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An early core engineer at an AI-first investment startup in Singapore, owning data infrastructure end-to-end — building ingestion and processing pipelines, data models, and LLM applications with cloud-native design. Core stack: Python, SQL, LLMs, and cloud-native tooling.
Junior software engineer joining the payment team to build and maintain Java/Spring Boot microservices handling payment flows, settlements, open items, dunning and collections, with some React frontend work and cloud operations on Azure/AWS. Position is in Hamburg or 100% remote within Germany.
Software Engineer joining Nitrobox's payment team to design, build, and operate Java/Spring Boot microservices handling payment flows (PSP integrations, settlements, open items, dunning), plus React/TypeScript UIs, monitoring, and Azure/AWS cloud operations. Based in Hamburg or 100% remote within Germany.
Senior Data Engineer at OCBC Group in Singapore designing scalable, real-time data pipelines and lakehouse architecture on a cloud platform. Day to day involves Spark/PySpark, Iceberg, Python-based ETL/ELT, SQL migration, streaming, and data governance using open catalogues, working closely with analysts and data scientists.
Technology Consulting role at EY serving financial institutions: the consultant designs and builds Generative AI solutions day to day — GenAI architecture, experimentation and model improvement, code quality, and production support — using Python, React, LLM frameworks (LangChain, Ragas, langfuse) and cloud platforms such as AWS/Azure.
Senior Data Engineer at OCBC (a Singapore bank) designing cloud-native data pipelines and lakehouse solutions using Spark, Apache Iceberg, and OpenMetadata/DataHub. Day to day: streaming processing, migrating SQL workloads to cloud architectures, and building automated data quality checks in Python and SQL.
Senior Data Engineer at OCBC Bank in Singapore designing cloud-native data pipelines and lakehouse solutions with Apache Iceberg, Spark, and PySpark. The role involves migrating legacy workloads to cloud-native architectures, enabling scalable real-time analytics, and building automation, data quality checks, and monitoring with Open Metadata governance.
Cyber Data Engineer at Morgan Stanley in Singapore, strengthening APAC cyber engineering coverage by building and automating large-scale security analytics platforms that ingest, transform, store, and expose security event data for detection, investigation, and response. Focus areas: platform engineering, automation, data onboarding, troubleshooting, and operational resilience.
Senior Data Engineer at OCBC Bank in Singapore designing cloud-native data pipelines, lakehouse solutions with Apache Iceberg, and real-time Spark streaming systems, plus migrating legacy SQL workloads and implementing data governance/catalogue frameworks. Requires hands-on experience with Spark, PySpark, Python, SQL, and Linux on a major cloud platform.
Senior Data Engineer at OCBC in Singapore designing cloud-native data pipelines and lakehouses (Apache Iceberg), real-time streaming with Spark/PySpark, and ETL/ELT automation, plus data governance/catalog tooling, for one of Asia's leading banks.
Maintains and monitors global trading systems for a quantitative investment firm, ensuring 24/7 stability across Asian and European markets with Python-based automation and incident response.
Q-tech is hiring a Data Platform Engineer (Snowflake) in Madrid for a leading international financial services firm. The role designs, builds, and maintains a secure, scalable cloud data platform using Snowflake, Terraform, dbt, Airflow, and Python/Java, covering data ingestion, transformation, and distribution.
Full-stack developer joining an international digital transformation project in the financial sector, working hybrid in Barcelona. Day to day involves building backend services with Java/Spring Boot, frontend work in React/Angular, and designing REST APIs, with a focus on architecture and technical solutions.
Shakers is hiring a Senior Full Stack Engineer for a FinTech platform: building client portals, backend services, and REST APIs with real ownership of architecture, security, and performance decisions. Hybrid role based two days a week from the Madrid (Retiro) office, including code reviews, mentoring juniors, and AI-assisted delivery.
Technical lead for data engineering and BI on an international insurance project: migrating data models to a Data Lake, integrating corporate applications, and building ingestion/transformation pipelines in Azure and Databricks, while delivering Power BI dashboards for stakeholders and management.
Mid/senior Java backend developer at UST building software for a global wealth-management client. Day to day: develop and test backend services in Java, with REST, Oracle SQL and Kafka experience valued; hybrid schedule in Madrid (3 days office, 2 remote) and paid training on the Actico platform.
A Business Analyst maps and optimizes complex financial services processes using BPMN, swimlane diagrams, and Visio/Lucid, collaborating with stakeholders to design a Target Operating Model.
Designs and maintains data pipelines, SQL queries, and APIs to integrate and process large datasets for a leading Ukrainian bank, using Python, cloud platforms, and Big Data tools.
Technical Lead on London Stock Exchange's Engineering Excellence & Productivity (EXP) team within Developer Platforms, enabling rapid developer onboarding and secure, compliant delivery. Day to day: designing CI/CD pipelines, integrating security across cloud environments, and mentoring engineers while collaborating with global teams.
Senior QA Engineer builds and maintains automated E2E and API tests for a next-gen decentralized exchange, ensuring trading logic, performance, and reliability under real-world conditions.
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