At a Glance
- Tasks: Lead the design and implementation of scalable data architectures and pipelines.
- Company: Join Entain, a global leader in sports betting and gaming with iconic brands.
- Benefits: Enjoy competitive pay, bonuses, private healthcare, and generous leave policies.
- Other info: Be part of a diverse team committed to innovation and career growth.
- Why this job: Make an impact by shaping data solutions that enhance player safety and excitement.
- Qualifications: Expertise in data engineering, SQL, and cloud platforms like AWS and Azure.
The predicted salary is between 63000 - 77000 £ per year.
Company Description
About Entain
There's nothing like a career at Entain. We're a leading, global sports betting and gaming company and we're upping the excitement and increasing player safety. We're a FTSE company with iconic brands including Ladbrokes, Coral, BetMGM, Eurobet and bwin, and we have an energy that drives us to perform at the height of our potential. Whether you're an engineer, marketer or retail specialist, a career here is a complete game changer.
Job Description
This is a hybrid role. As a Data & Analytics Engineer you will provide technical leadership across the data platform, defining engineering standards and architecture while delivering complex, data solutions. Reporting to the head of Data & Analytics, you will be part of the Data & Analytics department.
You Will:
- Lead the implementation of scalable data architectures and pipelines across the platform
- Lead the technical direction for data engineering, ensuring solutions are performant, maintainable, and cost-efficient
- Shape engineering standards, patterns, and best practices (e.g. modelling, CI/CD, DataOps, testing)
- Lead the delivery of complex, cross-domain data programs, working across multiple teams
- Partner with senior partners to translate our needs into technical data solutions and platform capabilities
- Work with analytics teams to ensure data is accessible, well-structured, and fit for analytical use
- Improve platform performance, cost optimisation (FinOps), and scalability
- Resolve systemic data issues, improving reliability across the platform
- Champion data governance, security, and compliance within engineering practices
- Ensure data is handled following organisational standards for security, access control, and regulatory compliance
- Be a technical mentor, supporting the development of engineers across the team
- Contribute to code reviews, design reviews, and technical decision-making forums
- Influence tooling, frameworks, and approaches to improve engineering capability
- Collaborate across engineering, analytics, and product teams to deliver integrated, high-quality data solutions
- Stay informed on industry trends and latest technologies, bringing relevant innovation into the organisation
Qualifications
You Have:
- Expertise in data engineering, including data pipelines, modelling, and platform architecture
- Advanced SQL and programming capability (e.g. Python, R)
- Experience designing scalable, production-grade data systems implementing best practices around data processing on an industrial scale
- Experience with cloud data platforms (e.g. Snowflake, Databricks) and other cloud technologies such as Amazon Web Services, Google Cloud Platform and Azure
- Experience defining and implementing engineering standards, frameworks, and best practices, including Software Data Life cycle (SDLC) CI/CD, and QA frameworks
- Knowledge of CI/CD, orchestration, and DataOps principles
- Think 'outside of the box' to unblock yourself and other members of the Squad when challenges arise
- Demonstrate a high level of skillfulness about your work, the end experience of the customer, and effect on overall product
- Adapt to new technologies and technical challenges, working in a dynamic and agile organisation
- Always suggest ideas and making changes to lead more value from their daily role, or improve the customer journey
- Optimise performance, cost, and reliability in data platforms to keep costs to a minimum whilst delivering as performant as possible
- Experience with data governance, security, and compliance, with the ability to embed these in engineering practices
Additional Information
Benefits
At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire you. Join us, and a great compensation package is just the beginning. You can expect to receive benefits like:
- A regular bonus and great pension.
- 25 days annual leave and all bank holidays.
- Extra paid leave, including wellbeing and development days.
- Life assurance and Income Protection.
- Private healthcare and wellbeing support.
- A stake in our success through our ShareSave scheme.
How we use Artificial Intelligence (AI) in recruitment
We may use approved AI tools to make recruitment simpler and more efficient, while keeping people at the heart of what we do. These tools support our teams and give them more time to focus on you.
Fairness, transparency and trust
Our recruiters and hiring managers oversee how we use AI and remain responsible for hiring decisions. These tools support administrative aspects of the recruitment process, giving our teams more time to focus on you. We're open about its use and handle your information following our Job Applicant Privacy Notice. AI supports our decisions, it doesn't make them.
Equal Opportunities
If you need any reasonable adjustments at any stage of the recruitment process, please contact us and we'll support you. We're committed to creating a diverse, equitable and inclusive workplace where everyone feels valued, respected and able to be themselves. We're an equal opportunities employer. We welcome applications from everyone and we do not discriminate based on age, disability, gender or gender reassignment, pregnancy or maternity, race, religion or belief, sexual orientation, marriage/civil partnership, or any other basis. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.
Data & Analytics Engineer in London employer: Entain
Entain is an exceptional employer, offering a dynamic and inclusive work environment where creativity thrives. As a Senior Motion Designer, you'll have the opportunity to work on high-profile campaigns for iconic brands while enjoying benefits like hybrid working, private medical insurance, and dedicated professional development days. Join us in shaping the future of sports betting and gaming through innovative storytelling and impactful content creation.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Engineer in London
✨Get Involved in Data Science Meetups
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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 Entain.
✨Apply Directly through Our Website
When you find a suitable opening like Data & Analytics Engineer at Entain, 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 & Analytics Engineer in London
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 Entain, 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 Entain. 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 Entain
✨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 Entain!
✨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.
