Senior Data Engineer

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.


Our Mission

At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.

Vision

In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.

Solution

As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.

About the Role:

We are looking for a Senior Data Engineer to help transform our rapidly growing universe of raw robotic data into a dependable, scalable foundation for learning, simulation, and system performance.

You will be part of a specialised team responsible for designing and maintaining the data pipelines that connect control, perception, simulation, and learning systems. This role involves close collaboration with robotics engineers, machine learning researchers, and software developers. You will own critical aspects of our data platform, shape data models and schema design, implement quality controls, and optimise systems for high-throughput and reliable processing. It’s ideally suited to someone passionate about building foundational systems at the intersection of AI and robotics, who enjoys solving practical challenges and working across disciplines to turn complexity into clarity.

What You’ll Do:

• Curate, preprocess, and manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025.
• Ensure the quality, accuracy, and consistency of data across multiple projects.
• Collaborate with machine learning teams to design data pipelines that support efficient training workflows.
• Develop and maintain data quality metrics reporting systems.
• Implement best practices for data management, including versioning, security, and compliance.

We’re Looking For:

• Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field.
• 5+ years of experience in data engineering and data quality.
• Strong proficiency in Python / Java, SQL, and data processing frameworks including Apache Spark.
• Knowledge of machine learning and its data requirements.
• Attention to detail and a strong commitment to data integrity.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Nice to have:

• Experience with Databricks and Databricks Unity Catalog.
• Familiarity with dbt and Airflow.
• Experience with data quality frameworks.
• Understanding of ML requirements and experience working with ML teams.
• Experience in robotics or a related field.
• Familiarity with cloud-based data storage and processing solutions.
• Passion for contributing to the development of advanced humanoid robots.

Benefits

• High competitive salary.
• 23 calendar days of vacation per year.
• Flexible working hours.
• Opportunity to work on the latest technologies in AI/ML, Robotics and others.
• Startup model, offering a dynamic and innovative work environment.

How to Apply

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