Software development remains the largest category in tech hiring globally. Whether you specialise in full-stack, backend, frontend, mobile or DevOps, demand for strong engineers continues to outpace supply across all major markets.
Required Skills & Experience 8–12 years of experience in Data Engineering, Big Data, or Data Warehousing. Proven expertise in designing and deploying cloud‑native data pipelines.
Develop automation scripts, data processing pipelines, and backend services in Python. Show less…
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Develop automation scripts, data processing pipelines, and backend services in Python. Show less [{"type":"people_also_viewed","href":"https://in..com/jobs/view/senior-data-engineer-at-roku-4364374557","jobId":"4364374557","label":"Senior Data Engineer"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/analytics-ai-engineer-intern-at-discover-dollar-inc-4258680566","jobId":"4258680566","label":"Analytics/AI Engineer Intern"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/data-engineer-python-engineer-at-peliqan-4257187994","jobId":"4257187994","label":"Data Engineer (Python engineer)"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/data-engineer-at-infosys-4360007440","jobId":"4360007440","label":"Data Engineer"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/data-engineer-at-schneider-electric-4356150849","jobId":"4356150849","label":"Data Engineer"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/data-engineer-gfs-global-finance-solution-at-amazon-4346608898","jobId":"4346608898","label":"Data Engineer, , GFS (Global Finance Solution)"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/sr-data-engineer-at-roku-4370951220...
Big Data Technologies: Experience with big data technologies, including NoSQL databases, data warehousing, and ETL tools. Data Processing: Experience with data processing frameworks, including Hadoop, Spark, and Flink.
Location Ottawa, Canada- Hybrid Toronto, Canada- Hybrid Other Canadian locations- Remote About The Team Our customers have the largest supply chains imaginable. The scale, complexity, and volume of data driving those…
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Location Ottawa, Canada- Hybrid Toronto, Canada- Hybrid Other Canadian locations- Remote About The Team Our customers have the largest supply chains imaginable. The scale, complexity, and volume of data driving those supply chains continues to grow.
Design and develop ETL and/or ELT pipelines using multiple sources of data in various formats between data lake and data warehouse. Help build data engineering expertise and framework.
You will work on end-to-end delivery of Salesforce solutions, translating solution designs into reliable, maintainable code and configurations. What You Will Do Design, develop, test, document, and deploy high quality…
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You will work on end-to-end delivery of Salesforce solutions, translating solution designs into reliable, maintainable code and configurations. What You Will Do Design, develop, test, document, and deploy high quality Salesforce solutions, leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns Analyze client specific requirements and define data model to support the business, reporting and technical requirements Develop on demand Salesforce applications using Apex Classes, Triggers, Lightning Web Components (LWC), Flows, and integrations following Salesforce best practices Participate in evaluating new CRM technologies, Salesforce product releases, and add ons (e.g., Data Cloud, DevOps Center, Salesforce Functions, Agentforce) and create plans for their adoption in Salesforce orgs Proactively monitor new capabilities of Agentforce (AI Agents) with focus to build, extend or automate business workflows using Agent Actions, Prompt Templates, AI driven orchestration, and Einstein Copilot extensions Provide ongoing technical support, optimization, troubleshooting, and maintenance for existing Salesforce customizations and configurations Share knowledge on Salesforce development best practices (secure Apex, LWC patterns, CI/CD, modular architecture, performant Flows, integration patterns) Leverage experience with .NET, Java, web services, and/or SQL Server to understand or build scalable integration points between Salesforce and external systems using REST, SOAP, Platform Events, or middleware What We Expect Advanced Salesforce development experience with strong focus on Apex, Lightning Web Components and modern declarative automation (Flows) Experience with Agentforce, including building or enhancing AI Agents, configuring Agent Actions, and using Prompt Builder or Einstein Copilot features is a strong advantage H...
Develop data extraction and integration processes to support analysis, data science, clinical operations, and decision support activities. Maintain a highly organized library of programming and other technical content…
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Develop data extraction and integration processes to support analysis, data science, clinical operations, and decision support activities. Maintain a highly organized library of programming and other technical content used in data integration, analysis, and data science.
The Replication Manager team is seeking passionate developers to enhance replication support for the Cloudera Data Platform. Replication Manager enables customers to replicate data across data centers or between…
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The Replication Manager team is seeking passionate developers to enhance replication support for the Cloudera Data Platform. Replication Manager enables customers to replicate data across data centers or between on-premises and cloud environments.
⚙️ Solve Complex Problems: Tackle scalability and performance challenges across high-volume, real-time datasets. 📈 Drive Innovation: Influence architecture decisions, test new ideas, and continuously improve performance…
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⚙️ Solve Complex Problems: Tackle scalability and performance challenges across high-volume, real-time datasets. 📈 Drive Innovation: Influence architecture decisions, test new ideas, and continuously improve performance and reliability.
Responsibilities Perform the speciation, design, implementation, build and verification of Mission Critical Flight Platform Software aligned with ReOrbit’s software‑defined satellite philosophy. Perform thorough code…
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Responsibilities Perform the speciation, design, implementation, build and verification of Mission Critical Flight Platform Software aligned with ReOrbit’s software‑defined satellite philosophy. Perform thorough code reviews and contribute to architectural and design decision‑making of software.
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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