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.
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
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
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.
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