At a Glance
- Tasks: Work directly with elite sports organisations to solve critical health and performance data challenges.
- Company: Join Amatra, a forward-thinking company at the intersection of sports and technology.
- Benefits: Competitive salary, travel opportunities, and a chance to work with cutting-edge data solutions.
- Other info: Dynamic role with opportunities for personal growth and travel.
- Why this job: Make a real impact in sports by leveraging data to enhance performance and strategy.
- Qualifications: 1+ years in data engineering; strong coding skills in Python, Java, or similar languages.
The predicted salary is between 51750 - 63250 £ per year.
The role
As an FDDE at Amatra you will be embedded directly with our customers to tackle their most pressing challenges head-on.
This means being on the ground with some of Europe's elite sporting organisations, solving their most critical health and performance data problems.
Responsibilities
- —Work directly with technical, performance and executive stakeholders to solve their highest-leverage problems.
- —Own the full lifecycle of developing custom solutions tailored to client needs, from ideation to deployment.
- —Wrangling large-scale data and using AI to accelerate and enhance critical operations.
- —Operate with autonomy to shape client strategy in a rapidly changing environment with dynamic objectives and iteration with users.
Requirements
- —1+ years of relevant data engineering experience including cloud infrastructure, APIs, and large-scale data warehousing.
- —Strong engineering background preferred (but not required), in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.
- —Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, Type Script/Java Script, or similar.
- —Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.
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Forward-Deployed Data Engineer 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.
StudySmarter Expert Advice🤫
We think this is how you could land Forward-Deployed Data Engineer 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!
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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 Forward-Deployed Data Engineer at Amatra.
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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.
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We think you need these skills to ace Forward-Deployed Data Engineer in London
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.
