Data Architect

Esure Group PLC; Manchester; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading robotics firm in Manchester is seeking an experienced Data Engineer to develop and maintain essential data infrastructure for humanoid robots. The ideal candidate should have a Bachelor's or Master's degree and 5+ years in data engineering. You will work on scalable data pipelines and ensure data quality while collaborating with machine learning teams. Competitive salary and numerous perks included, along with the opportunity to influence product development.

Benefits

Competitive salary plus stock options

Paid vacation and travel opportunities

Office perks: free meals and team events

Influence product and initiatives

Collaboration with top-tier experts

Startup culture focused on transparency

Qualifications

• 5+ years of experience in data engineering and data quality.
• Experience with building scalable data pipelines.
• Passion for contributing to the development of humanoid robots.

Responsibilities

• Develop the backbone of our HMND robot Capability Factory.
• Manage large-scale datasets for humanoid robot training.
• Ensure data quality across multiple projects.

Skills

Data engineering

Coding proficiency (Python, Java, Scala, C++)

Distributed computing frameworks (Ray, Spark, MapReduce)

Attention to detail

Problem-solving skills

Education

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

Tools

AWS

DBT

Prefect

Databricks

Job description

About the Company

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.

Responsibilities

• Develop the backbone of our HMND robot Capability Factory.
• Curate, preprocess, and manage large‑scale datasets for humanoid robot training projected to grow to petabytes by 2026.
• Build highly scalable data pipelines on massive infrastructure tens of thousands of vCPUs.
• 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.

Qualifications

• 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 one of the programming languages such as Python, Java, Scala, C++, etc.
• Experience with distributed computing frameworks such as Ray, Spark, and MapReduce.
• 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 developing infrastructure for petabyte‑scale data platforms; deep hands‑on expertise in low‑level and system‑level engineering; understanding of ML requirements and experience working with ML teams; experience with DBT, Prefect, and Databricks; familiarity with robotics or the self‑driving field; experience with cloud‑based data storage and processing solutions (AWS would be a plus).
• 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.

How to Apply

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