Implementations Data Engineer

Requirements

• You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands‑on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone who proactively takes ownership of the end‑to‑end design and operation of data solutions and refines the systems to deliver measurable results.
• 8+ years of technical experience in data engineering or closely related roles.
• You have extensive experience across the design, development, and maintenance of complex data models from a variety of sources and schemas.
• Demonstrated track record of leading the full lifecycle (Design, Development, Test, Deploy, Monitor, Maintain) of data ingestion and standardization pipelines at scale.
• A demonstrated drive for sustainable software development, self‑healing data workflows, and a deep appreciation for data security and data governance.
• Experience leading and mentoring other engineers on complex data engineering projects.
• You are eligible and willing to obtain UK Security Check (SC) clearance or have an active clearance already.
• Excellent written and verbal communication skills, with a track record of successfully interacting directly with external customers and stakeholders to scope technical work and manage expectations.
• Keep up to date with latest trends in data engineering and care deeply about engineering excellence and knowledge sharing.
• (Desirable) Expertise or experience with the deployment of ML pipelines.
• (Desirable) Exposure to trade compliance, supply chain management or a field similarly related to international commerce.
• (Desirable) Experience working with or within the public sector.
• (Desirable) Experience with the responsibilities involved in managing a data platform, including monitoring and managing releases, costs, and infrastructure changes.
• (Desirable) Familiarity using AI tools to enhance the quality & pace of your output.
• Technologies we love.
• Languages:
  
  Python, Spark, SQL.
• Tools: AWS, Azure, Git, Rest APIs, Kubernetes, Docker.
• Data stores:
  Databricks, Open Search, Postgres.

• The Implementation team is focused on integrating Altana’s products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations.
• Specifically, the team is focused on:
• Develop, deploy and continuously improve distributed, big‑data pipelines powering Altana’s state‑of‑the‑art network analysis, ML, data ingestion and fusion capabilities.
• Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base.
• Serve as the technical expert in client‑facing meetings, bridging the gap between complex government requirements and our platform's technical architecture.
• Work in a cross‑functional team of engineers, data scientists, and product managers.
• Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment.