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- Tasks: Develop and maintain data architectures while collaborating on exciting projects.
- Company: Join N Consulting Ltd, a dynamic and inclusive tech company.
- Benefits: Enjoy competitive pay, flexible hours, and professional development opportunities.
- Why this job: Be at the forefront of data processing technologies and make a real impact.
- Qualifications: 8+ years in data engineering with expertise in big data tools and AWS.
- Other info: Work in a fast-paced environment with great team-building activities.
The predicted salary is between 72000 - 81000 £ per year.
Location: London, England, United Kingdom
Salary: £400 - £450 /day
Job Type: Contract
Date Posted: January 16th, 2026
Role: Senior Streaming Data Engineer (AWS / Apache Flink)
Duration: Contract (2-3 months)
Skills Requirements:
- MSF (Managed Service for Apache Flink)
- Data analytics expertise
- MSK (Managed Streaming for Apache Kafka), Amazon Redshift, Amazon Aurora
- CI/CD expertise & CloudFormation
- Machine Learning is good to have
- Usage of Kiro IDE
Responsibilities:
- Analyze and organize raw, complex data
- Develop and maintain architectures such as databases and processing systems
- Implement systems for tracking data quality and consistency
- Collaborate with data scientists and architects on several projects
- Develop data set processes and use programming skills to build robust data pipelines
- Design, construct, install, test and maintain data management systems
- Build high-performance algorithms, predictive models, and prototypes
- Ensure the business uses the data responsibly and complies with data protection regulations
Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering or related field
- At least 8 years of experience in data engineering or in a similar role
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
- Knowledge of programming languages including Java, Python, etc.
- Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Strong organizational and communication skills
- Ability to work in a fast-paced, agile environment
Benefits:
- Innovative and dynamic work environment
- Continued professional development opportunities
- Competitive compensation package
- Comprehensive health and benefits package
- Flexible work hours and remote work options
- Team building and social activities
As a Streaming Data Engineer at N Consulting Ltd, you will have the opportunity to be part of a diverse and dedicated team, working at the forefront of data processing technologies. Our company culture is inclusive and innovative, where every employee is valued and has a tangible impact on the services we provide to our clients.
Streaming Data Engineer employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Streaming Data Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving AWS, Apache Flink, or any big data tools. Having tangible examples of your work can really set you apart from the crowd.
✨Ace the Interview
Prepare for those interviews by brushing up on your technical skills and being ready to discuss your past experiences. Practice common interview questions and think about how your background in data engineering makes you the perfect fit for their team.
✨Apply Through Our Website
When you find a role that excites you, make sure to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Streaming Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Apache Flink, and data analytics. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about streaming data engineering and how you can contribute to our team. Keep it concise but impactful!
Show Off Your Technical Skills: Don’t forget to mention your expertise in big data tools and programming languages like Java and Python. We love seeing candidates who can demonstrate their technical prowess clearly.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at N Consulting Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, Apache Flink, and Kafka. Brush up on your knowledge of data analytics and CI/CD processes, as these will likely come up during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your expertise in building data pipelines and managing data quality. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, or how they handle data compliance. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Demonstrate Collaboration Skills
Since the role involves working closely with data scientists and architects, be ready to discuss how you’ve successfully collaborated in the past. Highlight any experiences where teamwork led to successful project outcomes, as this will resonate well with the interviewers.
