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.
Key Responsibilities Data Architecture & Modeling: Design and implement scalable database and data warehousing solutions (e.g., data lakes, star schemas) to support analytics, reporting, and machine learning…
Read full description
Key Responsibilities Data Architecture & Modeling: Design and implement scalable database and data warehousing solutions (e.g., data lakes, star schemas) to support analytics, reporting, and machine learning initiatives. Data Quality & Governance: Implement rigorous data validation, cleansing procedures, and quality checks at each stage of the pipeline, ensuring data integrity and adherence to industry regulations.
📌 We’re Hiring: Freelance Data Analyst 📍 Remote (Switzerland-based) 🕒 Freelance / Contract We are looking for a skilled Freelance Data Analyst to support data-driven decision-making across our organization. 🎯 Key…
Read full description
📌 We’re Hiring: Freelance Data Analyst 📍 Remote (Switzerland-based) 🕒 Freelance / Contract We are looking for a skilled Freelance Data Analyst to support data-driven decision-making across our organization. 🎯 Key Responsibilities Collect, clean, and analyze datasets from multiple sources Develop dashboards, reports, and visualizations to support business insights Identify trends, patterns, and anomalies in data to guide decisions Collaborate with cross-functional teams to understand data requirements Provide actionable recommendations based on data analysis Ensure data quality, accuracy, and compliance with standards ✅ RequirementsExperience Proven experience as a Data Analyst, Data Specialist, or similar role Experience with large datasets, statistical analysis, and reporting Skills Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI, or similar) Experience with Python, R, or other analytics tools is a plus Strong analytical and problem-solving skills Attention to detail and ability to work independently Effective communication skills for remote collaboration General Fluent in English (German or French is a plus) Based in Switzerland with the legal right to work as a freelancer Comfortable working fully remotely 🌟 What We Offer Fully remote freelance engagement Flexible working hours and project-based assignments Exposure to diverse datasets and business areas Opportunities to apply and expand analytical skills Competitive freelance rates Show less [{"type":"people_also_viewed","href":"https://ch..com/jobs/view/online-data-analyst-german-speaker-at-telus-digital-4364292204","jobId":"4364292204","label":"Online Data Analyst - German Speaker"},{"type":"people_also_viewed","href":"https://ch..com/jobs/view/online-data-analyst-german-speaker-at-telus-digital-4366709567","jobId":"4366709567","lab...
Role:Clinical Data Analyst (MD, DO, MBBS, or equivalent) - Remote Locations: Germany (100% Remote) Compensation: Up to USD 120/hour We are looking for a "Clinical Data Analyst " with clinical imaging experience…
Read full description
Role:Clinical Data Analyst (MD, DO, MBBS, or equivalent) - Remote Locations: Germany (100% Remote) Compensation: Up to USD 120/hour We are looking for a "Clinical Data Analyst " with clinical imaging experience contribute to advanced AI model training by creating diagnostic questions, reviewing AI outputs, and providing structured feedback. Show less [{"type":"people_also_viewed","href":"https://de..com/jobs/view/data-scientist-analyst-power-bi-m-w-d-at-weleda-ag-4371409312","jobId":"4371409312","label":"Data Scientist/Analyst Power BI (m/w/d)"},{"type":"people_also_viewed","href":"https://de..com/jobs/view/healthcare-data-analyst-remote-at-quik-hire-staffing-4370977100","jobId":"4370977100","label":"Healthcare Data Analyst - Remote"},{"type":"people_also_viewed","href":"https://de..co...
