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.
Easy Apply now by clicking the "Easy Apply" button and sending us your resume.Salary $140,000 - $170,000 per yearA Bit About UsWe’re a global leader in data and AI/ML services and one of the fastest-growing companies in…
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Easy Apply now by clicking the "Easy Apply" button and sending us your resume.Salary $140,000 - $170,000 per yearA Bit About UsWe’re a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. You’ll work alongside some of the brightest minds in data engineering and AI/ML — all driven by a shared passion to solve the toughest data challenges for leading global enterprises.Why join us?Competitive Compensation $140,000 – $190,000+ base salary (depending on experience)Remote-First Work from anywhere in the US with occasional customer-site travel nationwideMassive Growth Be part of a company growing 40% YOY, creating career advancement opportunitiesCutting-Edge Tech Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and moreAward-Winning Culture Collaborative, inclusive, and committed to professional developmentLearning & Development Accelerated training, advanced certifications, and exposure to AI/ML innovationTime Off & Benefits 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perksJob DetailsWe’re seeking a Solutions Architect who thrives at the intersection of data engineering solutions.
Data Integration: Integrate data from various sources, ensuring data quality and consistency. Data Modeling: Develop and maintain data models to support business intelligence and analytics.
Job Description We’re looking for a Data Analytics Engineer to join our Financial Infrastructure team in Tallinn. How You’ll Make An Impact Design and implement high-performance, reusable, and scalable data models for…
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Job Description We’re looking for a Data Analytics Engineer to join our Financial Infrastructure team in Tallinn. How You’ll Make An Impact Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and BigQuery Design and implement Looker structures (explores, views, etc) which will enable users across the organisation to self-serve analytics Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting Continuously discover, transform, test, deploy and document data sources and data models Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices and peer reviews Take initiative to improve and optimise analytics engineering workflows and platforms What We’re Looking For Proven delivery experience as a data, business intelligence or analytics engineer Hands-on proven data modelling and data warehousing skills demonstrated in large-scale data ...
Business/Data Analyst - RELEX Solutions Reports to: Presales Director - North America Location: North America (Remote or RELEX North America HQ in Atlanta, Georgia) Employment type: Permanent, full-time Team: Presales…
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Business/Data Analyst - RELEX Solutions Reports to: Presales Director - North America Location: North America (Remote or RELEX North America HQ in Atlanta, Georgia) Employment type: Permanent, full-time Team: Presales North America and LATAM (collaborating with Central Presales Analytics) Travel: Less than 5-10% across North America and LATAM Compensation: Competitive base salary plus performance-based incentives About the Role: The Business/Data Analyst at RELEX is a pivotal support role that enhances the presales team's effectiveness throughout the sales cycle. You will work directly with Presales Solution Principals and the broader Presales team across North America and LATAM, providing the analytical foundation and technical expertise that drives successful customer engagements.
días — The role works closely with Data Analysts, Data Scientists, and business stakeholders to translate planning and engineering needs into enterprise‑grade data ...
Key Responsibilities: Product planning and management: Develop and execute product roadmaps to ensure product development aligns with the company's business strategy and needs. Design intelligent decision-making…
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Key Responsibilities: Product planning and management: Develop and execute product roadmaps to ensure product development aligns with the company's business strategy and needs. Design intelligent decision-making products, collaborate with data scientists for model selection and technical design, and use AI technology to optimize business processes.
Technology Breadth: Strong background in database, integrations, and analytics (Oracle Database and Data Integration platforms, Oracle Analytics Cloud) AI Enablement: Familiarity with GenAI, LLMs, Machine Learning,…
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Technology Breadth: Strong background in database, integrations, and analytics (Oracle Database and Data Integration platforms, Oracle Analytics Cloud) AI Enablement: Familiarity with GenAI, LLMs, Machine Learning, Python Demo Innovation: Hands-on capability with Oracle Data Integrator, Python, Oracle Analytics/ Fusion Data Intelligence for creating impactful demos. Familiarity with Oracle Cloud Infrastructure (OCI), Oracle Data Integration, Oracle Analytics/Fus...
días — Degree in Mechanical Engineering or equivalent · 5 years' experience in project management with knowledge in project management concepts, tool, software, and ...
días — Design the data, analytics, and intelligence foundations that products and decisions are built on. Behind every confident product decision sits a platform ...
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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.
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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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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.
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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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