Data engineer állások, munkák it programozás, fejlesztés területen

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

Backend Services Development, Optimisation, and Maintenance Using Java (Spring Boot) Design Decisions Contribution for New and Existing Projects Application Deployment and Scaling in AWS (ECS, Lambda, S3, DynamoDB, etc.) System Observability Enhancement with Real-Time Monitoring and Logging Using...

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...

• Take ownership of data engineering initiatives within projects and act as a technical lead towards customers
• Design, build and evolve scalable data platforms and architectures aligned with business goals

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

Daily operations ensuring seamless and timely data flow to product pages Identification of opportunities to enhance data pipelines and alerting mechanisms Collaboration with internal and external teams to resolve issues and deliver tactical and strategic initiatives Application of quality...

Collaboration with engineers, project managers, technical leads, business owners and analysts throughout the software development lifecycle Design and implementation of new features in the core product’s data platform and suspicious activity identifying mechanism Improvement of resiliency,...

Senior Data Solution Engineer Job Description Join our team as a Senior Data Solution Engineer and turn data into business-ready insights. You will architect and deliver domain data marts, semantic models, and Power BI solutions that make data accessible, bridging business needs with robust data...

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...

Scalable Data Pipelines: Design, build, and operate automated pipelines on Apache Airflow to transform largescale automotive datasets reliably and on schedule....

• Conceptualizing secure workflows for international submission of sensitive medical imaging data
• Defining architectural concepts for the benchmarking and evaluation platform, including controlled and secure execution of externally submitted models

Acting as Release Engineer / Technical Lead for one of Ambu's core AI/ML initiatives, providing technical direction and ensuring alignment across software, algorithms, systems, and regulatory requirements....

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding....

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...

Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets Building reusable QA tools in...

Design, implement, and optimize machine learning models to solve complex business problems Oversee the entire machine learning lifecycle from data collection and pre-processing to model deployment and monitoring Collaboration with data scientists, software engineers, and product managers to...

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

Build And Maintain Data Models And Pipelines Primarily Using AI Coding Tools Build And Improve Agentic Coding Workflows To Accelerate Data Modeling And Testing Partner With Stakeholders To Surface Conflicting Metric Definitions And Run Alignment Workshops Define And Enforce Data Quality Standards...