At a Glance
- Tasks: Build and enhance core infrastructure for a global data ecosystem.
- Company: Leading online gambling company with a culture of creativity and innovation.
- Benefits: Hybrid work options, growth opportunities, and a dynamic work environment.
- Other info: Join a team that values diversity and supports your career development.
- Why this job: Make a real impact in the online gambling industry with cutting-edge technology.
- Qualifications: Proficient in Golang/Python and experienced with Apache Kafka.
The predicted salary is between 56700 - 69300 £ per year.
Company Description
We're one of the world's leading online gambling companies, revolutionising the industry since 2000.
Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.
We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity.
This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling.
As a forward‑thinking company, we're breaking new ground in software innovation too, redefining what's possible for our global worldwide.
Our focus on In-Play betting has solidified our market‑leading position, featuring more than 1.38 million In-Play sporting events a year.
With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.
Job Description
As a Software Developer, you will build and enhance the core infrastructure and services powering a global data ecosystem.
Operating within Platform Engineering, the Data Platform team provides real‑time streaming, cloud‑based databases, release management, distributed key‑value storage and bespoke technical solutions.
These platforms enable developers to access, process and manage information in real‑time and at immense scale.
Focusing on real‑time stream processing, cloud infrastructure management, system integration and release automation, you will develop, enhance and support an expanding, business‑critical platform.
This involves contributing to the management of a comprehensive suite of services, tools and platforms, utilising technologies such as Golang, Kafka, Flink, GCP, Spanner and Big Query.
This role is eligible for inclusion in the Company's hybrid work from home policy.
Qualifications
- Proficiency in Golang and/or Python.
- Background in using Apache Kafka.
- Familiarity with high‑volume transactional environments.
- Track record of developing low‑latency, highly available and scalable solutions.
- Knowledge of dashboards and good practices around the monitoring stack.
- Capability to manage multiple projects with independent deadlines and deliverables.
- Competence in working with Linux.
- Additional Information
- Developing applications using Golang, Kafka, Flink, GCP, SQL and other technologies.
- Supporting applications in their Kafka journey from design through to implementation.
- Maintaining clean coding practices.
- Creating automation and developer tooling.
- Identifying technical areas for improvement.
- Contributing to streaming and storage solutions independently and alongside the wider development function.
- Assisting the testing team during the testing phases of projects.
- Conducting functional and performance testing while undertaking quality assurance of code to ensure accuracy.
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice -
At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued.
Where all individuals can grow and develop, regardless of their background.
We're Never Ordinary, and we're always striving to be better.
If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don't hesitate to reach out.
#J-18808-Ljbffr
Data Platform Engineer employer: 慨正橡扯
At 慨正橡扯, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the field of Behavioral Economics and Retirement Research. Our hybrid working model not only offers flexibility but also nurtures a vibrant work culture where employees are encouraged to grow and develop their skills through meaningful projects and leadership opportunities. Join us in Europe, where your expertise will directly contribute to enhancing investor outcomes and shaping impactful business strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform 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 慨正橡扯!
✨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 Platform Engineer at 慨正橡扯.
✨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 慨正橡扯.
✨Apply Directly through Our Website
When you find a suitable opening like Data Platform Engineer at 慨正橡扯, 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 Platform 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 慨正橡扯, 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 慨正橡扯. 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 慨正橡扯
✨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 慨正橡扯!
✨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.