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.
[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Mid-Senior level] SeatGeek believes live events are powerful experiences that unite humans. With our…
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[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Mid-Senior level] SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attit
As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be…
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As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged by three types of work – Innovation, Business Intelligence and Data Management: Innovation Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives Business Intelligence Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization Drive analysis that provides meaningful insights on business strategies Data Management Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance Build and execute tools to monitor and report on data quality Our ideal candidate will have: Degree specialized in a Science, Technology, Engineering, Mathematics discipline Scripting experience in (Python, R, Spark, and SQL) Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data) Experience utilizing and developing within Snowflake services Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.
[Applicants: Over 200 applicants | Industry: Real Estate | Type: Full-time | Level: Mid-Senior level] Inside Real Estate is a fast-growing, independently-owned real estate software firm that serves as a trusted…
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[Applicants: Over 200 applicants | Industry: Real Estate | Type: Full-time | Level: Mid-Senior level] Inside Real Estate is a fast-growing, independently-owned real estate software firm that serves as a trusted technology partner to over 500,000 top
[Applicants: Be among the first 25 applicants | Industry: Accounting, IT Services and IT Consulting, and Business Consulting and Services | Type: Full-time | Level: Not Applicable] Our Deloitte Cyber team understands…
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[Applicants: Be among the first 25 applicants | Industry: Accounting, IT Services and IT Consulting, and Business Consulting and Services | Type: Full-time | Level: Not Applicable] Our Deloitte Cyber team understands the unique challenges and opport
As an employee-owned company, our people are Black & Veatch. We deliver innovative, data-driven solutions that help clients navigate complex infrastructure challenges across diverse industries.
As a Manager in Technical Architecture, you will play a pivotal role in bridging the gap between complex business problems and innovative technical solutions. You will be instrumental in understanding technical…
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As a Manager in Technical Architecture, you will play a pivotal role in bridging the gap between complex business problems and innovative technical solutions. You will be instrumental in understanding technical requirements and aligning the technical architecture with the solution architecture that translates these requirements into effective, workable solutions.
Position: Data Contributor Study Location: Remote Task duration: Up to 1 hour Engagement Model: One-time, task based At DataForce by TransPerfect we’re currently seeking participants residing in the USA to join our…
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Position: Data Contributor Study Location: Remote Task duration: Up to 1 hour Engagement Model: One-time, task based At DataForce by TransPerfect we’re currently seeking participants residing in the USA to join our Orchid Remote Audio Collection project What is the project about? To learn more about DataForce please visit us at https://www.transperfect.com/dataforce Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/ai-data-annotation-specialist-us-freelance-role-flexible-hours-at-telus-digital-4365163319","jobId":"4365163319","label":"AI Data Annotation Specialist (US) Freelance Role, Flexible Hours"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/freelance-agent-evaluation-engineer-at-mindrift-4370398812","jobId":"4370398812","lab...
Accountabilities Conduct complex analytic studies using statistical techniques against various healthcare data. Proficiency in analyzing healthcare data, including pharmacy claims.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data…
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In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data…
Read full description
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data…
Read full description
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
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.
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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?
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.
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