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.
Collaborating with the other team members, data analysts, and data scientists. #Jobster Show less…
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Collaborating with the other team members, data analysts, and data scientists. #Jobster Show less [{"type":"people_also_viewed","href":"https://uk..com/jobs/view/senior-data-engineer-at-solirius-reply-4333131699","jobId":"4333131699","label":"Senior Data Engineer"},{"type":"people_also_viewed","href":"https://uk..com/jobs/view/data-engineer-at-barnett-waddingham-4369548179","jobId":"4369548179","label":"Data Engineer"},{"type":"people_also_viewed","href":"https://uk..com/jobs/view/data-engineer-at-dot-collective-4252320193","jobId":"4252320193","label":"Data Engineer"},{"type":"people_also_viewed","href":"https://uk..com/jobs/view/data-engineer-at-youview-tv-limited-4330422146","jobId":"4330422146","label":"Data Engin...
Familiarity with version control systems like Git Eagerness to learn and adapt to new technologies, frameworks, and best practices in the rapidly evolving Android ecosystem Basic understanding of computer science…
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Familiarity with version control systems like Git Eagerness to learn and adapt to new technologies, frameworks, and best practices in the rapidly evolving Android ecosystem Basic understanding of computer science concepts like data structures, algorithms, software architecture, and design patterns. Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/analytics-engineer-gtm-data-infrastructure-at-doordash-4348538897","jobId":"4348538897","label":"Analytics Engineer, GTM Data Infrastructure"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/senior-data-engineer-at-cornerstone-technology-talent-services-4367024241","jobId":"4367024241","label":"Senior Data Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/analytics-engineer-at-kubra-4344922037","jobId":"4344922037","label":"Analytics Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/staff-data-engineer-data-platform-at-postscript-4284932275","jobId":"4284932275","label":"Staff Data Engineer, Data Platform"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/senior-data-engineer-at-launch-potato-4370306486","jobId":"4370306486","label":"Senior Data Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/senior-data-engineer-at-carvana-4357415799","jobId":"4357415799","label":"Senior Data Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/tech-lead-data-engineer-at-circle-k-4331997889","jobId":"4331997889","label":"Tech Lead Data Engineer"},{"typ...
Tech stack: Micro-services Container Platforms (Kubernetes, CRC, Docker) Big Data Technologies (Apache.... 25 days holiday Life insurance Interview Process Initial Technical Cultural Show less…
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Tech stack: Micro-services Container Platforms (Kubernetes, CRC, Docker) Big Data Technologies (Apache.... 25 days holiday Life insurance Interview Process Initial Technical Cultural Show less [{"type":"people_also_viewed","href":"https://uk..com/jobs/view/software-engineer-at-quantcast-4319565173","jobId":"4319565173","label":"Software Engineer"},{"type":"people_also_viewed","href":"https://uk..com/jobs/view/founding-engineer-%C2%A3240k%2B-at-jack-jill-4356721592","jobId":"4356721592","label":"Founding Engineer (£240k+ )"},{"type":"people_also_viewed","href":"http...
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This role will work alongside the data editor to craft the newsroom’s approach to using and visualizing data. Work with the data team to develop newsroom trainings to further data literacy across the newsroom.
Are you passionate about big data and eager to work with cutting-edge technologies? What You'll Do: Design, develop, test, deploy, maintain, and improve data pipelines; Coding using Apache Spark on Azure Databricks;…
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Are you passionate about big data and eager to work with cutting-edge technologies? What You'll Do: Design, develop, test, deploy, maintain, and improve data pipelines; Coding using Apache Spark on Azure Databricks; Design and develop big data architectures using Azure Data Factory, Service Bus, BI, Databricks, and other Azure Services Requirements Must-Have Qualifications: Bachelor's degree in Computer Science or Software Engineering; Strong analytical skills, team - and quality-oriented, keen to learn and excel; Thorough knowledge of Apache Spark; Experience as a Data Engineer; Advanced knowledge of Python or Scala; Spark query tuning and performance optimization; Experience with cloud platforms (Azure, AWS, or GCP); Fluency in verbal and written English.
Joining the Reporting product line, you would work as a member of a small, highly focused team, responsible for delivering backend services for a highly scalable reporting and analytics platform, using leading edge…
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Joining the Reporting product line, you would work as a member of a small, highly focused team, responsible for delivering backend services for a highly scalable reporting and analytics platform, using leading edge technologies. Tech Stack: Micro-services Container Platforms (OpenShift, Kubernetes, CRC, Docker) File formats (Avro, Parquet, Orc) Large scale data processing (Kafka) Large scale data platforms (Hadoop, Trino, Spark) Dependency injection frameworks (Spring, Guice) Splunk CI/CD Build tools (Maven, Git, Jenkins) Frameworks: Vert.x Text search engines (Lucene, ElasticSearch) Your Job: Develop ETL and ELT jobs and processes Support data analysis and design efforts within the wider team Migrate existing services to microservices, with the goal of reducing complexity at the design and architecture level Write unit and integration tests for your Java code Collaborate with testers in development of functional test cases Develop deployment systems for Java based systems Collaborate with product owners on user story generation and refinement Monitor and support the operation of production systems Participate in knowledge sharing activities with colleagues Pair programming and peer reviews About You: Required Experience: Minimum 8 years of Java development experience in an Agile environment, building scalable applications and services with a focus on big data solutions and analytics 7+ year experience in developing ETL / ELT processes using relevant technologies and tools Experienced in working with data lakes and data warehouse platforms for both batch and streaming data sources ANSI SQL experience or other flavours of SQL Experience of unstructured, semi-structured and structured data processing A good understanding of ETL/ELT principles, best practices and patterns used Experienced in some big data technologies such as Hadoop, Spark and other Apache platform products Experience with RESTful services Passion for Test Driven Development CI/CD Exposure to data visualisation and Business Intelligence solutions Sho...
What You'll Do: The Big Data Developer will design and implement solutions for big data processing. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations,…
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What You'll Do: The Big Data Developer will design and implement solutions for big data processing. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agenci...
Having expertise in Spark Core, Spark SQL and Spark Streaming. Minimum Years of Experience: 8 years Certifications Needed: Karat assessment Show less…
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Having expertise in Spark Core, Spark SQL and Spark Streaming. Minimum Years of Experience: 8 years Certifications Needed: Karat assessment Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/analytics-engineer-at-creditassociates-4257743966","jobId":"4257743966","label":"Analytics Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-engineer-at-cacique-foods-llc-4371052971","jobId":"4371052971","label":"DATA ENGINEER"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-engineer-%E2%80%93-insurance-data-modernization-at-novisync-inc-4289304189","jobId":"4289304189","label":"Data Engineer...
[Applicants: Over 200 applicants | Industry: Advertising Services | Type: Full-time | Level: Not Applicable] OverviewWhat You’ll Achieve:Design, develop, and maintain scalable data processing solutions across…
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[Applicants: Over 200 applicants | Industry: Advertising Services | Type: Full-time | Level: Not Applicable] OverviewWhat You’ll Achieve:Design, develop, and maintain scalable data processing solutions across on-premises and cloud environments using
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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