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Altana Ai

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Staff Implementations Data Engineer

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Summary

Staff data engineer on Altana's Platform Operations & Compliance team in London, designing and scaling distributed big-data pipelines that power its AI-driven global trade platform, deploying into client cloud environments (AWS/GCP/Azure), and serving as technical authority in client meetings. Requires 8+ years in data engineering and UK SC clearance eligibility.

Staff Implementations Data Engineer Overview

  • Company Name Altana Ai
  • Job Role Staff Implementations Data Engineer
  • Qualifications Not Specified
  • Category IT Jobs
  • Job Type Full Time
  • Location London

Join a dynamic team at Altana, where we leverage AI to enhance global trade resilience and security. As a Staff Implementations Data Engineer, you will play a crucial role in our Platform Operations & Compliance team, focusing on integrating our products with clients to deliver unique insights and value.

Key Responsibilities

  • Design, implement, and enhance distributed big-data pipelines that support Altana’s advanced network analysis, machine learning, data ingestion, and fusion functionalities.
  • Drive the scalability of Altana’s technology to adapt to the changing needs of customers.
  • Ensure platform reliability, manage costs, and oversee compliance with security reviews and accreditations.
  • Act as the technical authority during client meetings, translating complex governmental requirements into actionable technical solutions.
  • Collaborate with a cross-functional team that includes engineers, data scientists, and product managers.
  • Assess and suggest new tools, technologies, and best practices for the development, orchestration, and deployment of data pipelines.

About You

  • A minimum of 8 years of experience in data engineering or closely related fields.
  • Proven expertise in designing, developing, and maintaining complex data models from diverse sources and schemas.
  • Experience leading the entire lifecycle of data ingestion and standardization pipelines at scale.
  • A commitment to sustainable software development, self-healing data workflows, and a strong understanding of data security and governance.
  • Familiarity with deploying and integrating software solutions in client cloud environments such as AWS, GCP, or Azure, including managing services like EC2, S3, IAM, and Dockerized microservices.
  • Experience in mentoring and guiding other engineers on complex data engineering projects.
  • Willingness and eligibility to obtain UK Security Check (SC) clearance or possess an active clearance.
  • Strong written and verbal communication skills, with a history of effectively interacting with external customers and stakeholders.

Benefits

  • Opportunity to work in a vibrant and collaborative team focused on solving complex global challenges.
  • Access to a diverse and inclusive workplace that values creativity and adaptability.
  • Engagement in projects that have a significant societal impact.

Degree Requirement: Not Specified

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