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.
🌐 Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management. Take the necessary time to recover and feel better.
The team focuses on scalable data platforms, big data solutions, and advanced analytics initiatives. About the Role As a Data Architect, you will play a critical role in designing, optimizing, and implementing scalable…
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The team focuses on scalable data platforms, big data solutions, and advanced analytics initiatives. About the Role As a Data Architect, you will play a critical role in designing, optimizing, and implementing scalable data architectures to support new data integrations and analytics use cases.
Responsibilities Include Develop and maintain data pipelines implementing ETL/ELT processes using Take responsibility for data set development and implementation Work closely with the wider data and BI team’s in…
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Responsibilities Include Develop and maintain data pipelines implementing ETL/ELT processes using Take responsibility for data set development and implementation Work closely with the wider data and BI team’s in implementing data analytic pipelines Help define data governance policies and support data versioning processes Maintain security and data privacy Define, build and maintain the data pipelines that will enable faster, better, data-informed decision-making within the business. Responsible for designing, architecting and developing the data environment.
Conduct exploratory data analysis and perform statistical analysis to identify patterns and correlations in data. Familiarity with large language models and their applications in data analysis.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
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Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
Read full description
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
Read full description
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
Read full description
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
Read full description
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
Read full description
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
Read full description
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Transform data into actionable insights. Show less…
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Transform data into actionable insights. Show less [{"type":"people_also_viewed","href":"https://uk..com/jobs/view/principal-ai-ml-robotics-engineer-environmental-perception-at-analog-devices-4292231712","jobId":"4292231712","label":"Principal AI/ ML Robotics Engineer - Environmental Perception"},{"type":"people_also_viewed","href":"https://uk..com/...
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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.
How fresh are the job postings?
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Do roles include salary estimates?
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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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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.
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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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