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174,000+ live jobsData & Analytics Engineer
Hybrid in London·Full-time·Added today (last checked 12 Nov)
Our summary
- Work mode
- Hybrid, London
- Contract
- Full-time
- Experience
- Senior level
- Holiday
- 25 days holiday + bank holidays




Skills
Pay & benefits
What you'll get
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.
The role
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.
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 provide technical leadership across the data platform, define engineering standards and architecture while delivering complex, data solutions. you will be part of the,Data & Analytics department whoefining engineering standards and architecture while delivering complex, data solutions.
What you'll do
You Will:
- Lead the design and implementation of scalable, high-performing and cost-efficient data architectures and pipelines across the platform.
- Set the technical direction and engineering standards for data, including modelling, CI/CD, DataOps, testing and development best practices.
- Promote the delivery of complex, data programmes, collaborating with engineering, analytics, product teams and senior partners.
- Ensure data is accessible, reliable and fit for purpose, resolving systemic issues and improving platform performance, scalability and cost optimisation.
- Champion data governance, security and regulatory compliance, ensuring you manage data in line with organisational standards and implement access controls.
- Provide technical leadership and mentorship, contributing to code and design reviews while influencing tooling, frameworks and latest technologies to strengthen engineering capability.
Qualifications
You Have:
- Expertise in data engineering, including data pipelines, modelling, platform architecture and designing scalable, production-grade data systems.
- Advanced SQL and programming skills, such as Python or R, with experience working across cloud data platforms including Snowflake, Databricks, Amazon Web Services, Google Cloud Platform or Azure.
- Experience establishing engineering best practices, including SDLC, CI/CD, testing, QA frameworks, orchestration and DataOps.
- Experience with data governance, security and compliance, with experience advocating these principles into engineering practices.
- A focus on performance, reliability and cost optimisation, building efficient data platforms that scale while delivering performance.
- solve complex technical challenges, embrace new technologies and improve for both engineering teams and the customer experience.
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.
About Entain
- Industry
- Gambling
- Founded
- 2004
- Employees
- 10,000–50,000
- Headquarters
- London, UK
In their own words
Additional information
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.
This is a hybrid role.