At a Glance
- Tasks: Architect and deploy AWS serverless data pipelines for real-time analytics.
- Company: Allwyn Lottery Solutions, a leader in innovative gaming technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Mentorship opportunities and collaboration with talented developers.
- Why this job: Join a dynamic team and make an impact on international gaming solutions.
- Qualifications: Experience in data engineering and AWS serverless technologies.
The predicted salary is between 63000 - 77000 £ per year.
Allwyn Lottery Solutions seeks an experienced data engineer to architect and deploy AWS serverless data pipelines for real-time streams and analytics, serving international clients.
You will integrate marketing tech including a real-time CDP, and lead data ingestion, processing, and monitoring across the stack.
You will also mentor application support staff and collaborate with developers to enhance the gaming platform integration, ensuring robust, cost-efficient, and scalable data solutions.
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Senior Data Engineer - Real-Time AWS Serverless Platform employer: Allwyn Lottery Solutions
At Allwyn Lottery Solutions, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work environment that fosters innovation and collaboration. Our commitment to employee growth is reflected in our extensive training resources, flexible working options, and a comprehensive benefits package that includes health insurance and well-being allowances. Located in Greece, we are recognised as one of the Great Place to Work® Hellas Best Workplaces™ for Women, showcasing our dedication to creating a supportive atmosphere where every team member can thrive.
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We think you need these skills to ace Senior Data Engineer - Real-Time AWS Serverless Platform
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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