Sql fejlesztő állások, munkák

• Actively build and maintain advanced financial models and client reporting
• Maintain and further develop forecasting tools to support cash flow planning

work independently as part of a dynamic and high-performance software team (approx. 45 engineers in several sub-teams across Switzerland and ) and help the team achieve its goals...

• Delivering independently Data Science projects with an end-to-end product-oriented mindset
• Engaging directly with clients to understand their business objectives and translate them into technical requirements

Supporting business and marketing decisions with data-driven solutions, developing predictive models such as churn scoring to drive retention offers and product propensity scoring to realise additional value for customers...

• Designing, developing, and maintaining data ingestion and processing pipelines across different data platforms
• Developing and optimizing batch and streaming data pipelines using Python, SQL, and distributed processing technologies

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Leading the design and implementation of scalable data pipelines and Lakehouse architectures as the Design Authority
• Solving the hardest technical challenges—optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

Second-Line Oversight: Provide independent oversight and constructive challenge of the Consumer Deposits operational risk profile. Review and challenge first-line risk assessments, control design and effectiveness conclusions, ratings, remediation plans, and risk-acceptance decisions, escalating...

• Pentest folyamatok részleges automatizálása
• Sérülékenységvizsgálati eredmények AI-alapú feldolgozása
• Saját tudásbázis és RAG-rendszer kialakítása
• Pentest jelentések automatikus generálása
• Eredmények strukturálása, validálása és priorizálása
• On-premise LLM-alapú rendszer fejlesztése

• Implementing end-to-end analytics and dynamic visualizations in Tableau, ThoughtSpot, SAP Analytics Cloud, or equivalent enterprise BI platforms
• Preparing, transforming, and modeling data using SQL, Python, or dbt leveraging enterprise cloud environments like Snowflake and Microsoft Azure

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• Advise business stakeholders on data-driven opportunities and solutions that support informed decision-making, digitalization, and business growth
• Design end-to-end data solutions for business use cases, from data ingestion and transformation to reusable data products

• Szakmai vezetés és irányítás
• Komplex ügyféligények önálló átlátása, strukturálása és végrehajtási tervvé alakítása
• Szakmai iránymutatás adása az ügyfélnek és a csapattagoknak – architekturális döntések, technológiai választások, megoldási alternatívák értékelése

• Design, build and run backend services in Go, from concept through to production and beyond
• Shape the architecture of our content platforms and our ad tech stack, with a focus on performance, reliability, security and simplicity

• Write code that is simple, readable, testable, and maintainable, whether you write it yourself or with the help of AI tools
• Conduct code reviews, give helpful feedback, actively contribute in team discussions and decisions

Owning the implementation and continuous improvement of prescriptive models that drive inventory and procurement decisions across Abacus Medicine's pharmaceutical trading activities....

• Ügyféligények megértése, egyeztetése majd ezek alapján részletes funkcionális specifikáció készítése
• Fejlesztési folyamat támogatása
• Tesztesetek, tesztelési forgatókönyvek készítése, közreműködés a tesztelések végrehajtásában, folyamatos kapcsolattartás az üzleti területekkel

• Design, develop, and maintain enterprise-wide data models for analytical and reporting purposes.
• Develop and maintain data integration and transformation processes using SQL, Power Query, and ETL/ELT tools such as Azure Data Factory.

Designing and implementing enterprise-scale data pipelines and advanced analytics dashboards, including solutions powered by artificial intelligence-enabled analytics tools such as Microsoft Copilot Agents and Claude...