Senior Data Platform Engineer

ZipRecruiter; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

An innovative robotics firm in London is seeking a Senior/Staff Data Engineer to manage large datasets and collaborate with machine learning teams to support the development of advanced humanoid robots. The role requires substantial experience in data engineering, attention to detail, and strong technical skills in data processing frameworks. The company offers a competitive salary, stock options, and various office perks.

Benefits

Competitive salary plus Stock Option Plan

Paid vacation and travel opportunities

Free breakfasts, lunches, and snacks

Regular team events

Influence the product and own key initiatives

Qualifications

• 5+ years of experience in data engineering and data quality.
• Strong proficiency in Python / Java and SQL.
• Knowledge of machine learning and its data requirements.

Responsibilities

• Curate, preprocess, and manage large datasets for training.
• Ensure quality, accuracy, and consistency of data.
• Collaborate with machine learning teams to design data pipelines.

Skills

Data management

Python / Java

SQL

Apache Spark

Problem-solving

Attention to detail

Education

Bachelor’s or Master’s degree in Data Science or Computer Science

Tools

Databricks

dbt

Airflow

Job description

Overview

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.

We are looking for Senior/Staff Data Engineer to join our team based in London, UK.

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.

Responsibilities

• 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.

Expertise

• 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.

Qualifications

• Experience with Databricks or Ray.
• 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

• Competitive salary plus participation in our Stock Option Plan
• Paid vacation and travel opportunities to our London, Vancouver, and Boston offices
• Office perks: free breakfasts, lunches, snacks, and regular team events
• Freedom to influence the product and own key initiatives
• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
• Startup culture prioritising speed, transparency, and minimal bureaucracy