London leads UK tech hiring, followed by Manchester, Edinburgh, and Bristol. The UK market features strong fintech, media, and deep-tech sectors, with competitive compensation relative to European peers.
Lead Enterprise Data Architect - Oracle Fusion London - 2 days day/week onsite 18 month FTC £140 - £170k DOE Additional benefits including Bonus We are looking for an experienced Enterprise Data Architect to lead the…
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Lead Enterprise Data Architect - Oracle Fusion London - 2 days day/week onsite 18 month FTC £140 - £170k DOE Additional benefits including Bonus We are looking for an experienced Enterprise Data Architect to lead the design, governance, and optimisation of data across their new Oracle Fusion Cloud environment. Key Responsibilities: Own the end‑to‑end data architecture for Oracle Fusion Cloud applications Design and govern data models, data flows, and integration patterns across Fusion modules Define and enforce data standards, quality rules, and master data management principles Lead data migration activities including data mapping, cleansing, validation, and reconciliation Provide architectural oversight for integrations using OIC, REST/SOAP APIs, and third‑party systems Support reporting and analytics using OTBI, BI Publisher, and downstream data platforms Act as a subject‑matter expert for Oracle Fusion data structures and release impacts Collaborate with security, functional, and testing teams to ensure compliant and reliable data usage The role will be based out of their London office with occasional travel to sites in the UK.
Lead the end-to-end data architecture design, from data ingestion through transformation to reporting layers. Work with data engineering teams to implement dbt-based data pipelines for data transformation and lineage…
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Lead the end-to-end data architecture design, from data ingestion through transformation to reporting layers. Work with data engineering teams to implement dbt-based data pipelines for data transformation and lineage tracking.
Role Overview This role exists to own and elevate the company’s internal data and systems landscape end-to-end. Key expectations: Improve data consistency, definitions, and governance across systems.
Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements Previous experience with the preparation of high-quality…
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Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements Previous experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level, ability to adapt the message to the customer feedback, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable requirements: Experience in Data analysis and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,… Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc.
Strong Azure data platform experience: Hands-on expertise with Azure Data Lake Gen2, Azure Functions (serverless), and Cosmos DB / NoSQL technologies. Real-world data problem solving: Demonst...
Data Architect - Azure Data Engineering Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Please visit Fractal Intelligence for Imagination for…
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Data Architect - Azure Data Engineering Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Please visit Fractal Intelligence for Imagination for more information about Fractal Location: London Core Technical Responsibilities Design and build end-to-end data pipelines (batch and near real-time) using PySpark, Databricks, and Azure Data Platform (ADF, ADLS, Synapse) Be hands-on in development, debugging, optimization, and production support of data pipelines Work with or extend existing/proprietary ETL frameworks (e.g., Mar's Simpel or similar) and improve performance and reliability Implement data modeling, transformation, and orchestration patterns aligned with best practices Apply data engineering fundamentals including partitioning, indexing, caching, cost optimization, and performance tuning Collaborate with upstream and downstream teams to ensure data quality, reliability, and SLAs Architecture & Design Contribute to the design of cloud-native data architectures covering ingestion, processing, storage, and consumption Translate business and analytical requirements into practical, scalable data solutions Support data governance practices including metadata, lineage, data quality checks, and access controls Work within hybrid environments (on-prem to cloud) and support modernization initiatives Understand and apply data mesh concepts where relevant (domain ownership, reusable data products, basic contracts) Evaluate tools and frameworks with a build vs.
Support data models governance process and ER/Idera repository Contribute to data dictionaries and business glossaries Data Lineage diagrams and Data mapping Key skills/requirements Technical Very strong Data…
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Support data models governance process and ER/Idera repository Contribute to data dictionaries and business glossaries Data Lineage diagrams and Data mapping Key skills/requirements Technical Very strong Data Architecture & data modelling skills. Understanding of data management concepts such as data analysis, traceability, lineage, system of record and authority, master data and reference data.
This Data Architect opportunity sits at the intersection of data strategy, software architecture, and enterprise design. Key Responsibilities Define and own end-to-end data architecture for complex, large-scale…
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This Data Architect opportunity sits at the intersection of data strategy, software architecture, and enterprise design. Key Responsibilities Define and own end-to-end data architecture for complex, large-scale programmes Lead the creation of enterprise-wide data strategies, including data migration, integration, and governance approaches Design logical and physical data models supporting both structured and unstructured data Establish architectural standards, principles, and guidelines to direct solution delivery Propose and design data storage solutions for distributed, cloud-based, and microservices-driven architectures Ensure architectural compliance throughout delivery and support technical governance Provide technical leadership and mentorship to engineers and other architects Engage with senior stakeholders to translate business needs into clear, actionable data designs Required Experience & Skills 7+ years of experience in data architecture or closely related roles A background in software, ideally Java and REST Services Strong background in data strategy, data modelling, and enterprise data design Proven experience designing data solutions aligned to modern software architectures Solid understanding of distributed systems, microservices, and big data platforms Experience working across cloud-based data ecosystems (ideally Azure) Ability to operate at both strategic and hands-on levels when required Excellent communication skills, with the ability to articulate complex technical concepts to non-technical audiences If you are a senior Data Architect who thrives on shaping data strategy and designing resilient, enterprise-grade solutions, apply today.
Key Responsibilities: Architecture Design: Design the target architecture for OpenShift, including cluster topology, networking, and storage solutions. Design and implement OpenShift solutions that integrate seamlessly…
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Key Responsibilities: Architecture Design: Design the target architecture for OpenShift, including cluster topology, networking, and storage solutions. Design and implement OpenShift solutions that integrate seamlessly with VMware virtualized environments.
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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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Do roles include salary estimates?
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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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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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