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.
COREDUTIES: · Install, configure, and support Oracle Database systems with Data Guard. · Experience with Oracle Analytics Server along with Fusion middleware such as Oracle 12c WebLogic and Tomcat.
Experience in developing real-time data solutions. Certifications: Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification.
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. Responsibilities Understand the day-to-day issues that our business faces, which can…
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The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. Responsibilities Understand the day-to-day issues that our business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience 1 - 2 years' Data Analysis experience Proficient in SQL Show less
About Stripe Stripe is a financial infrastructure platform for businesses. You will anticipate industry trends and use them to influence Stripe's long-range plans, setting direction on a multi-year timeframe for…
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About Stripe Stripe is a financial infrastructure platform for businesses. You will anticipate industry trends and use them to influence Stripe's long-range plans, setting direction on a multi-year timeframe for Stripe’s online storage layer.
The Data & Insights (D&I) team harnesses the power of data to deliver transformative insights and solutions to EA game teams and players. Causal Impact, Fixed Effect Regression),...
The Data & Insights (D&I) team harnesses the power of data to deliver transformative insights and solutions to EA game teams and players. Causal Impact, Fixed Effect Regression),...
Lead Data Engineer / Data Architect New York City, NY; (Onsite – 5 days/week) Tech skill set: Data Architecture, Data Modelling, Expert level SQL, Python, AWS Technologies (Glue), Snowflake and data engineering design…
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Lead Data Engineer / Data Architect New York City, NY; (Onsite – 5 days/week) Tech skill set: Data Architecture, Data Modelling, Expert level SQL, Python, AWS Technologies (Glue), Snowflake and data engineering design patterns Domain: Asset management, Alternatives Investments, Financial Services. 8+ years of experience in data engineering with a strong focus on Data Architecture, Data Modelling (Conceptual, Logical, Physical), ELT processes and data pipeline development.
The Data & Analytics organization at DriveWealth powers the company’s data ecosystem end-to-end. Within it, the Data Platform Engineering team owns two critical pillars: Data Ingestion - building reliable pipelines that…
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The Data & Analytics organization at DriveWealth powers the company’s data ecosystem end-to-end. Within it, the Data Platform Engineering team owns two critical pillars: Data Ingestion - building reliable pipelines that bring data from diverse internal and external sources Semantic Data Layer - creating curated, consistent and reliable datasets that enable analytics, reporting and decision making What You’ll Do Define the architectural vision and strategy for our data ecosystem, ensuring scalability, reliability, and security.
Support data governance efforts focused on protecting customer personal information, helping ensure data is handled, documented, and used responsibly across data platforms. Familiarity with analyzing data flows and…
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Support data governance efforts focused on protecting customer personal information, helping ensure data is handled, documented, and used responsibly across data platforms. Familiarity with analyzing data flows and dependencies, and contributing to reliable data solutions.
The Team Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. 6 years of experience in field service operations using Oracle Field…
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The Team Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. 6 years of experience in field service operations using Oracle Field Service and Oracle CPQ, including configuration and deployment on large-scale programs.
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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