Tech jobs
Job listings
DevOps Application Engineer: CI/CD & Automation
Build and maintain CI/CD pipelines and automation for financial-market infrastructure using GitLab, Ansible, ArgoCD, Airflow, and Python.
Senior Backend Spark Developer (Remote from Spain)
Build and optimize high-performance Big Data pipelines using Apache Spark (Scala/Python) on Azure Databricks, ensuring scalable data processing for enterprise clients.
Data Scientist - Applied AI (Go-To-Market) 12 Months Fixed Term
Build and deploy AI/ML models to optimize Trustpilot’s go-to-market strategy, pricing, and revenue management using Python, SQL, and GCP tools like BigQuery and Vertex AI.
Senior Data Engineer - Reference Data (Assistant Vice President)
Build and maintain core reference-data pipelines in Snowflake and AWS for a global investment bank, using Python, Airflow, and modern cloud-native tooling.
Senior Software Engineer (Data)
Senior Software Engineer builds and optimizes cloud-based data pipelines and warehouses to turn raw user data into actionable insights for analysts and business teams in a large e-commerce company.
Machine Learning Engineer
Build and maintain scalable MLOps pipelines to deploy, monitor, and manage machine learning models in production using cloud platforms, CI/CD, and Kubernetes.
Senior AI Engineer - QuantumBlack, AI by McKinsey
Build and deploy AI-driven solutions, scalable data pipelines, and software products using Python, cloud platforms, and MLOps tools while mentoring client teams.
Senior Data and AI Engineer
Build and operate a global renewable-energy data platform, engineering pipelines and AI-ready datasets on Azure/Microsoft Fabric to power analytics and ML at scale.
Software Engineer, AI Platforms
Build and scale AI platforms that integrate LLM agents with lab systems, enabling scientists to co-drive research through full-stack services, APIs, and cloud infrastructure.
Head of Data Engineering - London (Hybrid)
Lead the design and build of a modern data platform from scratch for a fast-growing PropTech company, using Python, dbt, Airflow, and AWS to drive data-driven decisions across the business.
Senior Back-End Software Engineer (up to £120k)
Build the core AI-powered backend for an operating system serving parts and equipment industries, owning data pipelines, APIs, and legacy system integrations in a fast-growing startup.
Senior Software Engineer - Backend
Build and maintain secure, scalable AWS-based microservices in Python to power Trustonic's cloud platform for millions of connected devices.
Lead Data Engineer - Remote, Big-Scale Analytics Leader
Lead a team building and optimizing large-scale marketing analytics pipelines on AWS, designing ETL workflows with Airflow and S3-backed data lakes for near-real-time processing.
Lead Data Engineer — Remote AI/ML Analytics Architect
Lead a team to build and maintain S3-backed data pipelines and real-time analytics for an AI-driven marketing platform using Airflow and AWS services.
Senior Data Engineer — Remote & Growth‑Driven
Owns and scales the data pipeline for a marketing analytics platform, designing OLAP workloads on S3, managing ETL with Airflow, and leading a team of senior engineers on AWS.
Lead Data Engineer - Remote, OLAP & Airflow Lead
Lead a team building and optimizing an S3-backed OLAP pipeline for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Lead Data Engineer: Remote, Scale Analytics & ETL
Lead a team to build and maintain ETL pipelines and analytics infrastructure for a marketing analytics platform using AWS, Airflow, and OLAP tools.
Senior Data Engineer
Build and maintain scalable data pipelines and warehouses using SQL, Python, Snowflake, and ETL/ELT tools for finance-focused clients.
Software/Database Developer (m/f/d)
Builds and maintains cloud-based data pipelines and SQL models on GCP, using BigQuery, dbt, and Airflow to support data-driven business processes in an international agile team.
Growth Analytics Engineer
Build and own Viktor’s data warehouse, ETL pipelines, and BI dashboards in ClickHouse, Python, and Hex to power growth, pricing, and unit-economics decisions for this AI teammate product.