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Designs and maintains scalable data pipelines and infrastructure on AWS to enable teams to build reliable datasets autonomously using SQL and Python.
Builds and maintains a Java/Angular platform that monitors and manages issuances with AI-native features, cloud-native tooling, and enterprise-grade security.
Build and maintain full-stack web apps using Vue 3, Node.js and TypeScript in agile teams, writing tests and collaborating via GitLab/Jira.
Build and maintain a modern data platform in AWS/Snowflake, design robust pipelines with Python/SQL/dbt, and enable analytics across Bitpanda’s crypto and wealth products.
Builds and leads a Django/React SaaS platform that uses AI to help independent food & beverage businesses grow, be discovered, and serve guests, with multi-tenant cloud hosting on GCP.
Designs and builds scalable data pipelines on GCP for a capital-markets fintech, integrating financial data sources and optimizing warehouse/lake solutions.
Build and own full-stack features for Elastic’s public website, writing TypeScript/React on the frontend and Node.js/Python/Go on the backend in a distributed environment.
Build and maintain the data stack for a health/beauty ecommerce company, including BigQuery pipelines, Looker Studio dashboards, and marketing attribution models to drive smarter decisions.
Build internal SaaS tools and customer-facing features as a junior full-stack engineer using APIs, backend, and frontend stacks.
Build and optimize scalable data pipelines and analytics infrastructure using Python, Spark, Airflow, and ClickHouse to power Atolls' global shopping platform.
Senior Full-Stack Engineer building a B2B SaaS platform for events, using Node/React/TypeScript, AWS, Terraform, and AI tools in a hybrid Barcelona role.
Builds and maintains web apps for an international health-tech project using Angular, TypeScript, and Node.js in a hybrid role.
Build and optimize large-scale data pipelines for aerospace and defense clients using Python, Spark, and PostgreSQL on Cloudera/Hadoop clusters.
Builds scalable data pipelines and AI-driven analytics for a loyalty app with 130M users, using Databricks, Airflow, Python, SQL, and databases.
Lead a team to build and maintain Azure-based data pipelines and storage, ensuring performance and quality while mentoring engineers.
Build and maintain a Kotlin backend and React/TypeScript frontend for a European fintech’s corporate card platform, using AI-native engineering practices and AWS/GCP infrastructure.
Build and optimize Azure-based data pipelines and ETL workflows using Synapse, PySpark, and Databricks to ingest and process large-scale datasets.
Build and own end-to-end features for Ashby’s HR tech product, solving customer problems with full-stack development and cross-team collaboration.
Build and maintain cloud-native data pipelines on AWS, design scalable data lakes, and optimize relational/NoSQL databases to support energy-transition analytics and reporting.
Build and maintain financial data pipelines that feed an investment analytics platform, ensuring reliable data flow and quality for trading decisions.
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