At a Glance
- Tasks: Build scalable data systems and optimise platforms for real-time AI/ML workloads.
- Company: Join LiveScore Group, a leader in sports media and gaming innovation.
- Benefits: Enjoy flexible working, private healthcare, performance bonuses, and more.
- Other info: Collaborative culture with opportunities for career growth and exciting team socials.
- Why this job: Make a real impact in the sports world while developing your data engineering skills.
- Qualifications: Experience in data engineering, SQL, Python, and cloud technologies like GCP.
The predicted salary is between 60000 - 75000 £ per year.
- Soho, London
- Hybrid working: 3 days in the office Tues - Thurs
The Role
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 contribute to architectural discussions and deliver high-quality data solutions that bring millions of fans closer to the sports they love.
This is a fantastic opportunity to develop your expertise in optimising data platforms for real-time AI/ML workloads, collaborate with experienced engineers, and make a significant impact on our business.
At Live Score Group, we're the proud home of three of the most exciting brands in the sports and gaming world: Live Score, Live Score Bet and Virgin Bet.
A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting.
We're proud of the high ratings for our commitment to excellence and fueling fan's passion for sport driving us to the top.
We don't just lead; we innovate.
Our cutting-edge products and immersive experiences set the standard, but it's our people who truly make the difference.
Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition.
As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills.
If you're good at what you do, come and join us.
The more inclusive we are, the more amazing experiences we can create for our users.
We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box.
But, if you're passionate about the role and have relevant experience, we want to hear from you!
Key Responsibilities
- Develop and deploy robust data pipelines using GCP services such as Big Query, Dataflow, Pub/Sub and Cloud Storage.
This includes integrating data from various sources, ensuring data quality and enabling real-time processing capabilities.
- Design data models and manage databases effectively to support business analytics and intelligence using dimensional data-modelling principles.
Use GCP database technologies such as Bigtable, Spanner or Firestore to optimise performance and scalability.
- Automate data workflows and optimise data storage and processing costs within GCP.
Use tools such as Cloud Composer for orchestration and apply best practices in performance tuning.
- Ensure data security by implementing GCP security practices. Manage access controls, comply with data-governance policies and safeguard sensitive information.
- Work closely with data engineers, business analysts, and IT teams to define data requirements and deliver comprehensive data solutions.
- Stay up to date with the latest GCP features and data-engineering technologies.
Explore ways to enhance data infrastructure and contribute to the development of new data products.
- Provide second-line support for pipeline failures or data quality incidents and perform fault analysis to resolve issues.
- Contribute to system-design decisions and help develop data solutions that support real-time workloads.
- Partner with cross-functional teams to translate business needs into effective data solutions.
- Design data systems that solve problems and improve reliability & cost-effectiveness.
- Develop and maintain robust, secure integrations with core internal systems and third-party platforms.
- Implement monitoring and alerting to ensure high system reliability and minimal downtime.
Skills, Knowledge and Experience
- Experience in data engineering or data warehousing with large-scale, complex datasets.
- Experience writing complex SQL queries.
- Experience with Python or a similar programming language, with the ability to turn business requirements into working solutions.
- Experience with cloud data services and technologies, ideally within the GCP ecosystem, such as Dataflow, Pub/Sub, Big Query or Vertex AI.
- Experience with Airflow environment management and Docker.
- An interest in contributing to the AI roadmap and experimenting with AI tooling, including coding agents, within the development lifecycle.
- The ability to explain technical concepts clearly and concisely to technical and non-technical stakeholders.
- Experience developing and optimising real-time and large-scale batch data-processing frameworks.
- Experience deploying and maintaining data infrastructure using Infrastructure as Code principles and tools such as Terraform.
- An understanding of data-governance, privacy and security best practices in a regulated environment.
- A proactive and curious approach to identifying and resolving system inefficiencies.
- The ability to work effectively with cross-functional teams and translate requirements into robust data solutions.
- A strong sense of responsibility for the quality, reliability and performance of the data solutions you help create.
What can we offer?
- Company Performance Bonus
- Flexible Working Agreements where applicable
- Private Healthcare Scheme + Employee Enhanced Assistance
- Enhanced Family Leave - Maternity, Shared Parental & 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 & Ride to Work Scheme
- Life Assurance (x3 salary)
- Contributory Pension Plan
- Virgin Family: Giving you access to exclusive Virgin offers and experiences
- Thursday drinks in the office and regular socials
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Data Engineer employer: Visa Hunt
Gartner is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. With a strong emphasis on employee growth, you will have access to mentorship opportunities and resources to advance your career while working in a hybrid model that promotes work-life balance. Located in a vibrant market, Gartner offers the unique advantage of engaging with top executives globally, making your contributions impactful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Visa Hunt!
✨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 Data Engineer at Visa Hunt.
✨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 Visa Hunt.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Visa Hunt, 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 Data Engineer
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 Visa Hunt, 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 Visa Hunt. 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 Visa Hunt
✨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 Visa Hunt!
✨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.
