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.
Business Translation: Work closely with stakeholders to identify high-value use cases and translate vague business problems into concrete technical roadmaps. Data Engineering & Wrangling: Design and optimize data…
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Business Translation: Work closely with stakeholders to identify high-value use cases and translate vague business problems into concrete technical roadmaps. Data Engineering & Wrangling: Design and optimize data pipelines and feature stores, ensuring data quality and integrity across diverse environments (SQL, NoSQL, Data Lakes).
This is a hands-on Data Architect role for someone who enjoys building and owning data platforms, not just designing them. What you’ll be doing Owning and evolving the Azure data architecture across core financial and…
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This is a hands-on Data Architect role for someone who enjoys building and owning data platforms, not just designing them. What you’ll be doing Owning and evolving the Azure data architecture across core financial and investment systems Designing and building data models, pipelines, integrations, and lakehouse solutions Supporting complex financial and investment data flows Leading data migrations and platform uplift initiatives Working closely with technical and business stakeholders in a small, collaborative environment Remaining hands-on across design, build, troubleshooting, and optimisation What we’re looking for Strong, hands-on Azure data experience (this must be your core platform) Background in financial services, investments, wealth, superannuation, or fintech Experience working with complex, high-volume financial data Solid experience with: Azure (Fabric, Synapse, Data Factory, ADLS) SQL and Python Data modelling, ETL, and lakehouse architectures An architect who is still on the tools, not someone removed from delivery Comfortable operating autonomously in a lean, fast-moving environment Show less [{"type":"people_also_viewed","href":"https://au..com/jobs/view/senior-data-engineer-at-bunnings-4371252542","jobId":"4371252542","label":"Senior Data Engineer"},{"type":"people_also_viewed","href":"https://au..com/jobs/view/senior-data-engineer-data-intelligence-data-products-at-culture-amp-4356472762","jobId":"4356472762","label":"Senior Data Engineer - Data Intelligence - Data Products"},{"type":"people_also_viewed","href":"https://au..com/jobs/view/senior-data-engineer-at-for-purpose-aged-care-australia-4364540985","jobId":"4364540985","label":"Senior Data Engineer"},{"type":"people_also_viewed","href":"https://au..com/jobs/view/senior-data-engineer-at-pay-com-au-4368978465","jobId":"4368978465","label":"Senior Data Engineer"},{"type":"people_also_viewed","href":"https://au..com/jobs/view/senior-data-engineer-gcp-dbt-and-airflow-ai-and-data-technology-consulting-at-ey-4361709028","jobId":"4361709028","label":"Senior Data Engineer (GCP, dbt and Airflow...
Salesforce Technical Architects collaborate with Customers and Partners during project cycles to share their extensive knowledge of the Salesforce.com platform and product suite. Guide the evaluation of business and…
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Salesforce Technical Architects collaborate with Customers and Partners during project cycles to share their extensive knowledge of the Salesforce.com platform and product suite. Guide the evaluation of business and technical requirements.
If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. You will spend your time working directly with technical stakeholders, leading technical…
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If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. You will spend your time working directly with technical stakeholders, leading technical conversations, and ensuring Enterprise customers clearly understand how n8n fits into their systems and processes.
Effectively communicate the core advantages of Tencent Cloud’s big data suite to drive cloud migration and architecture upgrades. * Strong knowledge of big data architecture, including Data Lake (Iceberg, Hudi) and…
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Effectively communicate the core advantages of Tencent Cloud’s big data suite to drive cloud migration and architecture upgrades. * Strong knowledge of big data architecture, including Data Lake (Iceberg, Hudi) and Serverless data concepts.
Effectively communicate the core advantages of Tencent Cloud’s big data suite to drive cloud migration and architecture upgrades. * Strong knowledge of big data architecture, including Data Lake (Iceberg, Hudi) and…
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Effectively communicate the core advantages of Tencent Cloud’s big data suite to drive cloud migration and architecture upgrades. * Strong knowledge of big data architecture, including Data Lake (Iceberg, Hudi) and Serverless data concepts.
You will work closely with data scientists, machine learning engineers, data engineers, and Product specialists to take Consumer Canvas to the next level. Data Platforms & Tools: Hands-on experience with Snowflake data…
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You will work closely with data scientists, machine learning engineers, data engineers, and Product specialists to take Consumer Canvas to the next level. Data Platforms & Tools: Hands-on experience with Snowflake data processing environments, especially Snowflake Data Clean Rooms Hands-on experience with Databricks data processing environments Familiarity with data engineering Medallion Architecture (Bronze/Silver/Gold) Experience with Big Data technologies and patterns Programming & Modeling: Expert SQL experience Data modeling and data design Hands-on experience with Python, Pyspark, Jupyter Notebooks, and Python environment controllers (Poetry, PipEnv) Hands-on experience with Spark Governance & Security: Experience handling PII data and managing governance of such data DevOps & CI/CD: Hands-on experience with any of these code versioning tools (GitHub, Azure DevOps, Bitbucket, etc.) Communication & Collaboration: Strong written and verbal com...
Data Management – Senior SAP Data Migration Consultant NTT DATA Business Solutions – Famous for Data About NTT DATA Business Solutions: About NTT DATA Business Solutions: NTT DATA Business Solutions Group is part of the…
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Data Management – Senior SAP Data Migration Consultant NTT DATA Business Solutions – Famous for Data About NTT DATA Business Solutions: About NTT DATA Business Solutions: NTT DATA Business Solutions Group is part of the NTT DATA Corporate Group, a top 10 global IT services provider headquartered in Tokyo, operating in more than 50 countries. Job Summary: Following recent market growth and acquisitions, NTT DATA Business Solutions is expanding its data services portfolio.
Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data…
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Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence.
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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?
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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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