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- Tasks: Design and implement streaming data solutions using AWS and Apache Flink.
- Company: Dynamic tech consulting firm based in Greater London.
- Benefits: Competitive daily rate, flexible hours, remote work, and comprehensive benefits.
- Why this job: Join a forward-thinking team and shape the future of data engineering.
- Qualifications: 8+ years in data engineering with skills in Hadoop, Spark, Java, and Python.
- Other info: Exciting contract role with opportunities for professional growth.
A dynamic tech consulting firm in Greater London is seeking a Senior Streaming Data Engineer with expertise in AWS and Apache Flink. This contract role offers £400 - £450 per day for 2-3 months.
The ideal candidate has over 8 years of data engineering experience, is proficient in big data tools like Hadoop and Spark, and is familiar with programming languages like Java and Python.
The position allows for flexible work hours and remote options, along with a comprehensive benefits package.
Senior Streaming Data Engineer – Remote, Flexible Hours employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Streaming Data Engineer – Remote, Flexible Hours
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AWS or Apache Flink. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with big data tools like Hadoop and Spark. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview! Brush up on your knowledge of Java and Python, and be ready to discuss how you've used these languages in your previous roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Streaming Data Engineer – Remote, Flexible Hours
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Apache Flink, and other big data tools. We want to see how your skills match the job description, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Streaming Data Engineer role. Share specific examples of your past work that relate to the position.
Showcase Your Technical Skills: Since this role requires proficiency in programming languages like Java and Python, make sure to mention any relevant projects or experiences. We love seeing how you’ve applied your skills in real-world scenarios!
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 don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at N Consulting Limited
✨Know Your Tech Inside Out
Make sure you brush up on your AWS and Apache Flink knowledge. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Big Data Skills
Prepare to talk about your experience with big data tools like Hadoop and Spark. Have examples ready that demonstrate how you've leveraged these tools to solve complex data problems in previous roles.
✨Demonstrate Programming Proficiency
Since programming languages like Java and Python are key for this role, be prepared to answer technical questions or even do a coding challenge. Practise common algorithms and data structures to ensure you're sharp on the day.
✨Emphasise Flexibility and Remote Work Experience
Given the remote and flexible nature of the job, highlight any previous experience working in similar environments. Discuss how you manage your time effectively and stay productive while working from home.
