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.
[Industry: Computers and Electronics Manufacturing | Type: Full-time | Level: Mid-Senior level] Welcome to the intersection of energy and home services. At NRG, we’re driven by our passion to create a smarter, cleaner…
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[Industry: Computers and Electronics Manufacturing | Type: Full-time | Level: Mid-Senior level] Welcome to the intersection of energy and home services. At NRG, we’re driven by our passion to create a smarter, cleaner and more connected future.Vivin
[Applicants: Over 200 applicants | Industry: Software Development | Type: Full-time | Level: Mid-Senior level] Company OverviewDomo's AI and Data Products Platform lets people channel AI and data into innovative uses…
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[Applicants: Over 200 applicants | Industry: Software Development | Type: Full-time | Level: Mid-Senior level] Company OverviewDomo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact
[Applicants: Over 200 applicants | Industry: Computers and Electronics Manufacturing | Type: Full-time | Level: Mid-Senior level] Welcome to the intersection of energy and home services. At NRG, we’re driven by our…
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[Applicants: Over 200 applicants | Industry: Computers and Electronics Manufacturing | Type: Full-time | Level: Mid-Senior level] Welcome to the intersection of energy and home services. At NRG, we’re driven by our passion to create a smarter, clean
[Applicants: Over 200 applicants | Industry: Financial Services | Type: Full-time | Level: Not Applicable]
Job DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career…
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[Applicants: Over 200 applicants | Industry: Financial Services | Type: Full-time | Level: Not Applicable]
Job DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As a Software Engineer III at JPMorgan Chase within the Corporate Technology - Consumer and Community Banking Risk Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.Job ResponsibilitiesDesigns, develops, and troubleshoots software solutions, leveraging both conventional and innovative approaches to solve complex technical problemsCreates secure, high-quality production code and maintains efficient algorithms that integrate seamlessly with relevant systemsProduces architecture and design artifacts for complex applications, ensuring that software development aligns with established design constraintsDevelops workflows and ETL pipelines using Python, Databricks, and Spark, optimizing data processing and transformation at scaleImplements and manages data solutions using Snowflake, including data modeling, performance tuning, and secure data sharingFrequently utilizes SQL, understands the role of NoSQL databases in the marketplace, and applies Spark for distributed data processing and analyticsGathers, analyzes, and synthesizes large, diverse data sets to develop visualizations and reporting that drive continuous improvement of software applications and systemsProactively identify hidden issues and patterns in data, using these insights to enhance coding practices and system architectureSupports the review of controls to ensure robust protection of enterprise data and updates on logical or physical data models based on evolving use casesAdvises and implements custom configuration changes in select tools to deliver tailored solutions for business or customer needsFosters a team culture of diversity, opportunity, inclusion, and respectRequired Qualifications, Capabilities, And SkillsFormal training or certification in software/data engineering concepts and 3+ years applied experienceAdvanced in one or more programming language / frameworks (i.e., Python 3, ETL, Spark, Snowflake, Databricks, SQL, NoSQL, etc.), with active knowledge of AWS...
[Industry: Construction, Software Development, and IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level] OverviewAre you passionate about changing the world through machine learning and location…
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[Industry: Construction, Software Development, and IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level] OverviewAre you passionate about changing the world through machine learning and location intelligence? Join Esri as we lev
[Applicants: Over 200 applicants | Industry: IT Services and IT Consulting | Type: Contract | Level: Mid-Senior level] DescriptionData Scientist:At B&A, we foster and embrace a distinct set of values that we live by…
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[Applicants: Over 200 applicants | Industry: IT Services and IT Consulting | Type: Contract | Level: Mid-Senior level] DescriptionData Scientist:At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our
[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] As a Data Scientist at Meta, you will shape the future of people-facing and business-facing…
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[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our ent
[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] As a Data Scientist at Meta, you will shape the future of people-facing and business-facing…
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[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our ent
[Applicants: Over 200 applicants | Industry: Staffing and Recruiting | Type: Contract | Level: Entry level] We are a leading utilities and energy company with operations across nearly every state in the contiguous U.S.…
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[Applicants: Over 200 applicants | Industry: Staffing and Recruiting | Type: Contract | Level: Entry level] We are a leading utilities and energy company with operations across nearly every state in the contiguous U.S. We generate, distribute, and d
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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