At a Glance
- Tasks: Join an agile team to design and deliver high-performance data solutions.
- Company: Dynamic company focused on innovation in the Data & AI sector.
- Benefits: Comprehensive learning programmes, health care, and employee assistance.
- Other info: Inclusive environment with opportunities for growth across 17 countries.
- Why this job: Leverage cutting-edge AI tools and make a real impact in data engineering.
- Qualifications: Experience in SQL or C#, and strong communication skills.
The predicted salary is between 45000 - 60000 £ per year.
Department: Data & AI
Reporting to: Lead Data Engineer
Responsibilities
- Collaborate within an agile Data Engineering team, contributing to planning, delivery, and continuous improvement.
- Work closely with technical leads and business stakeholders to design and deliver scalable, high‑performance data solutions.
- Share knowledge and grow alongside your peers through pair programming, workshops, mentoring, and collaborative problem‑solving.
- Leverage the latest AI tools and techniques to enhance development workflows and improve team efficiency.
- Design, build, and maintain robust ETL services and real‑time data pipelines, ensuring reliability, scalability, and high data quality.
- Deliver both functional and non‑functional requirements, taking ownership of implementation quality and alignment with best practices.
- Develop and support CI/CD pipelines, embedding automated testing to ensure consistent, high‑quality releases.
This job description outlines the core responsibilities of the role but is not exhaustive. You may be asked to take on additional reasonable duties to support broader business objectives.
Essential Skills
- Strong verbal and written communication skills, with the ability to convey complex ideas clearly and effectively.
- Experience working collaboratively in cross‑functional teams, with a focus on achieving shared goals.
- Experience in managing multiple projects simultaneously, with a track record of delivering on time and within scope.
- Strong attention to detail, ensuring high standards of quality in all outputs.
- Ability to adapt quickly to changing environments and priorities, maintaining effectiveness in dynamic situations.
- Demonstrable understanding of data processing using SQL or C#.
- Exposure to building data services in a cloud environment (ideally Azure).
Desirable Skills
- In‑depth knowledge of sports betting markets, including odds calculation, betting types, and market trends.
- Previous experience in the online gaming or casino industry, with a strong understanding of player behaviour and industry regulations.
- Experience working with the ClickHouse OLAP database engine.
- Proficiency in .NET, Visual Studio / Visual Studio Code, Node.JS.
- Experience using GitHub and Azure DevOps.
- Familiarity with GitHub Copilot and modern AI‑assisted coding practices.
- Experience with message queues and building eventually consistent systems (e.g. Kafka, Azure Event Hubs).
- Experience providing Infrastructure as Code, e.g. using Terraform or Pulumi.
- Experience writing automated tests and integrating them into a CI/CD pipeline.
Values
- Adaptability
- Ownership and accountability
- Initiating action
- Resilience
- Team orientation
- Integrity
- Innovation
Benefits
- Comprehensive learning and development programmes.
- Performance Tool providing regular constructive feedback.
- Employee Assistance programme includes: Vitality Health Care, Unum Dental, Life Assurance & Income Protection, Tusker car scheme, Cycle to Work, Retail discounts.
Betway and Super Group champion diversity, equity and inclusion, and provide an inclusive and supportive environment across 17 countries.
Data Engineer employer: Dormont Manufacturing Co
At Betway, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within our Data & AI team. Our commitment to employee growth is evident through comprehensive learning programmes and a supportive environment that champions diversity and inclusion across 17 countries. Join us in London to leverage cutting-edge AI tools while enjoying benefits like health care, dental coverage, and a vibrant team-oriented atmosphere that encourages personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even online forums. The more you engage with others, the better your chances of landing that Data Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving ETL services or real-time data pipelines. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on SQL, C#, and cloud environments like Azure. Practice common interview questions and be ready to discuss how you've collaborated in cross-functional teams.
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest opportunities tailored for Data Engineers like you.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with SQL, C#, and any cloud environments like Azure. We want to see how your skills align with our needs!
Showcase Your Collaboration Skills:Since we value teamwork, share examples of how you've worked in cross-functional teams. Talk about your experiences in agile environments and how you’ve contributed to shared goals. This will help us see your fit within our team!
Be Clear and Concise:Strong communication is key! When writing your application, make sure to convey your ideas clearly. Avoid jargon unless necessary, and keep it straightforward so we can easily understand your qualifications.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Data Tools
Make sure you brush up on your knowledge of SQL, C#, and any cloud environments like Azure. Be ready to discuss how you've used these tools in past projects, as well as any experience with ETL services or real-time data pipelines.
✨Showcase Your Collaboration Skills
Since the role involves working closely with cross-functional teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve contributed to team goals or solved problems together, and be ready to share those stories.
✨Demonstrate Adaptability
The job requires quick adaptation to changing environments. Prepare to discuss situations where you had to pivot or adjust your approach due to shifting priorities. This will show that you can thrive in dynamic settings.
✨Emphasise Quality and Best Practices
Be prepared to talk about how you ensure high standards in your work. Discuss your experience with CI/CD pipelines, automated testing, and how you maintain quality in your outputs. This will demonstrate your commitment to delivering reliable and scalable data solutions.