Applicants for the Quantitative Analyst role should develop and validate quantitative models, work with large datasets, and support pricing, risk, or trading activities. Show less…
Read full description
Applicants for the Quantitative Analyst role should develop and validate quantitative models, work with large datasets, and support pricing, risk, or trading activities. Show less [{"type":"people_also_viewed","href":"https://hu..com/jobs/view/quantitative-developer-in-the-market-risk-analytics-engineering-team-at-morgan-stanley-4323688524","jobId":"4323688524","label":"Quantitative Developer in the Market Risk Analytics, Engineering team"},{"type":"people_also_viewed","href":"https://hu..com/jobs/view/quantitative-developer-at-kishonti-ltd-4369773671","jobId":"4369773671","label":"Quantitative Developer"},{"type":"people_also_viewed","href":"https://hu..com/jobs/view/quantitative-developer-at-worldquant-4367341438","jobId":"4367341438","label":"Quantitative Developer"},{"type":"people_also_viewed","href":"https://hu..com/jobs/view/senior-quantitative-developer-at-worldquant-4359665587","jobId":"4359665587","label":"Senior Quantitative Developer"},{"type":"people_also_viewed","href":"https://hu..com/jobs/view/senior-quantitative-researcher-qis-at-ravenpack-4309245444","jobId":"4309245444","label":"Senior Quantitative Researcher - QIS"}]
Its focus is on financial services providers, telecommunications companies, the automotive industry and energy service providers. Responsibilities Designing and implementing architectures within a complex banking…
Read full description
Its focus is on financial services providers, telecommunications companies, the automotive industry and energy service providers. Responsibilities Designing and implementing architectures within a complex banking environment Integrating data management solutions based on Azure and on-premise relational database systems, as well as connecting with additional internal banking systems Actively contributing to implementation squads and helping shape the technical direction of development efforts Collaborating and coordinating with cross-functional teams and business units Requirements 3–5 years of relevant professional experience in a data-related field Hands-on experience working in Azure environments Proficiency in at least one programming language (e.g., Java, Python, Spark) Familiarity with data management tools and data warehousing solutions Strong problem-solving and analytical skills Solid communication skills in English A fast learner with strong adaptability and a proactive attitude Advantages Development experience with Databricks Understanding of banking or financial processes Experience working within complex system architectures Hands-on involvement in implementing Data Lakehouse solutions in cloud environments Why We Think You Will Love Working Here With us you count as a per...
In this role, you’ll work closely with engineering teams to integrate test environments, design data flows, architect data lakes, and build custom software solutions tailored to unique measurement and configuration…
Read full description
In this role, you’ll work closely with engineering teams to integrate test environments, design data flows, architect data lakes, and build custom software solutions tailored to unique measurement and configuration challenges. Design and implement tailored data ingestion pipelines, schemas, and configurations that fit each customer’s unique environment, working closely with colleagues across engineering and customer teams.
Hiring REMOTE Python Developer (Data Analysis Focus) - Multiple positions immediately available. Required Skills and Tools: • Python (Intermediate) hands-on experience Comfortable maintaining and extending existing codebases (ETL pipelines, notebooks, Plotly Dash dashboards) Strong fundamentals and problem-solving skills; able to reason about code rather than relying on copy-paste solutions • SQL / BigQuery Experience querying and updating analytical data using SQL Familiarity with Google BigQuery or similar analytical databases • Git / GitHub Working knowledge of core GitHub workflows (push, pull, branches, issues) Ability to collaborate on, maintain, and improve a shared codebase • Proven experience with Google Cloud Platform (GCP) Qualifications: • 2–4+ years of professional experience working with Python in a data-focused or backend role • Experience maintaining and improving existing Python codebases rather than building only greenfield projects • Strong understanding of ETL concepts and working with data from multiple business systems (CRMs, payment platforms, marketing tools, etc.) • Comfortable working with SQL-based analytical databases and reasoning about data correctness • Familiarity with cloud-based infrastructure, preferably Google Cloud Platform • Experience using Git/GitHub in a collaborative d...
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.
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.
Currency harmonized to USD/EUR/GBP/CHF to avoid surprises.
Outliers are reviewed manually before they appear on a card.
Sponsored employers follow the same disclosure and pay rules.
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.
Save this search and get a weekly digest of top matches.
Includes salary signal. No spam.
