At a Glance
- Tasks: Join our team to develop and monitor software that efficiently consumes sports data.
- Company: We're a leading sports betting odds provider based in London.
- Benefits: Enjoy a dynamic work environment with opportunities for learning and growth.
- Why this job: Be part of an exciting industry, working with data that drives sports betting.
- Qualifications: You need coding skills in Scala, Java, or Python and a Computer Science degree.
- Other info: Some evening and weekend work is required to align with the sports calendar.
The predicted salary is between 36000 - 60000 £ per year.
Job Title: Data Aquisition Engineer Location: West Midlands Salary: £30,000 – £40,000 per annum Join Our Creative Agency and Make an Impact! Are you an experienced Data Aquisition Engineer with a passion for creating innovative solutions? We\’re looking for a skilled developer to join our dynamic team at a creative agency in the West Midlands. As a key player in our team, you\’ll help us build cutting-edge data acquisition software that directly enhances business operations and delivers measurable value to our clients. What You\’ll Do: Collaborate with a talented team to develop, test, and deploy high-quality PHP-based applications. Contribute to the creation of data acquisition software that drives client success and business growth. Work closely with cross-functional teams to design and implement scalable solutions. Ensure seamless integration with third-party tools and services. Play a crucial role in refining and improving our software and overall development process. What We\’re Looking For: 5+ years of PHP development experience , including experience with PHP frameworks such as Laravel or Symfony. 3+ years of web scraping experience , including familiarity with scraping libraries and strategies. 3+ years of experience with WebDriver/Chromedriver for automating browser tasks. 2+ years of experience using Guzzle for HTTP requests and API interactions. Strong understanding of web development best practices, including APIs and security. Experience with version control systems like Git. Familiarity with agile development methodologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a fast-paced environment. Why Join Us? Be a part of a forward-thinking, creative agency that values innovation and collaboration. Gain exposure to a range of exciting projects, with the opportunity to make a real difference in how businesses operate. Competitive salary, with career development opportunities. Hybrid working options to fit your lifestyle. If you\’re ready to bring your skills to a role where you can have a tangible impact on client success and business operations, we want to hear from you! Apply Now to join a team that values your expertise and creativity. Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website. JBRP1_UKTJ
Data Acquisition Engineer employer: Oscar Associates (UK) Limited
Contact Detail:
Oscar Associates (UK) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Acquisition Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, especially Scala, Java, and Python. Having hands-on experience or projects that showcase your coding skills in these languages will make you stand out.
✨Tip Number 2
Since the role involves working with data from various sources, consider building a small project that demonstrates your ability to acquire, process, and validate data. This practical experience can be a great talking point during interviews.
✨Tip Number 3
Networking is key! Connect with professionals in the sports betting and data acquisition fields on platforms like LinkedIn. Engaging with industry-related content can also help you stay updated and show your passion for the domain.
✨Tip Number 4
Prepare to discuss your problem-solving approach in both tactical and strategic contexts. Think of examples from your past experiences where you successfully navigated challenges, as this will demonstrate your logical and structured thinking.
We think you need these skills to ace Data Acquisition Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your coding proficiency, especially in Scala, Java, or Python. Include relevant experience with data acquisition and any exposure to sports betting domains.
Craft a Strong Cover Letter: In your cover letter, emphasize your problem-solving skills and ability to work in fast-paced environments. Mention your proactive attitude and willingness to learn, as these traits are crucial for the role.
Showcase Relevant Experience: If you have experience with Linux, SQL, or NoSQL databases, be sure to detail this in your application. Highlight any previous roles where you developed or monitored software that consumed data.
Communicate Clearly: Since good verbal and written communication skills are essential, ensure your application is well-structured and free of errors. This will demonstrate your attention to detail and professionalism.
How to prepare for a job interview at Oscar Associates (UK) Limited
✨Showcase Your Coding Skills
Be prepared to discuss your coding proficiency, especially in Scala, Java, or Python. Bring examples of your previous work or projects that demonstrate your ability to write efficient and clean code.
✨Understand the Sports Betting Domain
Since the role involves working with sports data, make sure you have a good understanding of the sports betting industry. Familiarize yourself with common terms and concepts to show your enthusiasm and knowledge during the interview.
✨Emphasize Problem-Solving Abilities
Highlight your logical and structured approach to problem-solving. Be ready to discuss specific examples where you've tackled complex issues, particularly in fast-paced environments.
✨Communicate Effectively
Good verbal and written communication skills are essential for this role. Practice articulating your thoughts clearly and concisely, and be prepared to explain technical concepts in a way that is understandable to non-technical team members.