A

Altana AI

AI-driven global supply chain mapping platform

Staff Implementation Delivery Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of technical experience in data engineering or closely related roles.
  • Extensive experience designing, developing, and maintaining complex data models from a variety of sources and schemas.
  • A demonstrated track record leading the full lifecycle of data ingestion and standardization pipelines at scale, including design, development, testing, deployment, monitoring, and maintenance.
  • Demonstrated drive for sustainable software development and self-healing data workflows, and a deep appreciation for data security and governance.
  • Experience deploying and integrating software solutions across client cloud environments (AWS, GCP, or Azure), managing core services such as EC2, S3, IAM, and Dockerized microservices.
  • Experience leading and mentoring other engineers on complex data engineering projects.
  • Eligibility and willingness to obtain UK Security Check (SC) clearance, or an active clearance.
  • Written and verbal communication skills and a track record of interacting directly with external customers and stakeholders to scope technical work and manage expectations.
  • Keep up to date with data engineering trends and care about engineering excellence and knowledge sharing.
  • Knowledge of Python, Spark, SQL, AWS, Azure, Git, REST APIs, Kubernetes, Docker, Terraform, Datadog, Databricks, OpenSearch, and Postgres.

Responsibilities

  • Develop, deploy, and continuously improve distributed big-data pipelines powering network analysis, machine learning, data ingestion, and data fusion capabilities.
  • Advance Altana's technology to improve scalability and meet evolving customer requirements.
  • Support platform reliability, cost, and controls, and support customer security reviews and accreditations.
  • Serve as the technical expert in client-facing meetings, bridging government requirements and the platform's technical architecture.
  • Work in a cross-functional team of engineers, data scientists, and product managers.
  • Evaluate and recommend tools, technologies, and best practices for data pipeline development, orchestration, and deployment.
  • Take ownership of the end-to-end design and operation of data solutions and refine systems to deliver measurable results.

Desired Qualifications

  • Experience managing a data platform, including monitoring and managing releases, costs, and infrastructure changes.
  • Expertise or experience deploying machine-learning pipelines.
  • Exposure to trade compliance, supply chain management, or a field related to international commerce.
  • Experience working with or within the public sector.
  • Familiarity using AI tools to enhance the quality and pace of work.

About the Company

Altana AI

AI-driven global supply chain mapping platform

Altana AI provides an AI-powered Altana Atlas, a real-time map of the global supply chain for manufacturers, distributors, and retailers. The platform uses AI to automate tasks, guide searches, surface alerts and recommendations, and enable real-time collaboration among all stakeholders, drawing on data from over 120 million supply chain links (about half proprietary). It differentiates itself with a shared, up-to-date map and significant proprietary data that power automated insights and actions for everyone involved. The goal is to help supply chains run more safely, efficiently, and responsibly, while reducing disruptions and supporting solvency and insurance readiness.

Company size
201-500
Company stage
Series C
Total funding
$323.5M
Headquarters
New York City, New York
Founded
2018

Recently Posted Jobs

Explore more opportunities at Altana AI

See more jobs