At a Glance
- Tasks: Build scalable data systems and influence architectural decisions in a dynamic team.
- Company: Join a leading sports data company with a passion for innovation.
- Benefits: Performance bonuses, flexible working, private healthcare, and subsidised gym membership.
- Other info: Mentorship opportunities and a culture of continuous learning await you.
- Why this job: Make an impact on millions of sports fans with cutting-edge data solutions.
- Qualifications: Expertise in programming languages and cloud data services, especially GCP.
The predicted salary is between 60000 - 80000 € per year.
We are seeking a Data Engineer to join our Data Team, playing a vital part in building the complex, scalable systems that power our data strategy. You will be at the heart of architectural discussions, influencing system design and delivering the high-quality data solutions that bring millions of fans closer to the sports they love.
Responsibilities and Qualifications
- Contribute significantly to critical system design decisions, helping to architect data solutions that support real-time workloads.
- Partner with cross-functional teams to translate intricate business needs into effective and innovative data solutions.
- Mentor and provide expert technical guidance to junior engineers, fostering a culture of continuous learning and growth.
- Design data systems to solve problems and improve reliability and cost-effectiveness.
- Develop and maintain robust, secure integrations with core internal systems and critical third-party platforms.
- Implement advanced monitoring and alerting to ensure high system reliability and minimal downtime.
- You have expert-level proficiency in a core programming language like Python, Java, or Scala, with an emphasis on AI/ML data processing.
- You possess experience with cloud data services and technologies, ideally within the GCP ecosystem (e.g., Dataflow, Pub/Sub, BigQuery, Vertex AI).
- Experience with Airflow environment management and Docker.
- You can clearly and concisely explain intricate technical concepts to both technical and non-technical stakeholders.
- You have extensive experience designing and optimising both real-time and large-scale batch data processing frameworks.
- You have a proven ability to deploy and maintain data infrastructure using Infrastructure as Code (IaC) principles with tools like Terraform.
- You can demonstrate the application of data governance, privacy, and security best practices in a regulated environment.
- You are a proactive and curious problem-solver, skilled in anticipating and resolving system inefficiencies.
- You work seamlessly with cross-functional teams, translating complex requirements into robust data solutions.
- You take full responsibility for the quality, reliability, and performance of the data solutions you help create.
Benefits
- Company Performance Bonus
- Flexible Working Agreements where applicable
- Private Healthcare Scheme + Employee Enhanced Assistance
- Enhanced Family Leave – Maternity, Shared Parental and Adoption Leave: up to 6 months at full pay and 6 months at half pay; Paternity leave: up to 4 weeks at full pay
- Subsidised Gym Membership
- Annual Travel Card Loan
Data Engineer employer: Livescore Group Limited
Join our dynamic Data Team as a Data Engineer, where you'll play a pivotal role in shaping innovative data solutions that connect millions of sports fans to their passions. We pride ourselves on a collaborative work culture that fosters continuous learning and growth, offering flexible working arrangements, comprehensive healthcare benefits, and generous family leave policies. With opportunities for mentorship and professional development, this is an excellent place for those looking to make a meaningful impact in the world of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data game. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell us what you can do; show us! Create a portfolio of projects that highlight your expertise in Python, Java, or Scala. Share your work on GitHub or your personal website to give potential employers a taste of your capabilities.
✨Ace the Interview
Prepare for those interviews by brushing up on your technical skills and practising common interview questions. Be ready to explain complex concepts clearly, as you'll need to communicate effectively with both techies and non-techies alike.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with cloud data services, programming languages, and any relevant projects that showcase your skills in real-time data processing.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Mention specific technologies from the job description that you’ve worked with, like GCP or Docker, to show you’re a great fit.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love proactive problem-solvers, so share stories that demonstrate your ability to improve system reliability and efficiency.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Livescore Group Limited
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages, especially Python, Java, or Scala. Be ready to discuss how you've used these in real-time data processing and AI/ML projects. The more specific examples you can provide, the better!
✨Understand the Cloud Landscape
Familiarise yourself with GCP services like Dataflow, Pub/Sub, and BigQuery. Be prepared to explain how you've leveraged these tools in past projects. Showing that you can navigate cloud data services will definitely impress the interviewers.
✨Showcase Your Problem-Solving Skills
Think of a few examples where you've identified and resolved system inefficiencies. Discuss your approach to designing data systems that improve reliability and cost-effectiveness. This will highlight your proactive nature and technical expertise.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll likely need to communicate with both technical and non-technical stakeholders, so being able to bridge that gap is crucial. Clear communication can set you apart from other candidates!
