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.
Conduct exploratory data analysis and perform statistical analysis to identify patterns and correlations in data. Familiarity with large language models and their applications in data analysis.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
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Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
Read full description
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
Read full description
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
Read full description
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
Read full description
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and…
Read full description
Key Responsibilities Component Development: Design, build, and maintain core portfolio components that power our Cyber AI solutions. Cloud Integration: Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments.
Join us to lead the clean energy future. TOTAL REWARDS Constellation offers a wide range of benefits and rewards to help our employees thrive professionally and personally.
Join us to lead the clean energy future. Primary Purpose Of Position The Lead Software Engineer provides technical leadership, guidance, and mentorship to support the successful development and delivery of high-quality…
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Join us to lead the clean energy future. Primary Purpose Of Position The Lead Software Engineer provides technical leadership, guidance, and mentorship to support the successful development and delivery of high-quality software applications.
Data Analyst or Manager. Primary Duties And Accountabilities Support data preparation efforts for AI/ML models by sourcing, cleaning, and profiling structured and unstructured data.
Key Responsibilities Phase 1 Deliverables • Following EDB standard, design and establish AWS S3 bucket structure for data lake (Bronze/Silver/Gold zones) with Red CCI security controls • Build new data pipelines to…
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Key Responsibilities Phase 1 Deliverables • Following EDB standard, design and establish AWS S3 bucket structure for data lake (Bronze/Silver/Gold zones) with Red CCI security controls • Build new data pipelines to extract data from the selected SaaS-based HSE systems • Enhance/extend data pipelines using the dataset from AWS EDB Asset related data products and digital solutions • MES selection to be finalized by the end of Jan 2027 - Build data ingestion pipeline for selected MES via REST API (Lambda-based extraction). If a different MES is chosen, change course accordingly • Data pipeline to SaaS based HSE tools to integrate data into the data warehouse • Implement CDC pipeline for LabVantage LIMS using AWS DMS from Oracle database (or Azure Data Factory) • Develop Bronze-to-Silver transformations using AWS Glue or Azure Data Factory depending on data domains • Configure AWS Glue Data Catalog with appropriate metadata and Red CCI classification tags Phase 2 Deliverables • Connect to EDB marketplace for enterprise reference data • Build Silver-to-Gold transformations creating batch-centric data products • Implement data quality checks and monitoring dashboards • Develop orchestration workflows using AWS Step Functions • Support Power BI Developer in validating OneLake shortcut connectivity to Gold zone • Document data lineage, schema definitions, and pipeline architecture Ongoing Responsibilities • Monitor pipeline health, troubleshoot failures, and optimize performance • Collaborate with Power BI Developer on data model requirements and data quality issues • Support data governance and security compliance reviews • Respond to ad-hoc data requests from engineers • Coordinate with enterprise EDB team on data sharing agreements and standards Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-analyst-at-sti-4368833518","jobId":"4368833518","label":"Data Analyst"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-engineer-manager-at-pwc-4369137679","jobId":"43691376...
Handle complex data requests, reports, and predictive data modeling. 2+ years of statistical analysis or data analysis experience or 1+ years of related IT experience, including data warehouse, coding or ETL experience.
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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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