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- Tasks: Join us as a Senior Data Platform Engineer to scale real-time data processing and optimise our data ecosystem.
- Company: We're a leading telecoms company expanding into new markets with a rich data set.
- Benefits: Enjoy a competitive salary of £75,000-£80,000 plus fantastic extra benefits and primarily remote work.
- Why this job: Be part of an innovative team driving real-time analytics and automation in a dynamic environment.
- Qualifications: Experience with Java, streaming technologies like Kafka, and cloud platforms such as AWS or Azure is essential.
- Other info: This role offers the flexibility of remote work while contributing to exciting projects.
The predicted salary is between 60000 - 84000 £ per year.
An opportunity to join a popular telecoms company expanding into new markets!
THE COMPANY: Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Data Platform Engineer to help with enabling real time data processing.
THE ROLE: A remote working Senior Data Platform Engineer will need to:
- Scale real-time data processing for analytics and automation
- Enhance experimentation frameworks
- Optimise the Martech data ecosystem
YOUR SKILLS AND EXPERIENCE: A successful Senior Data Platform Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholders
- Java experience for microservicing
- Streaming experience e.g. Kafka, Kinesis, Flink
- Cloud experience - AWS, Azure, GCP
THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £75,000-80,000. On top of the salary there are some fantastic extra benefits.
HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in real-time data processing. Being able to discuss current technologies and frameworks like Kafka or Kinesis during your interview will show that you're not just experienced, but also up-to-date with industry standards.
✨Tip Number 2
Prepare examples of how you've successfully scaled data processing in previous roles. Be ready to share specific challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and hands-on experience.
✨Tip Number 3
Research the company’s recent projects and expansions into new markets. This knowledge will help you tailor your responses in the interview and show your genuine interest in their growth and how you can contribute.
✨Tip Number 4
Network with current or former employees on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable when preparing for your interview.
We think you need these skills to ace Senior Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in real-time data processing, Java, and cloud technologies. Use specific examples that demonstrate your skills in these areas to catch the employer's attention.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are interested in the Senior Data Platform Engineer role. Mention your experience with streaming technologies like Kafka or Kinesis and how you can contribute to the company's goals.
Highlight Stakeholder Interaction: Since the role requires interaction with key stakeholders, include examples in your application that showcase your communication skills and ability to work collaboratively in a team environment.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Java, streaming technologies like Kafka or Kinesis, and cloud platforms such as AWS or Azure. Highlight specific projects where you've successfully implemented these technologies.
✨Understand the Company’s Data Needs
Research the telecoms company and their data processing requirements. Be ready to explain how you can help scale real-time data processing and enhance their experimentation frameworks.
✨Engage with Stakeholders
Demonstrate your ability to interact with key stakeholders. Prepare examples of how you've effectively communicated technical concepts to non-technical team members in previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data ecosystem and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
