Staff Implementations Data Engineer

Staff Implementations Data Engineer Overview

Altana is hiring a Staff Implementations Data Engineer to join its London-based team working on trusted trade and AI-powered supply chain intelligence. The company builds a global network that helps governments and businesses strengthen resilience, improve security, support sustainability, and keep trade moving. Its platform is used by major organizations and public-sector customers around the world, and the work in this role sits at the intersection of data engineering, customer integration, cloud infrastructure, and mission-driven technology.

Team and role context

This position sits within the Platform Operations & Compliance team. That group focuses on connecting Altana’s products with customer environments so the company can deliver tailored insights, business process integrations, and shared value. The team builds and customizes data pipelines for specialized customer use cases, integrates customer data into Altana’s knowledge graph, and helps ensure the platform meets demanding expectations around reliability, cost management, control, and security. The team works closely with customers as well as internal Engineering, Machine Learning, InfoSec, and Product teams.

The role is suited to a senior technical leader who can combine deep hands-on data engineering expertise with the ability to guide technical direction, influence across teams, and communicate clearly with external stakeholders. The successful candidate will help shape how Altana’s data systems scale and how they are adapted to meet evolving customer and government requirements.

What you will do

• Build, deploy, and continuously improve distributed data pipelines that power Altana’s network analysis, machine learning, data ingestion, and data fusion capabilities.
• Help evolve the platform so it becomes more scalable and better aligned with changing customer needs.
• Support the reliability, cost efficiency, and control of the platform, particularly for large-scale pipelines serving public-sector customers.
• Contribute to customer security reviews and accreditation work by providing technical support and evidence.
• Serve as a technical expert in customer-facing discussions, helping translate complex government requirements into practical platform architecture and implementation choices.
• Collaborate in a cross-functional environment with engineers, data scientists, and product managers to deliver integrated solutions.
• Assess new tools, technologies, and engineering practices that can improve pipeline development, orchestration, and deployment.
• Take ownership of the full lifecycle of data solutions, including design, development, testing, release, monitoring, and maintenance.
• Mentor and support other engineers working on advanced data engineering initiatives.

What the company is looking for

• At least eight years of professional experience in data engineering or a closely related technical field.
• Strong experience designing, building, and maintaining complex data models that combine information from many different sources and schema types.
• A proven record of leading data ingestion and standardization pipelines through the entire lifecycle at scale.
• Experience creating sustainable software and data workflows, including self-healing systems, with a strong focus on data security and governance.
• Hands-on experience deploying and integrating software in customer cloud environments such as AWS, GCP, or Azure.
• Practical knowledge of core cloud services and infrastructure components such as EC2, S3, IAM, and Dockerized microservices.
• Experience leading and mentoring engineers on complex data engineering projects.
• Willingness and eligibility to obtain UK Security Check clearance, or an active clearance already in place.
• Excellent written and verbal communication skills, including experience working directly with external customers and stakeholders to define technical scope and manage expectations.
• A strong habit of keeping up with current data engineering trends, along with a commitment to engineering excellence and knowledge sharing.

Helpful experience, but not essential

• Experience running a data platform, including release management, cost tracking, and infrastructure changes.
• Experience deploying machine learning pipelines.
• Background in trade compliance, supply chain management, or another area connected to international commerce.
• Experience working in or alongside the public sector.
• Comfort using AI tools to improve the quality and speed of your work.

Technology environment

The company highlights the following technologies as part of its preferred stack: Python, Spark, SQL, AWS, Azure, Git, REST APIs, Kubernetes, Docker, Terraform, Datadog, Databricks, OpenSearch, and Postgres.

About Altana

Altana describes itself as a network for trusted trade that applies AI to one of the world’s largest organized supply chain data sets. Its customers use the platform to build resilience for critical industries and infrastructure, automate and protect cross-border trade, improve insurance underwriting, support national security, combat modern slavery, disrupt fentanyl trafficking, and verify product sustainability. The company says it is backed by leading investors and used by major organizations including Lloyd’s, Maersk, multiple government agencies in the US, UK, EU, Singapore, and Australia, General Atomics, Boston Scientific, and others.

The organization says it is building a global platform that connects public and private sector stakeholders into an AI-powered network for trusted supply chains. It also emphasizes a set of operating values that shape how it hires, builds, and collaborates: trust, resilience, stewardship, and courage.

Culture and equal opportunity

Altana states that it is an equal opportunity employer and welcomes applicants as they are. Hiring decisions are based on business needs and individual qualifications, without regard to protected characteristics such as race, color, religion, national origin, ancestry, age, disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family or medical leave status, military or veteran status, or other legally protected traits. The company also says it does not tolerate discrimination or harassment of any kind.

Application and hiring notes

The application is submitted through Greenhouse. The form asks for standard candidate details, a resume, and an optional cover letter, and it also asks whether the applicant is legally authorized to work in the United States, whether they will need visa sponsorship now or in the future, and whether they live within commuting distance of the London office. The page also includes a reminder that legitimate offers will come from an Altana.ai email address and that the company will never ask for payment during interviewing or onboarding.

Degree Requirement: Not Specified

Visa Sponsorship May be