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- Tasks: Join our team to automate data pipelines and enhance data accessibility.
- Company: We're a leading sports data and betting company in central London with over 10 years of experience.
- Benefits: Enjoy perks like a half-year bonus, subsidized meals, gym membership, and private medical insurance.
- Why this job: Be part of a dynamic team supporting data science while working in a vibrant office environment.
- Qualifications: Looking for candidates with SQL, Python, and cloud platform knowledge; some commercial experience preferred.
- Other info: Choose one day a week to work from home!
Data Engineer required by a sports data and betting company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Data Engineer will help to support 2 data science teams. The role would suit someone with a couple of years commercial experience following university. Examples of responsibilities include: Automating pipelines for importing and updating data Transforming existing data into more accessible formats Building smaller and more manageable datasets Improving speed and reliability of ETL processExperience required: SQL and relational databases Python Building data pipelines Understanding of AWS or similar cloud platformDue to the nature of the business this is mainly an office-based role, but you will be able to choose 1 day per week to work from home. The company offer some great benefits including a half year bonus, subsidised office meals, gym membership, and private medical insurance. If you are interested in this role, please apply or contact (url removed) / (phone number removed) for further information. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy
Data Engineer employer: Spectrum IT Recruitment
Contact Detail:
Spectrum IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, especially SQL, Python, and AWS. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have with data pipelines and ETL processes. Be ready to discuss specific challenges you faced and how you overcame them during your interviews.
✨Tip Number 3
Since this role supports data science teams, brush up on your understanding of statistical models and analytical frameworks. Being able to communicate effectively with data scientists will be a big plus.
✨Tip Number 4
Research the company’s culture and values, as well as their recent projects or achievements in the sports data and betting industry. This knowledge will help you tailor your conversations and show genuine interest during the interview process.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Data Engineer as outlined in the job description. Highlight your experience with automating pipelines, transforming data, and improving ETL processes in your application.
Showcase Relevant Skills: Emphasize your proficiency in SQL, Python, and any experience with AWS or similar cloud platforms. Provide specific examples of how you've used these skills in previous roles to demonstrate your capability.
Tailor Your CV: Customize your CV to reflect the requirements of the job. Use keywords from the job description to ensure your application stands out and aligns with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your interest in the position but also explains why you are a great fit for the company. Mention your passion for sports data and how your background aligns with their needs.
How to prepare for a job interview at Spectrum IT Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, and any cloud platforms like AWS. Be prepared to discuss specific projects where you automated data pipelines or transformed datasets.
✨Understand the Company’s Focus
Research the sports data and betting industry to understand the company's products and services. This will help you tailor your answers and show that you're genuinely interested in their work.
✨Prepare for Behavioral Questions
Expect questions about teamwork and collaboration, especially since you'll be supporting two data science teams. Think of examples from your past experiences that demonstrate your ability to work well with others.
✨Ask Insightful Questions
Prepare thoughtful questions about the company culture, the data engineering team, and the specific challenges they face. This shows your enthusiasm for the role and helps you assess if it's the right fit for you.
