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- Tasks: Develop and enhance a business-critical data platform with real-time streaming solutions.
- Company: Leading tech firm in Manchester with a technology-driven engineering team.
- Benefits: Up to £55,000 salary, bonuses, and hybrid working model.
- Why this job: Join a dynamic team and work with cutting-edge technologies like Apache Kafka.
- Qualifications: Strong experience with Apache Kafka and programming languages like Python, Java, or Go.
The predicted salary is between 42000 - 66000 £ per year.
A leading tech firm in Manchester seeks a Data Platform Engineer to join their technology-driven engineering team. You will be responsible for developing and enhancing their business-critical data platform, focusing on real-time streaming solutions.
Key qualifications include:
- Strong hands-on experience with Apache Kafka
- A high-level programming language such as Python, Java, or Go
This role offers up to £55,000 plus bonuses and allows for a hybrid working model.
Kafka Data Platform Engineer - Hybrid in Manchester employer: Adalta
Contact Detail:
Adalta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Kafka Data Platform Engineer - Hybrid in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Kafka or data platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects showcasing your Kafka expertise or programming prowess, make sure to highlight it during interviews. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and Kafka knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Kafka Data Platform Engineer - Hybrid in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Apache Kafka and any relevant programming languages like Python, Java, or Go. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Platform Engineer role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the position.
Showcase Your Projects: If you've worked on any real-time streaming solutions or data platforms, be sure to mention them in your application. We appreciate candidates who can demonstrate their hands-on experience and problem-solving skills through past projects.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Adalta
✨Know Your Kafka Inside Out
Make sure you brush up on your Apache Kafka knowledge. Be prepared to discuss its architecture, key concepts like producers, consumers, and topics, and any real-time streaming solutions you've worked on. This will show that you're not just familiar with the tool but can also leverage it effectively.
✨Showcase Your Coding Skills
Since strong programming skills in Python, Java, or Go are essential, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Highlight any projects where you've used these languages to build data solutions.
✨Understand the Business Impact
It's crucial to connect your technical skills to the business outcomes. Think about how your work as a Data Platform Engineer can enhance real-time decision-making for the company. Prepare examples of how your previous projects have positively impacted business processes or outcomes.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the role and the company. Ask about their current data challenges, the team dynamics, or how they envision the future of their data platform. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.