Client-Embedded Data Engineer β€” AI-Driven Sports Data in London

Client-Embedded Data Engineer β€” AI-Driven Sports Data in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Amatra

At a Glance

  • Tasks: Tackle health and performance data challenges using AI and develop custom solutions.
  • Company: Amatra, a forward-thinking company in the sports data industry.
  • Benefits: Competitive salary, travel opportunities, and a chance to work with cutting-edge technology.
  • Other info: Dynamic role with opportunities for travel and professional growth.
  • Why this job: Make a real impact in sports data while collaborating with diverse stakeholders across Europe.
  • Qualifications: Strong coding skills in Python, Java, C++, or TypeScript required.

The predicted salary is between 70000 - 90000 Β£ per year.

Amatra seeks an FDDE to be embedded with clients across Europe, tackling health and performance data challenges head-on.

You will work with technical, performance and executive stakeholders to solve high-leverage problems, own end-to-end development of custom solutions, and wrangle large-scale data with AI to improve operations.

Travel up to 25% to client sites, with a strong coding background in Python/Java/C++/Type Script welcomed.

#J-18808-Ljbffr

Client-Embedded Data Engineer β€” AI-Driven Sports Data in London employer: Amatra

At Amatra, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Forward-Deployed Data Engineer, you will have the unique opportunity to work closely with elite sporting organisations across Europe, tackling real-world challenges while enjoying a supportive environment that prioritises employee growth and development. With flexible travel options and a focus on autonomy, Amatra is committed to empowering its employees to make a meaningful impact in the world of health and performance data.

Amatra

Contact Details:

Amatra Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Client-Embedded Data Engineer β€” AI-Driven Sports Data in London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Amatra!

✨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 Client-Embedded Data Engineer β€” AI-Driven Sports Data at Amatra.

✨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 Amatra.

✨Apply Directly through Our Website

When you find a suitable opening like Client-Embedded Data Engineer β€” AI-Driven Sports Data at Amatra, 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 Client-Embedded Data Engineer β€” AI-Driven Sports Data in London

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

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 Amatra, 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 Amatra. 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 Amatra

✨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 Amatra!

✨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.