Tech jobs
Job listings
Software Engineer, Data Platform
Build and maintain Movable Ink’s data ingestion pipelines and backend services, migrating legacy systems to modern architectures while ensuring reliability and governance for marketing personalization products.
Forward Deployed Engineer, Transformation
Build and operate production data pipelines and AI agent workflows on the Kinaxis Maestro Platform, integrating customer data sources and shipping agentic AI solutions for supply-chain orchestration.
Software Developer, Data Platform
Build and operate Kinaxis’s cloud-native data platform using Databricks, Spark, and Delta Lake to power AI and analytics for global supply-chain customers.
Data Engineer, Event Data
Build and maintain high-volume event streaming pipelines and analytical databases using Elixir, Python, and modern streaming tech to power real-time marketing personalization at scale.
Manager, Data and Observability Platform (Remote)
Manager, Data & Observability Platform Location: Remote, UNAVAILABLE, CA Employment Type: FULL_TIME About Kinaxis Are you looking to join an innovative, market-leading company where you can truly elevate your…
Forward Deployed Engineer
Build and deploy AI-driven supply-chain solutions for Fortune 500 customers, shipping LLM agents and data pipelines on Kinaxis’s platform while owning end-to-end customer outcomes.
Data Scientist (AI & Machine Learning)
Build and deploy AI/ML models (forecasting, CV, NLP) end-to-end, from problem definition to production, using Python, TensorFlow/PyTorch, and MLOps tooling.
Manager, Data Engineer
Lead AI/ML and Agentic AI projects to build predictive, prescriptive, and generative models that drive revenue growth, demand forecasting, and business decisions using Python, Azure AI, and Databricks.
AI & Data Engineer - Hybrid Milan/Torino, ML in Production
Designs and maintains ETL/ELT pipelines and ML orchestration on cloud and Databricks for AI projects, collaborating with Data, DevOps, and Business teams.
AI & Data Engineer
Build and maintain ETL pipelines, train ML models, and deploy them on cloud platforms like AWS/GCP/Azure using PySpark and Databricks.
Lead Azure Databricks Platform Engineer / Architect
Salary: £? - ? per year Requirements: We need deep hands-on Azure Databricks implementation and troubleshooting experience. We need experience with Databricks Serverless and compute/workload optimisation. We need…
SC Cleared Data Engineer
Designs and builds high-volume datasets for a Central Government team using Azure Databricks in a 6-month remote contract.
Principal AI Data Engineer
Salary: £? - ? per year Requirements: Strong expertise with Databricks, including Delta Lake, Unity Catalog, DLT and MLflow. Deep knowledge of large language models including GPT, Llama, Claude and Mistral. Experience…
IT Data & Platform Engineer
Builds and maintains data pipelines and cloud-based data platforms (e.g., Microsoft Fabric, Databricks) to support construction industry clients, using Python, PySpark, and SQL for data transformation and analytics.
Data Solution Architect
Salary: £100,000 - 100,000 per year Requirements: Experience leading multiple teams as a data solution architect, with ownership of a system of systems Experience designing, building, and productionising modern…
AI Platform Engineer
Build and maintain the AI platform, integrating LLMs, vector databases, and orchestration tools on Azure and Kubernetes.
Junior Data Engineer
Builds and maintains data pipelines, models, and warehouses using SQL, Python, and cloud platforms like Azure or Databricks.
Enterprise Architect
Designs and plans enterprise-wide IT systems and processes for a public-sector or large multi-stakeholder organization, aligning technology with business goals.
Data Engineer
Build and optimise Azure data pipelines using ADF and Databricks, support migration to Azure Data Lake, and drive data quality and governance in a collaborative environment.
Platform Architect
Design and modernize a large-scale cloud data platform using Databricks, Azure, and Terraform, while driving FinOps adoption and platform engineering best practices.