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Design and build GCP/BigQuery data architectures for AI-driven mainframe modernization, creating scalable pipelines that support legacy COBOL systems re-platformed in Java, Go, or .NET.
Leads cloud modernization of legacy/mainframe systems (e.g., COBOL to Java/Go/.NET) on GCP, designing data architectures with BigQuery and pipelines while collaborating with global clients and engineering teams.
Build and maintain GCP cloud infrastructure for AI-driven mainframe modernization projects, implementing data pipelines with BigQuery and collaborating on legacy COBOL-to-Java/Go/.NET migrations.
Build and maintain GCP-based platform infrastructure for AI-driven mainframe modernization, including data pipelines with BigQuery, to support Java/Go/.NET applications at scale.
Lead the design and deployment of scalable MLOps pipelines on GCP using Vertex AI, Kubeflow, and Airflow to move ML models from concept to production.
Builds and optimizes scalable data pipelines on GCP using Dataflow, Airflow, and BigQuery for reliable ETL/ELT workflows.
Credem, tra i gruppi bancari più solidi d'Italia, cerca un Risk Data Scientist per rafforzare la propria area Risk Management in un momento di trasformazione profonda dei sistemi dati. Ti occuperai di: Sviluppare e…
Senior QA Engineer responsible for designing and executing automated test frameworks (Python/Selenium/Playwright) to ensure product quality, reliability, and performance across UI, API, and database layers in a healthcare advertising SaaS platform.
Build and scale data pipelines, APIs, and distributed systems in Java/Spring Boot to power healthcare advertising analytics and reporting for DeepIntent.
Build and scale ETL/ELT pipelines, real-time streaming, and data infrastructure to power fraud-detection AI models using Python, Airflow, BigQuery, and dbt.
About Vatix Vatix is a fast-growing SaaS company founded in London and Kraków in 2019. We're on a mission to bring a fresh, user-centric approach to the world of Governance, Risk, and Compliance software, with a…
Build fraud-detection rules and risk models using BigQuery/SQL and Python, then visualize findings in Grafana to protect a SaaS identity platform serving banking, fintech, and gaming clients.
Build and maintain software systems that ingest, process, and integrate experimental data for a generative biology company, using Python, cloud-native tools, and APIs to connect wet lab workflows to data platforms.
About Sisense Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications…
Build AI-powered systems and internal tools to automate secondhand fashion supply chains, integrating marketplace data with agentic infrastructure for resellers and retailers.
Build and evolve Neo4j’s Snowflake Native App, embedding graph analytics into Snowflake via SQL-facing APIs, Java/Python runtimes, and containerized deployments for enterprise data teams.
Build and maintain scalable data pipelines, event streaming, and Gold Layer data marts for Just Eat Takeaway.com’s retail media platform using BigQuery, dbt, Airflow, and AI-assisted tools.
Build and optimize backend services in Go for Semrush’s enterprise marketing platform, focusing on APIs, distributed systems, and CI/CD while mentoring peers.
Designs, builds, and optimizes GCP-based data pipelines and BigQuery solutions for a banking client, ensuring efficient data access and analytics.
Build and maintain Hadoop-based data pipelines for a bank, writing Python and SQL to process and validate financial data.
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