Python developer állások VIII. kerületben (adminisztráció, asszisztens, irodai munka)

• Aktuárius gyakornokként nem-élet aktuáriusi, riportálási feladatokban vehetsz részt
• Pénzügyi gyakornokként tapasztalatot szerezhetsz a klasszikus és biztosításspecifikus számvitel és adózás, továbbá a biztosító treasury területén

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...

• Working on complex and extremely varied data sets from some of the world’s largest organizations to solve real-world problems
• Developing high-quality data science products and solutions for clients as well as assets for internal data teams, focusing on modeling

• Assisting in integrating data from various sources (e.g. APIs, databases, files) into centralized data platforms
• Ensuring the quality and availability of data across data pipelines and storage systems
• Supporting the implementation of data models and data warehouse solutions

• Translating business requirements from internal teams and clients into clearly defined KPIs, metrics and visualizations
• Building and maintaining semantic and analytical data models on top of the data warehouse
• Writing and optimizing SQL queries, views and calculated measures for reporting use cases

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

• Establishing data feeds with custodian banks, data vendors, and other service providers
• Supporting senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automating and centralizing existing data integration processes

Acting as the strategic bridge between business stakeholders and technical developers, ensuring clear communication, alignment of expectations, and the facilitation of requirement review sessions...

• Configuring the P&P platform end to end, across both frontend and backend
• Tuning and optimizing forecast and attribution models to match client data and business logic
• Writing custom business logic in SQL, Python, or Go where standard configuration isn’t enough

Developing a thorough understanding of the Sage Workplace Management operating model, contractual requirements and reporting objectives to support successful contract delivery...

• Designing and implementing pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Actively monitoring and optimizing pipelines for performance and cost
• Configuring pipeline deployments and managing environment settings using IaC tools (Terraform) and CI/CD

• 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

• 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

• Supporting the migration of ETL pipelines between source systems and Snowflake
• Using SQL to validate data, check data quality, reconcile datasets, and identify discrepancies
• Monitoring pipeline executions, investigating issues, and helping resolve technical blockers

• Leading a Snowflake migration project, supporting the migration of ETL pipelines between source systems and Snowflake
• Assigning tasks, tracking progress, and ensuring smooth day-to-day delivery

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...

• Improving operational efficiency through process optimization, automation, and the adoption of new technologies
• Understanding the company's data warehouse and helping align data flows with reporting requirements

• Designing and implementing modern data architectures and lakehouse solutions (Databricks, Snowflake, Azure, AWS)
• Providing technical leadership throughout the project lifecycle and collaborating with business stakeholders

• 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