support business operations. Qualifications Proficiency…
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The Data Architect will be responsible for designing, implementing, and managing data architectures, leading data governance efforts, and creating data models to support business operations. Qualifications Proficiency in Data Governance to ensure data integrity, security, and compliance.
EY- GDS - Data and Analytics – Associate Director– NVIDIA Solution Architect – Enterprise AI (Agentic AI) As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with…
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EY- GDS - Data and Analytics – Associate Director– NVIDIA Solution Architect – Enterprise AI (Agentic AI) As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. The opportunity We’re looking for a candidate with 18+ years with strong architect expertise into NVIDIA Solution Architect – Enterprise AI (Agentic AI) and delivery lead Role Purpose Design, prototype, and showcase Agentic AI systems for enterprise use cases, demonstrating autonomous, goal-driven AI and its business impact using NVIDIA’s full-stack AI platform.
Design and manage data pipeline processes for historic data migration and data integration. Stay updated on the latest advancements in Data Analytics, data architecture, and data management techniques.
Key Responsibilities Advanced Data Analysis & Insight Generation Performance Diagnostics: Conduct detailed, multi-dimensional analysis of large campaign datasets to identify underlying performance drivers and diagnose…
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Key Responsibilities Advanced Data Analysis & Insight Generation Performance Diagnostics: Conduct detailed, multi-dimensional analysis of large campaign datasets to identify underlying performance drivers and diagnose variances across channels and creatives. Data Storytelling & Communication: Translate complex analytical findings into clear, compelling narratives that effectively communicate insights to key stakeholders.
Summary Of Responsibilities Contribute to architectural vision for Fortrea’s data architecture, data integration and master data management strategies. Experience delivering data to staging environments, data warehouses…
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Summary Of Responsibilities Contribute to architectural vision for Fortrea’s data architecture, data integration and master data management strategies. Experience delivering data to staging environments, data warehouses and data marts.
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This individual will support leadership to make key decisions on system design, features, and segmentation with respect to the financial accounting systems. Beyond the financial system implementation, the Financial…
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This individual will support leadership to make key decisions on system design, features, and segmentation with respect to the financial accounting systems. Beyond the financial system implementation, the Financial Systems Analyst will continue to support the organization’s long-term digital transformation strategy by maintaining integrations, supporting system governance, managing financial configuration updates, assisting with system administration, providing system...
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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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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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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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