Data analytics senior állások Budapesten (it programozás, fejlesztés)

• Collaborate with business stakeholders to identify opportunities and translate business challenges into actionable Data Science and AI use cases.
• Design, develop and evaluate machine learning models using statistical methods, supervised and unsupervised learning techniques.

• Design, maintain, and evolve robust, scalable data architectures aligned with business and digital transformation objectives
• Build and optimize high‑performance data models for analytics
• Act as a strategic partner to business and engineering teams to shape data solutions end‑to‑end

Developing and continuously enhancing Continuous Auditing (CA) methodologies, including report-based and data-driven auditing approaches...

• Design, build, and maintain high-quality front-end experiences across web, mobile, and connected TV platforms (tvOS, Android TV / Fire TV, Samsung Tizen, LG webOS)
• Take the lead on solution and feature design – bringing well-reasoned technical proposals and seeing them through to delivery

• Act as the escalation point and lead investigator for high-impact data exceptions, breaks, and reconciliations.
• Systematically trace end-to-end data lineage across multi-hop data pipelines (ingestion, staging, transformation, reporting layers) to isolate defect origins.

• Maintain, enhance, and develop Power BI dashboards used by business stakeholders
• Participate in testing and implementation activities related to AI-enabled solutions and functionalities
• Support the Reporting CoE in delivering internal performance reporting and business insights

Develop large-scale distributed systems to compute and report intra-day and eod-of-day risks, PnL (Profit and Loss) and market scenarios to senior management, trading desks, controllers, and market risk department;...

• Owning and managing the product backlog
• Defining, refining, and prioritising user stories with clear acceptance criteria in close collaboration with the development team

Designing, developing, and maintaining interactive Power BI dashboards and reports to support spend analysis, supplier performance, contract lifecycle management, and procurement KPIs...

• Running the team handling data subject rights requests (DSRRs), making sure work is prioritised, queues remain healthy and requests are completed accurately and within statutory deadlines
• Providing regular coaching and feedback, helping people build their skills and progress in their careers

• Leading data projects across the EMEA region, including initiatives leveraging Artificial Intelligence and automation
• Leading and delivering innovation and transformation projects, from scoping through to measurable business impact

• Designing, building, and maintaining large-scale distributed data systems
• Developing data processing pipelines using technologies such as Spark and streaming solutions
• Working on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

Implementing and maintaining large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals...

• Designing, implementing, and managing Azure cloud infrastructure to support Databricks and data platform workloads
• Building and maintaining Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations

• Supporting client projects in reporting transformation and AI-enabled analytics with a consulting-first approach
• Contributing to discovery, design, and MVP delivery, documenting findings and shaping recommendations

• Analysing new requirements from stakeholders and designing innovative solutions
• Acting as one of the Global Product Owner for the different Financial Planning modules in SAP Analytics Cloud (SAC)
• Ensuring the template is robust, scalable and user-friendly

Developing and running the Databricks practice by setting priorities, coordinating experts across divisions and organising shared initiatives...

• 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