Senior Data Engineer at Entain

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, BI Engineering, Cloud Solutions, Data Pipeline Orchestration, Data Security, Data Governance, Cloud Optimization, Operational Support, Troubleshooting, Collaboration, SQL, DBT, CI/CD Pipelines, AWS, Kafka, Data Modelling

Industry

Entertainment Providers

Description

Company Description We’re Entain. Our vision is to be the world leader in sports betting and gaming entertainment by creating the most exciting and trusted experience for our customers, revolutionising the gambling space as we go. We're home to a global family of more than 25 well-known brands, and with a focus on sustainability and growth, we will transform our sector for our players, for ourselves and for the good of entertainment. Our vision is to be the world leader in betting, gaming and interactive entertainment by bringing moments of excitement into people’s lives. We will achieve this through our focus on sustainability and growth, driving change in the fast-paced world of entertainment. Job Description This role will suit an experienced Data and BI Engineer, with experience working for a Technology department and interested to use the latest cloud tech. Design, code, deploy, and manage data cloud solutions Automate data pipeline orchestration, scheduling and monitoring Implement data security and access controls Implement data governance frameworks Optimize cloud resources for performance, scalability, and cost efficiency. Provide ongoing operational support for analytics platforms in the cloud. Troubleshoot and resolve issues related to infrastructure, performance, and availability. Implement monitoring and alerting systems to proactively identify and address potential issues. Respond to and resolve incidents, ensuring minimal impact on analytics operations. Collaborate with data engineers, analysts, and other stakeholders to understand data requirements. Work closely with cross-functional teams to ensure seamless integration of analytics solutions. Implement and enforce security best practices for cloud-based analytics infrastructure. Maintain comprehensive documentation for cloud infrastructure configurations, processes, and operational procedures Qualifications Essential: Held a similar position in a large corporate, experienced working with hundreds of terabytes of data Strong experience with Data Warehousing projects Strong understanding of Industry standard Data Modelling skills (i.e. Kimball) including ETL and ELT practices Snowflake, PowerBI, OLAP technology Strong coding and scripting using SQL and DBT Working experience of CI/CD pipelines and tools Proficiency in cloud platforms, in particular AWS but also Azure, or Google Cloud. Experience with low latency data (e.g. Kafka/Kinesis) Experience handling, structured, semi-structure and unstructured information Proven ability to set up effective alerting systems. Knowledge of security best practices for cloud environments. Strong SQL to performance optimisation Additional Information Solid stakeholder management, with customer service focus Logical thinker Able to deal efficiently with operational incidents Collaboration: Communicates effectively with a positive impact At Entain, we do what's right. It's one of our core values and that's why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.

Responsibilities

The Senior Data Engineer will design, code, deploy, and manage data cloud solutions while automating data pipeline orchestration and implementing data security measures. They will also provide ongoing operational support for analytics platforms and collaborate with cross-functional teams to ensure seamless integration of analytics solutions.