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.
We are looking for a Lead DBA for one of our customer who has an expertise in:- Must have knowledge of IT concepts such as DB design, DB layout, DB structures, DB stored procedures, DB tables, DB optimization, TCP/IP,…
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We are looking for a Lead DBA for one of our customer who has an expertise in:- Must have knowledge of IT concepts such as DB design, DB layout, DB structures, DB stored procedures, DB tables, DB optimization, TCP/IP, IT security concepts and practices Must be an expert in SQL Server along with a good understanding of Oracle and knowledge of Informix, DB2, MongoDB, DynamoDB and any other databases Must be a self-starter with a great attitude, not afraid to take the initiative, and work with little supervision. GitHub, ServiceNow, Jira, MS Office, SQL, etc.
Contract Length: Initial 12 months Rate: Up to £320 per day (Inside IR35) Location: London (Hybrid 2 days onsite per week) We are looking for an experienced Senior Database Engineer/DBA to support the design,…
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Contract Length: Initial 12 months Rate: Up to £320 per day (Inside IR35) Location: London (Hybrid 2 days onsite per week) We are looking for an experienced Senior Database Engineer/DBA to support the design, optimisation and ongoing evolution of enterprise database platforms in a complex, regulated environment. Key Responsibilities Lead the design, development, optimisation, and support of database solutions Own performance tuning, schema design, and stored procedure development Support database upgrades, patching, migrations, and decommissioning activities Ensure database solutions align with architectural, operational, and risk standards Provide technical leadership through design reviews, best practices, and mentoring Collaborate closely with engineering, architecture, and delivery teams Drive automation and consistency through scripting and CI/CD pipelines Support cloud-hosted database platforms and contribute to cost optimisation initiatives Ensure quality, stability, and maintainability across all database deliverables Required Skills & Experience 5+ years experience working with Microsoft SQL Server and/or Sybase ASE Strong expertise in: Performance tuning Database design Stored procedure development Experience supporting database upgrades and production environments Hands-on experience in cloud environments (AWS preferred) Exposure to RDS and/or PostgreSQL Strong scripting skills (PowerShell and/or shell scripting) Experience working with CI/CD pipelines (eg Jenkins, GitLab) Familiarity with Infrastructure as Code tools (Terraform, Ansible) Linux and/or Windows system administration experience Background in software development and Agile delivery environments About Korn Ferry Korn Ferry unleashes potential in people, teams, and organizations.
You will play a pivotal role in enabling our Product Analysts to work with high-quality, reliable, and well-modelled data. You will work closely with Product Analysts, Data Engineers, and Product Managers to ensure data…
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You will play a pivotal role in enabling our Product Analysts to work with high-quality, reliable, and well-modelled data. You will work closely with Product Analysts, Data Engineers, and Product Managers to ensure data is actionable for product development, behavioral analysis, and operational efficiency.
Position: Senior Data Scientist Salary: £70,000 - £80,000 base + 12% flexible benefits Location: London, UK (Hybrid – 3 days in office, 2 remote) An FTSE-listed global FinTech company is looking to hire a Senior Data…
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Position: Senior Data Scientist Salary: £70,000 - £80,000 base + 12% flexible benefits Location: London, UK (Hybrid – 3 days in office, 2 remote) An FTSE-listed global FinTech company is looking to hire a Senior Data Scientist in their Trading & Operations function, with deep experience leading high‑impact data science projects end‑to‑end, from problem framing and exploratory analysis through modelling, experimentation and working with MLE. You’ll collaborate with data engineering, platforms, web, messaging, analytics, marketing, risk and product.
The Role They’re now hiring a Mid-Level Data Scientist to join a growing London-based Data Science team. There’s a strong emphasis on solid engineering fundamentals alongside classical data science skills.
Key Responsibilities Data Engineering & Pipelines Design, build, and operate data ingestion and transformation pipelines in Azure Data Factory / Fabric Data Factory. Skills & Experience (Required) Cloud & Platforms:…
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Key Responsibilities Data Engineering & Pipelines Design, build, and operate data ingestion and transformation pipelines in Azure Data Factory / Fabric Data Factory. Skills & Experience (Required) Cloud & Platforms: Azure (Data Factory / Fabric Data Factory; Fabric Lakehouse/Warehouse or Synapse/SQL DW).
Proficiency in Postgres, with experience managing sensitive data in a secure environment. Benefits The successful Data Engineer will receive the following benefits: £50,000–£60,000 salary, depending on experience.
Value Engineer – Data Engineering (AI/Palantir) - hybrid - London £80k-£100k We’re working with a fast-growing, AI-native consulting business that is building production-grade data foundations to power modern AI systems…
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Value Engineer – Data Engineering (AI/Palantir) - hybrid - London £80k-£100k We’re working with a fast-growing, AI-native consulting business that is building production-grade data foundations to power modern AI systems - including knowledge graphs, semantic layers, retrieval systems, and agentic workflows. The focus is on building high-quality, reliable, meaning-aware data pipelines that make AI systems usable, trustworthy, and scalable in real client environments.
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.
11 months contract/PAYE is £218.78 per day/hybrid/Onsite/London Job Title: Data Annotator / Data Analyst About The Role We are looking for a Data Annotator / Data Analyst to support the development and evaluation of AI…
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11 months contract/PAYE is £218.78 per day/hybrid/Onsite/London Job Title: Data Annotator / Data Analyst About The Role We are looking for a Data Annotator / Data Analyst to support the development and evaluation of AI and machine learning solutions. In this role, you will be responsible for annotating datasets, ensuring data quality, and collaborating with data scientists and engineers to improve model performance.
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.
EMEA Data Centre FM Services Lead London, Middle East or Frankfurt, Paris, Madrid JLL EMEA is targeting the Data Centre market as a strategic growth opportunity. Operational responsibility for Data Centre FM service…
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EMEA Data Centre FM Services Lead London, Middle East or Frankfurt, Paris, Madrid JLL EMEA is targeting the Data Centre market as a strategic growth opportunity. Operational responsibility for Data Centre FM service delivery.
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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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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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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.
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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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