At a Glance
- Tasks: Design and develop backend features while collaborating with cross-functional teams.
- Company: Aker Systems, a forward-thinking tech company in the UK.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting projects with a focus on innovation and teamwork.
- Why this job: Join a dynamic team and work with cutting-edge technologies like Java and Kafka.
- Qualifications: Experience in backend development and familiarity with Continuous Deployment practices.
The predicted salary is between 60000 - 80000 £ per year.
Aker Systems in the United Kingdom is seeking a skilled backend engineer to design, develop, document, and deploy new or enhanced backend features. You will participate in team elaboration and estimation of user stories, and build frequent, small releases to maintain momentum. You will collaborate with engineers in cross-functional teams, maintain operational responsibility for services, and help build, optimize, and operate Continuous Deployment pipelines, using Java, Spring Boot, and Kafka.
Senior Data Platform Engineer - Cloud, Big Data & DevOps employer: Aker Systems
Aker Systems is an exceptional employer that prioritises a collaborative and inclusive work culture, making it a great place for talented individuals to thrive. With a commitment to employee growth and development, we offer opportunities to work on cutting-edge technology solutions in a supportive environment, all while enjoying a competitive salary and generous holiday allowance. Our recognition in the industry, including the Breakthrough Culture Awards, reflects our dedication to fostering a workplace where everyone can contribute their best work.
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We think this is how you could land Senior Data Platform Engineer - Cloud, Big Data & DevOps
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We think you need these skills to ace Senior Data Platform Engineer - Cloud, Big Data & DevOps
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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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
