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.
Data Strategy & Governance: Develop and enforce best practices for data modelling, data governance, and metadata management. Data Platform Development: Architect and implement advanced data platforms to support…
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Data Strategy & Governance: Develop and enforce best practices for data modelling, data governance, and metadata management. Data Platform Development: Architect and implement advanced data platforms to support analytics, machine learning, and AI applications.
About BCG Platinion BCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. And together with BCG, BCG Platinion’s interdisciplinary team of technical experts enable…
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About BCG Platinion BCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. And together with BCG, BCG Platinion’s interdisciplinary team of technical experts enable customized technical solutio...
Manage and prioritise various regulatory data initiatives. Using data extraction tools from the AIB Data Warehouse, analyse and report data to meet business requirements.
About The Job As a Senior Data Analyst (Product Analytics) you will have the opportunity to support building out our Consumer Growth Analytics function. You’ll play a pivotal role in shaping and advancing our Product…
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About The Job As a Senior Data Analyst (Product Analytics) you will have the opportunity to support building out our Consumer Growth Analytics function. You’ll play a pivotal role in shaping and advancing our Product Analytics capability.
[Industry: Technology, Information and Internet | Type: Full-time | Level: Mid-Senior level] About AgodaAt Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and…
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[Industry: Technology, Information and Internet | Type: Full-time | Level: Mid-Senior level] About AgodaAt Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for t
Our client service a wide range of clients, particularly focussing on audience, membership and follower data and insights. Essential Role Requirements Experience With The Following Dashboard design and creation in…
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Our client service a wide range of clients, particularly focussing on audience, membership and follower data and insights. Essential Role Requirements Experience With The Following Dashboard design and creation in current tools (PowerBI / Looker etc.) Predictive analytics Strong presentation and stakeholder skills.
Purpose of our Practice is to support our data scientists and data engineers with a holistic data & AI related consulting offering, ranging from technical/ operational to conceptual/ strategic. by assessing the client's…
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Purpose of our Practice is to support our data scientists and data engineers with a holistic data & AI related consulting offering, ranging from technical/ operational to conceptual/ strategic. by assessing the client's data and machine learning maturity or identifying data-driven use cases and a defining an impactful implementation roadmap interact with our clients to understand their data-related challenges and related tech and business questions they need to answer collaborate with our data scientists, data engineers and IT architects on the implementation of impactful data-based solutions and machine learning use cases consult on the implementation of critical enablers like data governance, model governance, MLOps or analytics centres of excellence interact directly with th...
Job Description The Chief Client Office's mission is to optimize client value for Natixis CIB by developing the CIB Client Franchise and implementing commercial best practices. The Americas Data and Tooling expert plays…
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Job Description The Chief Client Office's mission is to optimize client value for Natixis CIB by developing the CIB Client Franchise and implementing commercial best practices. The Americas Data and Tooling expert plays a critical role in defining and driving strategic initiatives within the firm’s client relationship management ecosystem across the Americas, with a focus on data analysis and operational efficiency.
Model effectively—with deep understanding—agile execution, change management, and transformation advocacy across the business. Acts as liaison to the business areas and systems users.
Standort: Berlin oder Hamburg Was Du mitgestaltest In der ausgeschriebenen Rolle berätst Du im Rahmen von Kundenprojekten zur Evaluierung, Implementierung und / oder Anwendung des SAP Data & Analytics Portfolios mit…
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Standort: Berlin oder Hamburg Was Du mitgestaltest In der ausgeschriebenen Rolle berätst Du im Rahmen von Kundenprojekten zur Evaluierung, Implementierung und / oder Anwendung des SAP Data & Analytics Portfolios mit möglichen Schwerpunkten wie SAP Business Data Cloud, SAP Datasphere, SAP HANA Cloud, Data Warehousing, Artificial Intelligence, SAP Analytics Cloud, SAP Business Technology Platform und weiteren Themen. Außerdem Bringst Du Mit Passion for Data Exzellente Kenntnisse und Erfahrung im Umgang mit dem gesamten SAP Analytics & Insight Portfolio Sehr gute Kenntnisse in mindestens zwei der strategisch wichtigen Analytics & Insight Solutions, wie SAP Business Data Cloud, SAP Data Sphere, SAP Analytics Cloud, SAP HANA Cloud Kenntnisse und Erfahrung in der Nutzung der relevanten Programmiersprachen (ABAP, J...
Insight Investment is looking for Security Architect to join the Data Platform team in Manchester. The role will focus on designing, implementing, and continuously enhancing the security of our Snowflake-based data…
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Insight Investment is looking for Security Architect to join the Data Platform team in Manchester. The role will focus on designing, implementing, and continuously enhancing the security of our Snowflake-based data platform hosted on Microsoft Azure.
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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.
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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.
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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