Senior Data Engineer, Capabilities Factory Platform in London

Senior Data Engineer, Capabilities Factory Platform in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data engineering efforts and build a scalable data platform for massive telemetry.
  • Company: Humanoid, a forward-thinking tech company in London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on cutting-edge technology and data-driven solutions.
  • Why this job: Make a significant impact by enabling insights from data across innovative robot platforms.
  • Qualifications: Experience in data engineering and strong collaboration skills with ML teams.

The predicted salary is between 80000 - 100000 £ per year.

Humanoid is hiring a Sr./Staff Software Engineer to lead Data Engineering in London.

You will define architecture, build a data platform for petabyte-scale telemetry, and enable the organization to derive insights from data and model progress.

You will own highly scalable pipelines, collaborate with ML teams, and deliver dashboards for leadership while maintaining data quality and security across multiple robot platforms.

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Senior Data Engineer, Capabilities Factory Platform in London employer: Humanoid

Humanoid is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. With a strong commitment to employee growth, we provide ample opportunities for professional development and advancement within the rapidly evolving field of robotics and AI. Our focus on delivering cutting-edge technology ensures that you will be part of a team that is not only shaping the future of industrial applications but also making a meaningful impact in the industry.

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Contact Details:

Humanoid Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer, Capabilities Factory Platform in London

Get Involved in Data Science Meetups

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Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer, Capabilities Factory Platform at Humanoid.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Humanoid.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Engineer, Capabilities Factory Platform at Humanoid, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Engineer, Capabilities Factory Platform in London

Python
Problem-Solving Skills
SQL
Data Engineering
Data Pipeline Development
API Integration
Communication Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Humanoid, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Humanoid. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Humanoid

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Humanoid!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.