Senior Data Engineer at bet365

Denver, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

11 May, 26

Salary

150000.0

Posted On

10 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics, Technical Direction, SQL, Google BigQuery, Kafka, Data Visualization, Power BI, Looker, AI Tools, Collaboration, Coaching, Mentoring, Data Security, Automation, Self-Service Tools

Industry

Gambling Facilities and Casinos

Description

Company Description At bet365, 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 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak. 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 opportunities for growth, 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 customers worldwide. Job Description This is a unique opportunity to become the one of first pure technical hires for our US Data team in Denver, directly supporting the US Data Lead. In this pivotal role, you’ll set the standard and culture for the US Data function, shaping a pragmatic, results-driven team where “getting things done” is not just encouraged but required. The environment is fast, agile, and quality-focused—ideal for someone who thrives in startup or scale-up settings where delivery and automation are paramount. You will collaborate closely with global colleagues, setting an example of partnership and technical excellence across borders. The listed salary for this position is $120,000-$150,000 annually. Qualifications Proven experience in a startup or agile business environment, and the ability to work with speed and a focus on delivery. Experience setting technical direction, standards, and best practices for data engineering and analytics within a growing team. Ability to lead technical solution decisions—including product evaluations and proof-of-concept initiatives, and influencing others to follow. Strong background in educating and upskilling technical team members, as well as coaching and supporting junior colleagues. Track record of enabling business stakeholders through self-service tools and fostering more data-driven and agile business teams. Exceptional communication and collaboration skills—able to work efficiently with colleagues across time zones and cultures. Hands-on expertise with Google BigQuery as both a data lake and data warehouse solution. Advanced SQL skills for data transformation and analysis. Practical experience with Kafka for real-time data ingestion. Familiarity with leading data visualization tools such as Power BI and Looker. Experience leveraging AI tools and techniques—both to accelerate the building of data solutions and to provide innovative, AI-driven insights and solutions to business teams. Additional Information Deliver robust, secure, and high-quality data engineering and analytical solutions at speed, with a constant focus on data security. Champion technical excellence by setting, enforcing, and evolving technical standards within the US Data team. Determine and implement the best-fit technical solutions and products, including evaluation, proof-of-concept development, and technical education for the team. Build and automate data pipelines and analytical processes, ensuring scalability, reliability, and security of data assets. Enable business teams with self-service data tools, empowering them to make data-driven decisions and become more agile. Foster a culture of collaboration and continuous improvement, both within the US team and globally. Coach and mentor less experienced team members, supporting their technical and professional development. Act as a key advocate and implementer of AI-driven solutions, both to accelerate internal development and to deliver innovative analytics and insights for business teams. bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Workplace Type: Hybrid Department: Sports Platform (Colorado) Full Time/Part Time: Full Time Shift Pattern: n/a Job Type: Evergreen Compensation: USD120000 - USD150000 - yearly

Responsibilities

Deliver robust, secure, and high-quality data engineering and analytical solutions at speed. Build and automate data pipelines and analytical processes, ensuring scalability, reliability, and security of data assets.