Senior Data Engineer

3 days ago

Hermitage, United Kingdom Atlas AI Full time

Position Overview:

We are seeking a highly skilled Senior / Lead Data Tooling Engineer to join our core team at Atlas AI. As a key member of our Software Engineering team, you will be responsible for designing, building, testing, and delivering our GeoAI platform to enable internal and external Data Scientists and Machine Learning Engineers to implement Geospatial AI models.

Key Responsibilities:

  • Own the design, development, deployment, and support of tools that enable AtlasAI Solution Engineers to write, deploy, and curate cloud-scale data ingestion and processing pipelines.
  • Be the Subject Matter Expert ensuring that every AtlasAI colleague responsible for a data pipeline follows best practices.
  • Take absolute responsibility for AtlasAI's most critical and strategic data pipelines.
  • Work closely with the Feature tooling team to ensure outputs of data pipelines are compatible with featurization pipelines.
  • Engage internal collaborators and our end-use partners and customers to understand needs, plan solutions, and lead development of deliverables.
  • Close the feedback loop with Solutions, Engineering, and Research teams to deliver customer experience and market insights.
  • Architect and develop serverless solutions that marry products within and across cloud platforms (e.g. GCP, AWS, Azure) that address customers' needs.
  • Lead client-oriented API design and development.
  • Work with designers, product managers, and your fellow engineers to build APIs to support key functionality and use cases.
  • Actively participate to improve engineering standards, tooling, and processes.
  • Leverage your experience in early-stage startups to make informed decisions that balance speed vs quality.
  • Focus on designing architectures to solve core problems, not just because it is the latest trend.

Requirements:

  • Three or more years of recent work experience as a practicing Data Engineer or Software Engineer using Python, GDAL, and other GeoSpatial tools deployed in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo).
  • At least two years building tools primarily used by less technical internal and external customers.
  • At least three or more years of recent work experience building around Earth Observation use-cases.
  • Technical ownership of key areas of a Product, such as one or two critical services.
  • Experience with building distributed computing infrastructure flexible for both on-demand and batch processing.
  • Self-starter attitude, comfortable working independently and in an entrepreneurial, start-up environment; thrives in high-trust environments with minimal resources/backing.
  • Fluency in English, both conversationally and professionally (technically) is a requirement; exceptional interpersonal communication, both written and oral.
  • Intellectual curiosity and desire to contribute across cultures in a dynamic global environment.

Preferred Qualifications:

  • Applying Geospatial libraries and datasets at scale for distributed workflows.
  • Developing enterprise PaaS and SaaS products.
  • Working in early-stage startup environments.
  • Developing on Google Cloud Platform.

About Atlas AI:

At Atlas AI, we are pioneering the use of advanced geospatial data and AI to tackle some of the most pressing challenges of our time. Our mission is to empower organizations to adapt and thrive amidst changing global forces such as climate change. We provide a cutting-edge data science platform that offers a living map of population, wealth, climate, and economic development trends worldwide. This enables organizations to harness real-time data to build geospatial AI models, guiding investment decisions and fostering resilience in an uncertain future.

Why Join Us:

At Atlas AI, you'll be part of a dynamic team dedicated to making a tangible impact on the world. We bring together world-class scientific leadership in AI with top-notch engineering and data science disciplines to build rigorous, scalable systems for large enterprise customers. Our collaborative environment fosters innovation and empowers you to work on groundbreaking projects that drive real change, from advancing sustainable energy solutions to optimizing global supply chains for vulnerable communities.

We are a highly values-driven organization, guided by our core principles of Integrity, Innovation, Impact, Collaboration, and Empowerment. If you are passionate about using technology to solve critical global challenges and are eager to contribute to a mission-driven company, Atlas AI is the place for you. Join us and be at the forefront of innovation, helping to build a more resilient and equitable future.

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