Tech jobs
Job listings
Staff Backend Engineer
Lead architecture and scaling of Scala/Python backend systems that power AI-driven data agents, handling high-throughput pipelines and distributed services for enterprise intelligence.
Backend Engineer - Scalable Data Pipelines & Systems
Build and scale backend services and data pipelines in Scala and Python to keep AI systems fed with fresh data and APIs responsive.
Software Engineer
Designs, builds, and maintains backend services and data pipelines in Java, Scala, and Python for a client with Apple ties, requiring prior Apple experience.
Platform Engineer (Java)
Build and scale core backend systems in Java for Revolut’s financial super app, focusing on high-throughput, concurrent code and distributed infrastructure used across the company.
AWS Data Engineer
Build and maintain AWS-based data pipelines and infrastructure, migrating workloads to scalable cloud environments and setting up monitoring and CI/CD for analytics and ML workloads.
Senior Software Engineer / Lead Software Engineer (Big Data) @ Antal
Build and maintain large-scale data platforms and ETL pipelines for risk/compliance surveillance in a global banking team using Spark, Java/Scala, and cloud tools.
Data Engineer (Azure / Python / ETL) – Remote @ Square One Resources
Support the development of modern data solutions within a large-scale Azure environment Build and maintain reliable data pipelines, ensuring high-quality data processing and enabling advanced analytics and business…
Data Engineer - Poland, Poland
Build and maintain a cloud-based lakehouse data architecture for Aon’s Commercial Risk Solutions, designing scalable ETL pipelines and ensuring data quality for analytics.
Senior Full-stack Developer @ Lemon.io
Senior full-stack developer matching with startups; builds web apps using Python, React, and cloud platforms (AWS/GCP/Azure) in a remote, client-facing marketplace role.
DevOps Engineer @ Zowie
Build and maintain AWS/GCP infrastructure, CI/CD pipelines, and observability for a scalable AI agent platform serving enterprise clients.
Senior data scientist (ova5666)
Design and deploy enterprise-scale graph AI platforms on AKS using TigerGraph, building GNNs, knowledge graphs, and fraud-detection solutions with Python, Kubernetes, and Azure.
Backend Software Engineer - Product Engineering
Build and scale high-performance backend systems and APIs for a global adtech platform serving billions of requests daily, using languages like C#, Python, or Java.
Software Engineer - Full Stack
Build and scale full-stack digital products for Coca-Cola’s global marketing and consumer platforms using JavaScript/TypeScript, React, Node.js, and cloud services to drive engagement, loyalty, and data-driven automation.
Software Engineer (Java Backend)
Build and maintain Java-based backend services for Revolut’s fintech platform, focusing on APIs, microservices, and systems like fraud detection and payments.
Cloud & Martech Data Architect
Design and implement cloud-based martech data architectures for data-driven marketing, integrating platforms like Google Marketing Platform, Adobe, and Salesforce.
Senior Backend Engineer — Scalable Data Pipelines
Design and scale backend services and data pipelines that integrate hardware, ML, and mobile platforms using Java/Scala/Kotlin, Python, or NodeJS/TypeScript.
Ai / Data Engineer
Build, validate, and deploy real-time ML models for credit scoring, fraud detection, and risk modeling that power AI agents in finance. Core stack: Python, PyTorch/TensorFlow, AWS.
Martech Data Engineer
Builds and optimizes cloud-based marketing data pipelines on Google Cloud, transforming raw data into clean, structured datasets for analytics, BI, and ML models in Martech environments.
Gcp Data Engineer/Data Architect
Designs and builds scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights while ensuring security, compliance, and efficiency.
Ai Data Engineer
Designs and builds large-scale data pipelines using Apache Spark and Azure, then applies ML techniques (regression, clustering, anomaly detection) to fashion, geospatial and industrial datasets.