Analytics data analytics állások Budapesten (it programozás, fejlesztés)

Design, implement, and evolve platform architecture processes and their integration with connected enterprise systems Develop, enhance, and maintain automation modules and frameworks primarily using PowerShell and C# Build and manage automation tools and scripts leveraging REST APIs to integrate...

Daily data production and quality assurance for client-facing data products Vendor data integration and management Methodology implementations, historical restatements, and platform migrations Data quality investigation including pricing errors, model performance, and analytical discrepancies...

Support daily data production workflows across multiple asset classes including fixed income curves, futures, derivatives, and equity analytics Perform quality assurance checks on incoming vendor data and internally generated analytics Investigate data quality issues such as pricing discrepancies,...

Dashboard development for sustainability data visualization Data integration from internal databases, external APIs, and third-party platforms Client reporting collaboration with sustainability team Data analysis to identify trends, patterns, and insights Quality assurance of data in dashboards and...

Maintaining and evolving existing data platform Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect Development and maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams Applying transformations to...

Build and maintain data models and pipelines primarily using AI coding tools with consistent best-practice patterns, clear documentation, and high-quality standards Build and improve agentic coding workflows to accelerate data modeling and testing while staying in the loop on business logic,...

Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform Collaboration with the Architect in design discussions and proposals Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Integration of data ingestion, processing,...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Design, develop, and maintain scalable web applications and backend services to support trading operations Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions Implement and optimize high-performance APIs,...

Design, develop, and maintain scalable web applications and backend services to support trading operations Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions Implement and optimize high-performance APIs,...

Design Azure cloud infrastructure to support Databricks and data platform workloads Implement Azure cloud infrastructure to support Databricks and data platform workloads Manage Azure cloud infrastructure to support Databricks and data platform workloads Build Azure resources including Resource...

Setting the strategic direction for IT & Cyber Risk product area Owning the product vision, roadmap, and outcomes for IT & Cyber Risk on the Diligent One Platform Partnering with engineering, design, data science, and senior leadership to build products for CISOs, risk managers, and boards Shaping...

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...

Outbound and inbound lead generation campaigns execution through HubSpot and LinkedIn Sales Navigator Research and identification of potential clients in target industries such as IT services, fintech, manufacturing, and enterprise transformation Creation and automation of personalized email...

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...