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- Tasks: Manage and preprocess large datasets for training cutting-edge humanoid robots.
- Company: Join Humanoid, the UK's pioneering AI and robotics company revolutionising automation.
- Benefits: Enjoy a competitive salary, flexible hours, and 23 vacation days annually.
- Why this job: Be part of a mission to enhance human capacity with advanced humanoid technology.
- Qualifications: 5+ years in data engineering; proficiency in Python, SQL, and data frameworks required.
- Other info: Work in a dynamic startup environment focused on innovation and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
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.
Preferred Qualifications
- 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 working days of vacation per year.
- Flexible working hours.
- Opportunity to work on the latest technologies in AI, Robotics, Blockchain and others.
- Startup model, offering a dynamic and innovative work environment.
Senior Data Engineer employer: Humanoid
Contact Detail:
Humanoid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and robotics, especially those related to humanoid robots. This knowledge will not only help you understand the company's mission but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the data engineering and robotics fields. Attend industry events, webinars, or meetups to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Showcase your experience with data quality frameworks and machine learning in your discussions. Be prepared to share specific examples of how you've implemented best practices in previous roles, as this aligns closely with the responsibilities outlined in the job description.
✨Tip Number 4
Demonstrate your passion for robotics and AI during your interactions with the team. Share any personal projects or research you've undertaken in these areas, as this enthusiasm can set you apart from other candidates.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Python, SQL, and data processing frameworks. Emphasise any projects related to machine learning or robotics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and robotics. Mention specific experiences that align with Humanoid's mission and vision, and explain how you can contribute to their goals.
Showcase Relevant Projects: Include examples of past projects where you've curated, preprocessed, or managed large datasets. Highlight your role in ensuring data quality and any collaboration with machine learning teams.
Highlight Soft Skills: In addition to technical skills, mention your problem-solving abilities and attention to detail. These traits are crucial for a fast-paced environment like Humanoid, so make sure they shine through in your application.
How to prepare for a job interview at Humanoid
✨Showcase Your Technical Skills
As a Senior Data Engineer, you'll need to demonstrate your proficiency in Python, Java, SQL, and data processing frameworks like Apache Spark. Be prepared to discuss specific projects where you've applied these skills and how they contributed to successful outcomes.
✨Understand the Company's Vision
Humanoid is focused on creating advanced humanoid robots that integrate into daily life. Familiarise yourself with their mission and vision, and think about how your role as a Data Engineer can support these goals. This will show your genuine interest in the company.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of examples from your past experience where you tackled complex data challenges, particularly in fast-paced environments. Highlight your attention to detail and commitment to data integrity.
✨Discuss Collaboration with ML Teams
Since the role involves collaborating with machine learning teams, be ready to talk about your experience working alongside them. Discuss how you've designed data pipelines that support efficient training workflows and any familiarity you have with tools like Databricks or Airflow.
